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1.
  • Abourraja, Mohamed Nezar, et al. (författare)
  • A simulation-based decision support framework devoted to Ro-Ro terminals : Design, implementation and evaluation
  • 2023
  • Ingår i: Computers & industrial engineering. - : Elsevier BV. - 0360-8352 .- 1879-0550. ; 180, s. 109248-
  • Tidskriftsartikel (refereegranskat)abstract
    • As a type of intermodal terminal, pure Ro-Ro terminals are one of the most important logistic hubs in the supply chain for rolling freight stored in containerized and wheeled steel boxes. These large-scale systems are highly complex, with nonlinear and hard-to-predict behavior evolving in a stochastic environment. Consequently, making decisions about any problem thereof is no mean feat, particularly for terminal planners. To assist them in decision-making, a pool of relevant models and tools have been developed over the years in the literature. Nevertheless, models that are oriented toward specific objectives dominate, and generic ones are rare. This paper tries to fill this gap and proposes a generic framework to be used as a factory to create specific decision support models based on simulation for pure Ro-Ro terminals. This framework is formulated following two artifacts: (1) the known classification of key performance indicators combined with the typical functional and physical organization of pure Ro-Ro terminals; (2) the three main arteries of harbor systems, namely flows, decisions and operations. Then a scalable way of making decisions based on a flexible form of the cost function weighted according to a set of coefficients is integrated. These designed coefficients allow decision-makers a wide flexibly in choosing how the best solutions are determined. An application of this framework is illustrated through a real case study, where the weights are estimated using an expert-profiling based approach then pushed into the OptQuest optimizer to be calibrated before analyzing the results. These results are aggregated, then expressed as scores on a scale of 0 to 1. This is to help terminal planners to easily identify the worst and best planning scenarios as well as the relationships and compatibilities between the involved handling rules to suggest different alternatives for managing operations.
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2.
  • Agrawal, Tarun Kumar, et al. (författare)
  • Blockchain-based Framework for Supply Chain Traceability : A Case Example of Textile and Clothing Industry
  • 2021
  • Ingår i: Computers & industrial engineering. - : Elsevier BV. - 0360-8352 .- 1879-0550.
  • Tidskriftsartikel (refereegranskat)abstract
    • Traceability has emerged as a prime requirement for a multi-tier and multi-site production. It enables visibility and caters to the consumer requirements of transparency and quality assurance. Textile and clothing industry is one such example that requires traceability implementation to address prevailing problems of information asymmetry and low visibility. Customers find it difficult to access product data that can facilitate ethical buying practices or assure product authenticity. Besides, it is challenging for stakeholders to share crucial information in an insecure environment with risk of data manipulations and fear of losing information advantage. In this context, this study investigates and proposes a blockchain-based traceability framework for traceability in multi-tier textile and clothing supply chain. It conceptualizes the interaction of supply chain partners, and related network architecture at the organizational level and smart contract and transaction validation rules at the operational level. To illustrate the application of the proposed framework, the study presents an example of organic cotton supply chain using blockchain with customized smart contract and transaction rules. It finally demonstrates the applicability of the developed blockchain by testing it under two parameters. The proposed system can build a technology-based trust among the supply chain partners, where the distributed ledger can be used to store and authenticate supply chain transactions. Further, the blockchain-based traceability system would provide a unique opportunity, flexibility, and authority to all partners to trace-back their supply network and create transparent and sustainable supply chain.
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3.
  • Akillioglu, Hakan, et al. (författare)
  • Characterization of continuous precise workload control and analysis of idleness penalty
  • 2016
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 102, s. 351-358
  • Tidskriftsartikel (refereegranskat)abstract
    • The variability in the market conditions is growing in terms of its frequency of change and range of diversity. In response to this new industrial panorama, research on production systems is aiming to achieve highly reconfigurable shop floors. Frequent changes in such systems require also frequent re-planning with updated information. In this regard the Continuous Precise Workload Control method, is a recent approach aiming at precise control of workload in shop floor with the use of direct load graphs. Supported by a multi-agent platform, it generates dynamic non-periodic release decisions exploiting real time shop floor information. The study in this paper is two folded; (1) the presented workload approach is defined in terms of eight dimensions of the workload control concept in order to highlight its distinctive characteristics and (2) the impact of idleness penalty factor is analyzed by an experiment design in order to investigate its effect on the job release decision. The results show that the idleness penalty factor decreases the idleness of the resources up to a point where the adverse effect is initiated.
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4.
  • Alzghoul, Ahmad, et al. (författare)
  • Data stream forecasting for system fault prediction
  • 2012
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 62:4, s. 972-978
  • Tidskriftsartikel (refereegranskat)abstract
    • Competition among today’s industrial companies is very high. Therefore, system availability plays an important role and is a critical point for most companies. Detecting failures at an early stage or foreseeing them before they occur is crucial for machinery availability. Data analysis is the most common method for machine health condition monitoring. In this paper we propose a fault-detection system based on data stream prediction, data stream mining, and data stream management system (DSMS). Companies that are able to predict and avoid the occurrence of failures have an advantage over their competitors. The literature has shown that data prediction can also reduce the consumption of communication resources in distributed data stream processing. In this paper different data-stream-based linear regression prediction methods have been tested and compared within a newly developed fault detection system. Based on the fault detection system, three DSM algorithms outputs are compared to each other and to real data. The three applied and evaluated data stream mining algorithms were: Grid-based classifier, polygon-based method, and one-class support vector machines (OCSVM). The results showed that the linear regression method generally achieved good performance in predicting short-term data. (The best achieved performance was with a Mean Absolute Error (MAE) around 0.4, representing prediction accuracy of 87.5%). Not surprisingly, results showed that the classification accuracy was reduced when using the predicted data. However, the fault-detection system was able to attain an acceptable performance of around 89% classification accuracy when using predicted data.
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5.
  • Alzghoul, Ahmad, et al. (författare)
  • Increasing availability of industrial systems through data stream mining
  • 2011
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 60:2, s. 195-205
  • Tidskriftsartikel (refereegranskat)abstract
    • Improving industrial product reliability, maintainability and thus availability is a challenging task for many industrial companies. In industry, there is a growing need to process data in real time, since the generated data volume exceeds the available storage capacity. This paper consists of a review of data stream mining and data stream management systems aimed at improving product availability. Further, a newly developed and validated grid-based classifier method is presented and compared to one-class support vector machine (OCSVM) and a polygon-based classifier.The results showed that, using 10% of the total data set to train the algorithm, all three methods achieved good (>95% correct) overall classification accuracy. In addition, all three methods can be applied on both offline and online data.The speed of the resultant function from the OCSVM method was, not surprisingly, higher than the other two methods, but in industrial applications the OCSVMs' comparatively long time needed for training is a possible challenge. The main advantage of the grid-based classification method is that it allows for calculation of the probability (%) that a data point belongs to a specific class, and the method can be easily modified to be incremental.The high classification accuracy can be utilized to detect the failures at an early stage, thereby increasing the reliability and thus the availability of the product (since availability is a function of maintainability and reliability). In addition, the consequences of equipment failures in terms of time and cost can be mitigated.
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6.
  • Beldar, Pedram, et al. (författare)
  • Non-identical parallel machines batch processing problem with release dates, due dates and variable maintenance activity to minimize total tardiness
  • 2022
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 168
  • Tidskriftsartikel (refereegranskat)abstract
    • Combination of job scheduling and maintenance activity has been widely investigated in the literature. We consider a non-identical parallel machines batch processing (BP) problem with release dates, due dates and variable maintenance activity to minimize total tardiness. An original mixed integer linear programming (MILP) model is formulated to provide an optimal solution. As the problem under investigation is known to be strongly NP-hard, two meta-heuristic approaches based on Simulated Annealing (SA) and Variable Neighborhood Search (VNS) are developed. A constructive heuristic method (H) is proposed to generate initial feasible solutions for the SA and VNS. In order to evaluate the results of the proposed solution approaches, a set of instances were randomly generated. Moreover, we compare the performance of our proposed approaches against four meta-heuristic algorithms adopted from the literature. The obtained results indicate that the proposed solution methods have a competitive behaviour and they outperform the other meta-heuristics in most instances. Although in all cases, H + SA is the most performing algorithm compared to the others.
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7.
  • Cao, Cejun, et al. (författare)
  • Digital twin-driven robust bi-level optimisation model for COVID-19 medical waste location-transport under circular economy
  • 2023
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 186
  • Tidskriftsartikel (refereegranskat)abstract
    • COVID-19 medical waste collection-transport system, including the location of the related facilities, transport, and disposal, is a critical component in the circular economy. To promote the circularity of the waste management system and mitigate the spread of novel coronavirus, how to optimise COVID-19 medical waste location-transport strategies remains an open but urgent issue. In this paper, a novel digital twin-driven conceptual framework is proposed to improve the strategic decision on the location of temporary disposal centres and, subsequently, the operational decision on the transport of COVID-19 medical waste in the presence of hierarchical relationships amongst stakeholders, circular economy, environmental regulations, service level, and uncertainty in infection probability. The polyhedral uncertainty set is introduced to characterise stochastic infection probability. Digital twin technology is further used to estimate the upper and lower bound of the uncertainty set. Such a problem is formulated as a digital twin-driven robust bi-level mixed-integer programming model to minimise total infection risks on the upper level and total costs on the lower level. A hybrid solution strategy is designed to combine dual theory, Karush-Kuhn-Tucker (KKT) conditions, and a branch-and-bound approach. Finally, a real case study from Maharashtra in India is presented to evaluate the proposed model. Results demonstrate that the solution strategy performs well for such a complex problem because the CPU time required to conduct all experiments is less than one hour. Under a given uncertainty level of 36 and perturbation ratio of 20%, a regional transport strategy is preferred from generation points to transfer points, while a cross regional one is usually implemented from transfer points to disposal centres. It is of significance to determine the bound of available temporary disposal centres. Using digital technology (e.g., digital twin) to accurately estimate the amount of COVID-19 medical waste is beneficial for controlling the pandemic. Reducing infection risks relative to cost is the prioritised goal in cleaning up COVID-19 medical waste within a relatively long period.
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8.
  • Cebecauer, Matej, et al. (författare)
  • A versatile adaptive aggregation framework for spatially large discrete location-allocation problems
  • 2017
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 111, s. 364-380
  • Tidskriftsartikel (refereegranskat)abstract
    • We propose a versatile concept of the adaptive aggregation framework for the facility location problems that keeps the problem size in reasonable limits. Most location-allocation problems are known to be NP-hard. Thus, if a problem reaches the critical size, the computation exceeds reasonable time limits, or all computer memory is consumed. Aggregation is a tool that allows for transforming problems into smaller sizes. Usually, it is used only in the data preparation phase, and it leads to the loss of optimality due to aggregation errors. This is particularly remarkable when solving problems with a large number of demand points. The proposed framework embeds the aggregation into the solving process and it iteratively adjusts the aggregation level to the high quality solutions. To explore its versatility, we apply it to the p-median and to the lexicographic minimax problems that lead to structurally different patterns of located facilities. To evaluate the optimality errors, we use benchmarks which can be computed exactly, and to explore the limits of our approach, we study benchmarks reaching 670,000 demand points. Numerical experiments reveal that the adaptive aggregation framework performs well across a large range of problem sizes and is able to provide solutions of higher quality than the state-of-the-art exact methods when applied to the aggregated problem.
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9.
  • Englund, Cristofer, et al. (författare)
  • Ink flow control by multiple models in an offset lithographic printing process
  • 2008
  • Ingår i: Computers & industrial engineering. - Oxford : Pergamon Press. - 0360-8352 .- 1879-0550. ; 55:3, s. 592-605
  • Tidskriftsartikel (refereegranskat)abstract
    • A multiple model-based controller has been developed aiming at controlling the ink flow in the offset lithographic printing process. The control system consists of a model pool of four couples of inverse and direct models. Each couple evaluates a number of probable control signals and the couple, generating the most suitable control signal is used to control the printing press, at that moment. The developed system has been tested at a newspaper printing shop during normal production. The results show that the developed modelling and control system is able to drive the output of the printing press to the desired target levels.
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10.
  • Fager, Patrik, 1988, et al. (författare)
  • Kit preparation for mixed model assembly – efficiency impact of the picking information system
  • 2019
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 129, s. 169-178
  • Tidskriftsartikel (refereegranskat)abstract
    • Kitting is an increasingly common materials supply principle in mixed-model assembly. Several types of picking information systems are available for supporting kit preparation, but there is no consensus in the literature or in the industry about which type should be used. Furthermore, to prevent errors, industrial applications typically require a confirmation when components are picked from storage and placed in kits, but previous research that considers confirmations is scarce. The purpose of this paper is to establish the extent to which the type of picking information system impacts the time-efficiency of kit preparation when confirmations are required, considering the two cases of single-kit and batch preparation as well as the picking density of the picking area. In the paper, a realistic laboratory experiment is used to compare the time-efficiency associated with four types of picking information systems – pick-by-paper, pick-by-light, pick-by-voice and pick-by-HUD (Head-Up Display) – when applied in kit preparation. In the comparison, the type of picking information system used is found crucial for the time-efficiency of both single-kit and batch preparation. Pick-by-light and pick-by-HUD applied with single-kit preparation show to be more efficient than when applied with batch preparation, likely owing to the extra time for performing placement confirmations with batching. The visually intuitive information provided by pick-by-light and pick-HUD show to be efficient when applied with single-kit preparation. Applying pick-by-paper – with which one confirmation is made for every order line – with batch preparation gives superior efficiency over the other systems for which each storage location and kit-container is confirmed. Pick-by-HUD seems to benefit more than the other systems from higher picking density, while pick-by-light seems to benefit more from the improved overview associated with lower picking density. Pick-by-voice is found associated with low efficiency overall, likely owing to the short walking distances – and hence less time in between picks to administer the voice dialogue – normally associated with kit preparation. The paper suggests further research to study how the graphical interface in pick-by-HUD systems should be designed. Moreover, combinations of information conveyance and confirmation methods other than those typically used in industry should be studied.
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11.
  • Fathi, Masood, et al. (författare)
  • Balancing assembly lines with industrial and collaborative robots : Current trends and future research directions
  • 2024
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 193
  • Forskningsöversikt (refereegranskat)abstract
    • Assembly-line balancing is a significant issue in production systems. Employing industrial robots as the main production resource was a milestone in developing assembly lines, and emerging Industry 4.0 led industries to build collaborative assembly lines by combining robots and human operator skills. Recently, the majority of research on assembly line balancing has contributed to addressing aspects of utilizing robots in assembly lines and how they can increase line performance. Various models and methods are developed, considering different objectives and performance indicators. Despite the increasing number of studies in this area, a thorough literature review is lacking in identifying gaps, shedding light on research directions, and facilitating future development. This study systematically reviews assembly-line balancing studies targeted at assembly lines with industrial and collaborative robots. Studies are classified based on their objectives and reviewed for their solution method, line layout, and other essential specifications. A descriptive analysis is provided to assist researchers and practitioners in linking different properties of assembly lines to the objectives and applied methodologies. The results show that most studies developed models and solution methods that focused on simultaneously optimizing more than one objective. The review reveals that minimizing the cycle time is the most popular objective, and meta-heuristic algorithms are the dominant solution approaches. It is also observed that balancing assembly lines with collaborative robots has received more attention in the last five years with the emergence of Industry 4.0. The review also highlights gaps in the related literature and provides promising insights for future research.
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12.
  • Fredin, Johan, et al. (författare)
  • Holistic methodology using computer simulation for optimisation of machine tools
  • 2012
  • Ingår i: Computers & industrial engineering. - : Pergamon Elsevier. - 0360-8352 .- 1879-0550. ; 63:1, s. 294-301
  • Tidskriftsartikel (refereegranskat)abstract
    • Virtual machine concepts supporting optimisation of machine tools have been developed in earlier work. The virtual machine concept is a tool that can describe the behaviour of a machine tool while considering the interaction between mechanics of the machines and the control system. Considerable amount of work has been done proving the concept and showing the potential of such a design tool in different contexts. Several studies have shown the potential of using the virtual machine concept, although, no work has been found that is exploring the potential of a full optimisation study. The aim of this work is to show the potential of the virtual machine concept in an optimisation study of the complete machine tool, including the mechanical system, parameters in the control system, the NC-code as well as choice of servo and drive systems. An efficient optimisation strategy is presented, making it possible to solve the complex optimisation problem within a reasonable amount of time. A combination of optimisation algorithms is used to achieve a fast and accurate way of solving the complex task to optimise the complete machine tool. Genetic algorithms, gradient based algorithms and more traditional hands on engineering are used for solving the optimisation problem. Post processing and data mining is suggested as a way of extracting as much information as possible from optimisation results with the aim to increase the knowledge about the studied system. An important conclusion is that the virtual machine should support the decision making in product development, not replace the product developers as regards decision making.
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13.
  • Frigstad, Lasse, et al. (författare)
  • Joint planning of drones and volunteers in emergency response to out-of-hospital cardiac arrest
  • 2023
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 185
  • Tidskriftsartikel (refereegranskat)abstract
    • Various initiatives are in place worldwide to reduce the time from the occurrence of an out-of-hospital cardiac arrest to the start of cardiopulmonary resuscitation (CPR) and defibrillation using an Automated External Defibrillator (AED). In addition to optimizing the management of emergency medical services and other professional emergency response resources, these include utilizing close-by volunteers using mobile phone dispatching, and delivering AEDs using Unmanned Aerial Vehicles (UAVs), commonly known as drones. The latter two examples have previously been studied separately, and it has been proved that the time to administer CPR and AED delivery can be reduced. In this paper, the potential of joint planning and dispatching of volunteers and AED delivering drones is investigated. Optimization models are used to determine good locations for drones. These are then evaluated, together with new, adapted dispatch strategies for the volunteers, using a simulation model. Results of a case study, with data for the county of Vastra Gotaland in Sweden, show that drones can indeed help reduce the time to defibrillation, and, by adaptive dispatching, the time to CPR can be reduced as well. Thus, it is shown that by joint planning of drones and volunteers, it may be possible to improve the survival probability from out-of-hospital cardiac arrest.
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14.
  • Ghane, Mostafa, et al. (författare)
  • TRIZ trend of engineering system evolution: A review on applications, benefits, challenges and enhancement with computer-aided aspects
  • 2022
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 174
  • Tidskriftsartikel (refereegranskat)abstract
    • Trend of Engineering system evolution (TESE) is a popular tool in the theory of inventive problem-solving (TRIZ). Because it is applicable in various domains, it has been extensively used in practical projects to develop engineering products and forecast new technologies. However, although its generic pattern makes it a versatile tool for inventing and discovering the next generation of engineering systems, the scope of its practical use in product innovation has yet to be critically explored. This includes the applicability of its trends and sub-trends, efficacy and benefits in product development, and challenges and limitations. Therefore, this review uses reliable and noteworthy studies to overview the use of TESE in science and explore the benefits and challenges associated with its practical use. TESE-based studies have been conducted to prove its usability in technological development and innovation. We recommend that TESE should be integrated with various computer-aided aspects, such as scientific information, patents, social networking, disruptive technologies, manufacturing, and robotics, to address existing limitations. In addition, this review validates that these five aspects have yet to be demonstrated cohesively. This review provides TESE practitioners with insights into the application of the trends and sub-trends of the TESE toolkit.
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15.
  • Gultekin, Beyza, et al. (författare)
  • The logistics service providers during the COVID-19 pandemic : The prominence and the cause-effect structure of uncertainties and risks
  • 2022
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 165
  • Tidskriftsartikel (refereegranskat)abstract
    • Uncertainties and risks play a central role in creating vulnerabilities for logistics service operations. Over the years, Logistic Service Providers (LSPs) have learned how to ensure resilience to confront uncertainties and risks triggered by adverse events. However, quite unlike any seen in recent times, the COVID-19 pandemic brings about unavoidable uncertainties and risks for the logistics industry. Yet, there is no common approach to contextualize how they interact together. We incorporate an empirical research design and make a threefold contribution: first, we identify uncertainties and risks that LSPs encounter during the COVID-19 pandemic and investigate their prominence. Second, we unveil intertwined schemes of afore-identified uncertainties and risks and augment the understanding of their cause-effect structure. Third, we provide an uncertainty and risk assessment guideline for LSPs affected by threats emerging from unforeseeable crises.In this study, we combine qualitative work and the fuzzy DEMATEL method. Qualitative thematic analysis of in-depth interviews reveals the most important uncertainties (COVID-19 measures, employee welfare, forecast horizon, demand change, and government regulations) and risks (COVID-19 risk, delivery delays, supply chain disruptions, financial failure, and product returns) for LSPs. The fuzzy DEMATEL method shows that COVID-19 measures and COVID-19 risk are highly prominent and influence other factors. The results indicate that demand change, government regulations, and supply chain disruptions are net causers, and employee welfare, financial failure, forecast horizon, delivery delays, and product returns are net receivers. Distinctly, employee welfare is the most affected factor, empirically confirming that major risks for LSPs are related to the human factor. More investigation in our results suggests that supply chain disruptions and demand change, two factors triggered by the COVID-19 pandemic, influence financial failure and forecast horizon, two factors associated with operational performance. 
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16.
  • Gustavsson, Emil, 1987, et al. (författare)
  • Preventive maintenance scheduling of multi-component systems with interval costs
  • 2014
  • Ingår i: Computers & industrial engineering. - : Elsevier BV. - 0360-8352. ; 76, s. 390-400
  • Tidskriftsartikel (refereegranskat)abstract
    • We introduce the preventive maintenance scheduling problem with interval costs (PMSPIC), which is to schedule preventive maintenance (PM) of the components of a system over a finite and discretized time horizon, given a common set-up cost and component costs dependent on the lengths of the maintenance intervals. We present a 0–1 integer linear programming (0–1 ILP) model for the PMSPIC; the model is identical to that presented by Joneja (1990) for the joint replenishment problem within inventory management. We study this model from a polyhedral and exact solutions’ point of view, as opposed to previously studied heuristics (e.g. Boctor, Laporte, & Renaud, 2004; Federgruen & Tzur, 1994; Levi, Roundy, & Shmoys, 2006; Joneja, 1990).We show that most of the integrality constraints can be relaxed and that the linear inequality constraints define facets of the convex hull of the feasible set. We further relate the PMSPIC to the opportunistic replacement problem, for which detailed polyhedral studies were performed by Almgren et al. (2012a). The PMSPIC can be used as a building block to model several types of maintenance planning problems possessing deterioration costs. By a careful modeling of these costs, a polyhedrally sound 0–1 ILP model is used to find optimal solutions to realistic-sized multi-component maintenance planning problems. The PMSPIC is thus easily extended by side constraints or to multiple tiers, which is demonstrated through three applications; these are chosen to span several levels of unmodeled randomness requiring fundamentally different maintenance policies, which are all handled by variations of our basic model. Our first application considers rail grinding. Rail cracks increase with increasing intervals between grinding occasions, implying that more grinding passes must be performed—thus generating higher costs. We optimize the grinding schedule for a set of track sections presuming a deterministic model for crack growth; hence, no corrective maintenance (CM) will occur between the grinding occasions scheduled. The second application concerns two approaches for scheduling component replacements in aircraft engines. The first approach is bi-objective, simultaneously minimizing the cost for the scheduled PM and the probability of unexpected stops. In the second approach the sum of costs for PM and expected CM—without rescheduling—is minimized. When rescheduling is allowed, the 0–1 ILP model is used as a policy by re-optimizing the schedule at a component failure, which then constitutes an opportunity for PM. The policy manages the trade-off between costs for PM and unplanned CM and is evaluated in a simulation of the engine. The third application considers components’ replacement in wind mills in a wind farm, extending the PMSPIC to comprise multiple tiers with joint set-up costs. Due to the large number of components unexpected stops occur frequently, thus calling for a dynamic rescheduling, which is evaluated through a simulation of the system. In each of the three applications, the use of the 0-1 ILP model is compared with age or constant-interval policies; the maintenance costs are reduced by up to 16% as compared with the respective best simple policy. The results are strongest for the first two applications, possessing low levels of unmodeled randomness.
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17.
  • Hamade, Ramsey F., et al. (författare)
  • Analyzing CAD competence with univariate and multivariate learning curve models
  • 2009
  • Ingår i: Computers & Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 56:4, s. 1510-1518
  • Tidskriftsartikel (refereegranskat)abstract
    • Understanding how learning occurs, and what improves or impedes the learning process is of importance to academicians and practitioners; however, empirical research on validating learning curves is sparse. This paper contributes to this line of research by collecting and analyzing CAD (computer-aided design) procedural and cognitive performance data for novice trainees during 16-weeks of training. The declarative performance is measured by time, and the procedural performance by the number of features used to construct a design part. These data were analyzed using declarative or procedural performance separately as predictors (univariate), or a combination of declarative or procedural predictors (multivariate). Furthermore, a method to separate the declarative and procedural components from learning curve data is suggested. (C) 2008 Elsevier Ltd. All rights reserved.
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18.
  • Hanson, Robin, 1981, et al. (författare)
  • Augmented reality as a means of conveying picking information in kit preparation for mixed-model assembly
  • 2017
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 113, s. 570-575
  • Tidskriftsartikel (refereegranskat)abstract
    • Kitting is a materials feeding principle that is increasingly common in mixed-model assembly. Currently, there is no consensus within industry regarding how picking information should best be conveyed to support kit preparation and research on the topic is scarce. The purpose of this paper is to determine whether information conveyance through augmented reality can be used to support time-efficient kit preparation, considering the two commonly applied approaches of single-kit preparation and batch preparation. The paper presents a novel application of augmented reality and tests it in a realistic laboratory experiment. As a basis for comparison, a traditional printed paper list is also tested. In the experiment, augmented reality is competitive both in terms of time-efficiency and picking accuracy, both for single kit and batch preparation, which indicates that augmented reality can constitute a viable option for conveying picking information in kit preparation. Especially for the batch preparation, where more information needs to be displayed, the augmented reality application is associated with considerably better performance than the paper list. The paper suggests that future research efforts should include studies on augmented reality applied in an actual industrial setting over a longer period.
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19.
  • Iranmanesh, Mohammad, et al. (författare)
  • Effects of supply chain transparency, alignment, adaptability, and agility on blockchain adoption in supply chain among SMEs
  • 2023
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 176
  • Tidskriftsartikel (refereegranskat)abstract
    • This study aims to investigate the extent to which the contributions of blockchain technology to supply chain parameters influence blockchain adoption among SMEs. Drawing on contingency theory, the study investigates the moderating effect of market turbulence. The data were collected from 204 SMEs in Malaysia’s manufacturing sector and analysed using the partial least squares technique. The results showed that the intention of SMEs’ managers to adopt blockchain is influenced by the contributions of blockchain to supply chain transparency and agility. Supply chain transparency, alignment, adaptability, and agility are interrelated. Market turbulence moderates positively the association between agility and intention to adopt blockchain. This study extends the literature by decomposing the concept of relative advantages and investigating the influences of blockchain benefits on blockchain adoption. The moderating effect of market turbulence indicates that the influence of blockchain on agility is more important for SMEs operating in a turbulent environment than the SMEs in a stable market. The findings help the policymakers and blockchain vendors in developing effective plans and strategies to speed up the adoption of blockchain among SMEs. Furthermore, the results give confidence to the managers and owners of SMEs that blockchain can be a valuable competitive advantage source.
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20.
  • Li, Dan, 1990, et al. (författare)
  • Exploration of Digitalized Presentation of Information for Operator 4.0 : Five Industrial Cases
  • 2022
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 168
  • Tidskriftsartikel (refereegranskat)abstract
    • In the digital transformation of manufacturing companies towards Industry 4.0, shop-floor operators of the future, Operator 4.0, will require digitalized presentation of information as cognitive support for their work. This paper explores five industrial cases where Information Support Technology have been conceptualized and developed. These cases have exemplified how digitalized presentation of information can be approached with considerations of operators with varying cognitive work situations and production characteristics. Furthermore, these new technical capabilities have increased the level of cognitive automation to support operators’ individual abilities to perform their work in an increasingly more complex production environment. In conclusion, Information Support Technology in the service of Operator 4.0 is intimately linked with digitalization strategies for transformation towards Industry 4.0.
  •  
21.
  • Li, Miao, et al. (författare)
  • Unmanned aerial vehicle scheduling problem for traffic monitoring
  • 2018
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 122, s. 15-23
  • Tidskriftsartikel (refereegranskat)abstract
    • For more accurate multiple-period real-time monitoring of road traffic, this paper investigates the unmanned aerial vehicle scheduling problem with uncertain demands. A mixed integer programming model is designed for this problem by combining the capacitated arc routing problem with the inventory routing problem. A local branching based solution method is developed to solve the model. A case study which applies this model to the road traffic in Shanghai is performed. In addition, numerical experiments are conducted to validate the effectiveness of the proposed model and the efficiency of the proposed solution method.
  •  
22.
  • Liu, Biyu, et al. (författare)
  • Maintenance service strategy for leased equipment : integrating lessor-preventive maintenance and lessee-careful protection efforts
  • 2021
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 156
  • Tidskriftsartikel (refereegranskat)abstract
    • Lessees may abuse equipment during the lease period since lacking of ownership, thereby increasing lessors’ repair cost and lessees’ downtime losses. This study integrates lessees’ effort to protect leased equipment during the lease period with lessors’ preventive maintenance (PM) into maintenance service strategies. It is proved in a non-cooperative game, neither party achieves the cooperative game’s ideal revenue, but improvement in the lessee’s effort level and lessor’s PM degree can increase the other party’s revenue. A cost-sharing contract model is designed to achieve the maximum revenue as in a cooperative game and ensure Pareto improvement of the leasing parties. In the contract, the lessor grants the lessee a rental discount, and the lessor’s PM cost and lessee’s effort cost are shared with cost-sharing coefficients. Conditions under which the ideal revenue and Pareto improvement can be achieved are discussed. Numerical examples are provided to illustrate the effects of contract parameters, unit penalty on the effort level, and revenue. Managerial insights are finally proposed for leasing parties. The results show: the effect of the effort level and PM degree on equipment failures is marginally diminishing; proposed cost-sharing contract model can achieve the ideal revenue and Pareto improvement; the rental discount has a greater impact on the lessee, while the cost-sharing coefficients have a greater impact on the lessor; and increasing the unit penalty decreases (increases) the lessor’s (lessee’s) revenue but maintains the effort level at constant.
  •  
23.
  • Liu, Lingdi, et al. (författare)
  • Leveraging digital capabilities toward a circular economy: Reinforcing sustainable supply chain management with Industry 4.0 technologies
  • 2023
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 178
  • Tidskriftsartikel (refereegranskat)abstract
    • Facing the challenges of globalisation and unpredictable shocks, manufacturers seek novel methods to maintain the sustainability of their supply chains. Adopting Industry 4.0 (I4.0) technologies facilitates sustainable supply chain management (SSCM) with the precise decision-making of supply chain activities and the realisation of circular development. However, according to the bibliometric analysis and systematic literature review of ar-ticles related to "SSCM", few frameworks with I4.0 technologies are found to empower SSCM under circular economy (CE) logic. Thus, this article proposes a conceptual framework of I4.0 technologies-embedded SSCM, which takes advantage of five kinds of emerging digital technologies, including cloud services, artificial intel-ligence (AI), big data analytics (BDA), blockchain technology (BT), and internet of things (IoT). The CAB2IN framework is based on the technologies mentioned above alongside the design, manufacturing, delivering, using, and end-of-life stages of products and services to meet the requirements of reducing material usage, remanu-facturing, reusing, and recycling. This papers contribution lies in indicating the trends of SSCM in the era of Industry 4.0 and proposing CAB2IN to creatively establish the virtual side of circular SSCM, which leverages the data generated in each stage to assist sustainable decision-making. CAB2IN illuminates several research di-rections for future studies of digitalised SSCM under the perspective of CE. The case of Company S illustrates the application of CAB2IN in the healthcare supply chain. This paper also summarises insightful directions of digi-talised SSCM under the proposed circular framework.
  •  
24.
  • Lu, Shaoping, et al. (författare)
  • A passive RFID tag-based locating and navigating approach for automated guided vehicle
  • 2018
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 125, s. 628-636
  • Tidskriftsartikel (refereegranskat)abstract
    • This research is motivated by the industrial applications of Cyber-physical System (CPS) such as smart warehouse and intelligent manufacturing which require the support of AGV (Automated Guided Vehicle). One of the key research is locating and navigating approach that should be with much flexibility for dealing with complex industrial applications. This paper takes a passive radio frequency identification (RFID) tag-based locating and navigating approach for AGV to examine the influences of tags, antennas, and environmental aspects. The approach was validated and a prototype system was built up. Several key observations are significant from the implementation and simulation study. Firstly, it is observed that adding angle reflector could eliminate the back lobe and restrain backward reflection. Secondly, RFID antenna center and the tag center should be designed at the same height could reduce the impact area of reflection. Lessons and insights from this study will be significant for industrial practitioners to implement AGVs in smart warehouse and manufacturing management.
  •  
25.
  • Mahdavi Mazdeh, Mohammad, et al. (författare)
  • A heuristic to solve the dynamic lot sizing problem with supplier selection and quantity discounts
  • 2015
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 85, s. 33-43
  • Tidskriftsartikel (refereegranskat)abstract
    • In the present study, the single-item dynamic lot sizing problem with supplier selection is investigated. The problem is broken down into two different cases. In the first case, quantity discounts are not taken into account; in the second case, incremental and all-unit quantity discounts are considered. Due to the complexity of the problems, a new heuristic is developed, which is based on the Fordyce-Webster Algorithm (Fordyce and Webster, 1984). In order to solve the problem where multiple suppliers are considered, a third dimension is added to the matrices used in the Fordyce-Webster Algorithm. The solutions gained using the proposed algorithm are similar to those of Parsa, Khiav, Mazdeh, and Mehrani (2013) in terms of accuracy and computational time. However, the implementation of matrices makes this method easy to explain in comparison with other heuristics developed for similar problems. (C) 2015 Elsevier Ltd. All rights reserved.
  •  
26.
  • Mahmoodi, Ehsan, et al. (författare)
  • The impact of Industry 4.0 on bottleneck analysis in production and manufacturing : Current trends and future perspectives
  • 2022
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 174
  • Forskningsöversikt (refereegranskat)abstract
    • Bottleneck analysis, known as one of the essential lean manufacturing concepts, has been extensively researched in the literature. Recently, there has been a move towards using new Industry 4.0-based concepts and technologies in the development of bottleneck analysis. However, the interrelations between bottleneck analysis and Industry 4.0 have not been studied thoroughly. The present study addresses this gap and performs a systematic literature review on articles available in major scientific databases (i.e., Web of Science and Scopus) to investigate the impact of Industry 4.0 on the advancement of bottleneck analysis in production and manufacturing. Bibliometric analysis and content review were performed to extract the quantitative and qualitative data. Results revealed that only five out of 15 design principles and five out of eleven technologies of Industry 4.0 were addressed previously in developing bottleneck analysis methods. In addition to highlighting the existing gaps in the literature and proposing topics for future research, several potential development streams are proposed by studying the design principles and technologies of Industry 4.0, which have not been considered in bottleneck analysis before.
  •  
27.
  • Matinrad, Niki, et al. (författare)
  • Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients
  • 2021
  • Ingår i: Computers & industrial engineering. - : Pergamon-Elsevier Science Ltd. - 0360-8352 .- 1879-0550. ; 159
  • Tidskriftsartikel (refereegranskat)abstract
    • In countries such as Sweden, Italy, Switzerland, and the Netherlands, projects in which volunteers are dispatched to out-of-hospital cardiac arrest (OHCA) patients with the use of mobile phones exist. Once an OHCA case is reported, a notification is sent to the mobile phones of registered volunteers that are in the vicinity of the patient. These projects mostly use static dispatch methods to determine which volunteers should be sent directly to the patient and which ones should pick up an automatic external defibrillator (AED). However, such schemes do not consider uncertainties associated with these task assignment decisions (e.g., if volunteers will do as instructed, or do something else). In this paper, we propose a method for optimized task assignment and dispatch of volunteers to OHCA patients that considers the uncertainty related to volunteers actions once assigned a task. We then compare the results of our method to those of a static dispatch method used in an ongoing mobile phone volunteer dispatch project in Sweden and validate them using simulation. Furthermore, we perform a sensitivity analysis on several parameters to investigate their effect on the performance of the proposed method. With the comparative results we show that the proposed method may help increase the survivability of OHCA patients.
  •  
28.
  • Mattsson, Sandra, 1984, et al. (författare)
  • Forming a cognitive automation strategy for Operator 4.0 in complex assembly
  • 2020
  • Ingår i: Computers and Industrial Engineering. - Science Direct : Elsevier BV. - 0360-8352 .- 1879-0550. ; 139
  • Tidskriftsartikel (refereegranskat)abstract
    • Due to today’s technological advances in the area of Industry 4.0, having a strategy for cognitive automation solutions is crucial. Operator 4.0, will have handle and manage different work tasks ranging from learning new tasks to solving difficult problems and initiate changes. To support the operator moving between these tasks a specific strategy for the design of cognitive automation solutions is needed. The suggested strategy has three steps: (1) select assembly modes, (2) choose level of cognitive automation carrier and (3) suggest cognitive automation content. It is important that the operator is part of the design and that the solution supports movement between the modes learning, operational and disruptive modes . The strategy could support manufacturing companies meeting challenges regarding social sustainability e.g. stress, attractive workplaces and demography changes as well as system transparency and complexity.
  •  
29.
  • Moencks, Mirco, et al. (författare)
  • Augmented Workforce Canvas: a management tool for guiding human-centric, value-driven human-technology integration in industry
  • 2022
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 163
  • Tidskriftsartikel (refereegranskat)abstract
    • The Fourth Industrial Revolution is transforming the roles of humans, technology and work in production systems. Although the level of automation on shop floors increases, it is not always feasible or effective to assign the execution of production tasks to autonomous systems. Where total automation is ineffective, new forms of Human-Technology Integration (HTI), Operator Assistance Systems (OAS) and Augmentation Technologies can empower the workforce and increase overall business productivity. OAS can be conceptualized as systems that interact with operators to augment their cognitive and physical capabilities whilst performing industrial work tasks, resulting in HTI. In order to achieve successful HTI, an organization must make appropriate strategic and operational decisions for its business environment while also effectively managing its operations. Identifying and executing effective managerial decisions and activities for HTI can be aided by using business support, i.e., management tools. However, in industry, the systematic guidance of practitioners in HTI activities remains challenging. This paper addresses the challenge of guiding practitioners in HTI by introducing the Augmented Workforce Canvas (Canvas). Developed through Procedural Action Research (PAR), the Canvas is a strategic technology management tool aimed at systematically guiding users through the complex transformation towards HTI and the future of work on the shop floor. The Canvas takes a value-driven, technology-neutral approach to HTI. The tool begins with an assessment by key stakeholder groups of the set of underlying problems and the required added value of the HTI. It can be used as a methodological framework for industrial researchers to identify their respective contributions to the overall context of HTI in industrial contexts. Building on 39 industry expert interviews, the Canvas was co-designed and developed in 13 workshop sessions, refined and tested in 12 working sessions by industry practitioners, and evaluated in three industry case studies. The Canvas contributes to the development of industrial human-technology systems by placing the value-added for production systems at the heart of management decisions.
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30.
  • Munir, Tahir, et al. (författare)
  • Effect of measurement uncertainty on combined quality control charts
  • 2023
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 175
  • Tidskriftsartikel (refereegranskat)abstract
    • The accuracy of the measurement system is vital for reliable process monitoring using statistical process control charts. The applied chart’s effectiveness depends on the measurement system's performance. Measurement uncertainty can lead to incorrect decisions like unnecessary stops or failure to intervene. In this paper, we investigated the effect of measurement errors on the performance of four well-established combined charts for monitoring the mean of normally distributed processes: Shewhart-CUSUM, Shewhart-Crosier’s CUSUM, Shewhart-EWMA and Shewhart-GWMA charts. To deal with measurement errors we considered the additive measurement error model. Detailed run length profiles of these charts are studied in terms of average run length (ARL), extra quadratic loss, relative ARL, and performance comparison index through Monte Carlo simulations under different sizes of measurement errors. It was found that measurement errors significantly reduce the power of the combined charts. Thus, multiple measurements scheme is incorporated as a remedy to this effect. The Shewhart-Crosier’s CUSUM performed best of four charts, while the Shewhart-EWMA chart did worst. To demonstrate the effect of measurement uncertainty and highlight implications further, a simulated dataset with a shift in the process mean is considered.
  •  
31.
  • Nilsson, Kristina, et al. (författare)
  • Corrections of costs to feasible solutions of economic lot scheduling problems
  • 2008
  • Ingår i: Computers & industrial engineering. - : Elsevier BV. - 0360-8352 .- 1879-0550. ; 54:1, s. 155-168
  • Tidskriftsartikel (refereegranskat)abstract
    • The paper considers the problem of choosing order quantities and a cyclic production pattern for several products that are produced in a common capacity constrained facility. The heuristic method from Segerstedt [Segerstedt, A. (1999). Lot sizes in a capacity constrained facility with available initial inventories. International Journal of Production Economics, 59, 469-475] is modified and improved. The method is compared with the heuristic technique according to Doll [Doll, C. L., & Whybark, D. C. (1973). An iterative procedure for the single-machine multi-product lot scheduling problem. Management Science, 20(1), 50-55; Goyal, S. K. (1975). Scheduling a single-machine multi-product system: A new approach. International Journal of Production Research, 13, 487-493]; the differences and similarities between the methods are illustrated in a common numerical example. It shows that feasible solutions can be found, both with our method and others; where the production can be scheduled during a time interval, the initial inventory level is the same as the final and the schedule can be repeated in a cyclic pattern without shortages. (This definition of feasibility differs from traditional.) However, it shows that the common approximation for the inventory holding costs [.....] does not fit. The real inventory holding cost becomes different compared to the approximated that is used in the calculations. The real inventory holding cost depends on the chosen scheduling, which makes it difficult to find an optimal solution. Different solutions and extensions are discussed.
  •  
32.
  • Nourmohammadi, Amir, et al. (författare)
  • Balancing and scheduling human-robot collaborated assembly lines with layout and objective consideration
  • 2024
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 187
  • Tidskriftsartikel (refereegranskat)abstract
    • The recent Industry 4.0 trend, followed by the technological advancement of collaborative robots, has urged many industries to shift towards new types of assembly lines with human-robot collaboration (HRC). This type of manufacturing line, in which human skill is supported by robot agility, demands an integrated balancing and scheduling of tasks and operators among the stations. This study attempts to deal with these joint problems in the straight and U-shaped assembly lines while considering different objectives, namely, the number of stations (Type-1), the cycle time (Type-2), and the cost of stations, operators, and robot energy consumption (Type-rw). The latter type often arises in the real world, where multiple types of humans and robots with different skills and energy levels can perform the assembly tasks collaboratively or in parallel at stations. Additionally, practical constraints, namely robot tool changes, zoning, and technological requirements, are considered in Type-rw. Accordingly, different mixed-integer linear programming (MILP) models for straight and U-shaped layouts are proposed with efficient lower and upper bounds for each objective. The computational results validate the efficiency of the proposed MILP model with bounded objectives while addressing an application case and different test problem sizes. In addition, the analysis of results shows that the U-shaped layout offers greater flexibility than the straight line, leading to more efficient solutions for JIT production, particularly in objective Type-2 followed by Type-rw and Type-1. Moreover, the U-shaped lines featuring a high HRC level can further enhance the achievement of desired objectives compared to the straight lines with no or limited HRC.
  •  
33.
  • Pehrsson, Leif, et al. (författare)
  • Industrial cost modelling and multi-objective optimisation for decision support in production systems development
  • 2013
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 66:4, s. 1036-1048
  • Tidskriftsartikel (refereegranskat)abstract
    • Recent developments in cost modelling, simulation-based multi-objective optimisation, and post-optimality analysis have enabled the integration of costing data and cost estimation into a new methodology for supporting economically sound decision-making in manufacturing enterprises. Within this methodology, the combination of production engineering and financial data with multi-objective optimisation and post-optimality analysis has been proven to provide the essential information to facilitate knowledge-driven decision-making in real-world production systems development. The focus of this paper is to present the incremental cost modelling technique specifically designed for the integration with discrete-event simulation models and multi-objective optimisation within this methodology. A complete example, using the simulation model and data modified from a previous real-world case study, is provided in this paper to illustrate how the methodology and cost modelling are applied for the optimal investment decision support.
  •  
34.
  • Pinzone, Marta, et al. (författare)
  • A framework for operative and social sustainability functionalities in Human- Centric Cyber-Physical Production Systems
  • 2020
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 139
  • Tidskriftsartikel (refereegranskat)abstract
    • In a near future where manufacturing companies are faced with the rapid technological developments of Cyber-Physical Systems (CPS) and Industry 4.0, a need arises to consider how this will affect human operators remaining as a vital and important resource in modern production systems. What will the implications of these orchestrated and ubiquitous technologies in production – a concept we call Cyber-Physical Production Systems (CPPS) – be on the health, learning and operative performance of human workers? This paper makes three main contributions to address the question. First, it synthesizes the diverse literature regarding CPS and social sustainability in production systems. Second, it conceptualizes a holistic framework, the CyFL Matrix, and outlines a guideline to analyze how the functionalities of a CPPS relate to operational and social sustainability-related performance impacts at different levels of analysis. Finally, it presents an industrial use case, which the CyFL Matrix and the related guidelines are applied to. In doing so, the study offers first support to researchers and managers of manufacturing companies willing to define suitable operational and social sustainability-related performances for Human-centric Cyber-Physical Production Systems of the future.
  •  
35.
  • Qin, Wei, et al. (författare)
  • A two-stage ant colony algorithm for hybrid flow shop scheduling with lot sizing and calendar constraints in printed circuit board assembly
  • 2019
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 138
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper investigates a multi-stage hybrid flow shop scheduling problem with challenging characteristics including lot sizing, calendar constraints and sequence-dependent setup times in a real-world printed circuit board (PCB) assembly shop. Besides, other characteristics such as unrelated parallel machines and stage skipping also complicate the problem. Such features make the scheduling problem very difficult to find an optimal or near optimal solution. To reduce the complexity of such a PCB scheduling problem, this study develops a hierarchical approach which decomposes the original problem into two highly coupled sub-problems including job sequencing and lot scheduling with lot sizing, and further proposes a two-stage ant colony algorithm with lot sizing to evolve best results in the makespan performance. Extensive computational experiments have been conducted to illustrate the superiority of the algorithm in terms of computational time and stability.
  •  
36.
  • Qiu, Rui, et al. (författare)
  • Pipeline pricing and logistics planning in the refined product supply chain based on fair profit distribution
  • 2023
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 175
  • Tidskriftsartikel (refereegranskat)abstract
    • The pipeline is an economical, safe and environmentally friendly way to deliver refined products, but the un-coordinated decisions of the pipeline carrier and the oil shipper can lead to low pipeline turnover and high cross -regional logistics costs. This paper intends to remedy this problem through pipeline pricing and logistics plan-ning. First, a framework is designed to coordinate the operational decisions of the pipeline carrier and the oil shipper. Then, a bi-level programming model is customized to characterize the decentralized decision-making process of both stakeholders, including pipeline pricing and logistics planning. The upper-level model maxi-mizes the transportation revenue of the pipeline carrier, and the lower-level model minimizes the logistics cost of the oil shipper. The model constraints supply and demand capacity, transportation capacity, transportation network structure and mass balance. Next, to realize the coordination of both stakeholders, a negotiation mechanism based on fair profit distribution is customized. Ultimately, the method is tested on a large-scale logistics system of refined products in China. The results reveal that: (1) the pipeline turnover is increased by 127 million ton-kilometers, (2) the economic benefits of both stakeholders are maximized with an increase of 13 million CNY, (3) a fairer profit distribution is provided compared with the centralized decision-making. It is proved that the proposed method has a satisfactory coordination effect on the pricing of the pipeline carrier and the logistics planning of the oil shipper.
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37.
  • Rezaei, Mahdieh, et al. (författare)
  • A bi-objective optimization framework for designing an efficient fuel supply chain network in post-earthquakes
  • 2020
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 147
  • Tidskriftsartikel (refereegranskat)abstract
    • Earthquakes are the most sudden and unpredictable natural disaster which can cause serious damages in terms of deaths, injuries, and property loss. When an earthquake occurs, it is very important to respond immediately to peoples' emergency needs through proper distribution of critical resources such as medical care, water, food, shelters, etc. Fuel is also one of the most critical needs which must be provided without delay to the population affected by the earthquake, especially the vulnerable children and elderly people. This paper develops a nonlinear bi-objective optimization framework for operating an efficient and effective fuel supply chain network in earthquake-hit areas. The objective functions include minimizing the penalties due to unsatisfied and/or lost fuel demands and minimizing the difference between the satisfied demands in different damaged areas. Some assumptions and constraints, such as the existence of multiple central depots, limited vehicle capacities, time available to respond to the incident, are also considered in the modeling. Two multi-objective evolutionary algorithms (MOEAs), including a non-dominated sorting genetic algorithm (NSGA-II) and a multi-objective particle swarm optimization (MOPSO), are proposed to solve the optimization problem. Since the performance of these algorithms is significantly dependent on their parameters, a Taguchi method is used to tune the algorithms' parameters. In addition, four performance metrics are defined to evaluate and compare the performance of the algorithms. A hypothetical earthquake with actual dimensions and realistic data in Yazd province of Iran is presented as a case study, and finally, helpful managerial insights are provided through conducting a sensitivity analysis.
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38.
  • Romero, David, et al. (författare)
  • The Operator 4.0: Towards socially sustainable factories of the future
  • 2020
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 139, s. 2-5
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Humans are all makers of a sort. The tools we operate constantly leverage our human capabilities and evolve over history to take advantage of any innovation or a new source of power that emerges. Human-Technology Symbiosis has always been the basis for leaps in human prosperity. As we are presently in the Fourth Industrial Revolution, or Industry 4.0, it is important to focus on challenges and opportunities of contemporary work-life. Here we find the worker, the operator, benefitting from cyber-physical systems technology, connectivity, and global information networks while retaining human strengths and weaknesses. This special issue will describe the implications of a new breed of the manufacturing worker, “The Operator 4.0”. The 13 contributions in this special issue will take us from the early anthropocentric organisational models to the emerging connected and cyber-physically enhanced “Operator 4.0” in highly dynamic work environments. Methods and tools for development and analysis of complex work will support the scholar or practitioner that would like to dig deeper into the future of the potential work-life of the Operator 4.0.
  •  
39.
  • Sabahno, Hamed, et al. (författare)
  • A new adaptive control chart for the simultaneous monitoring of the mean and variability of multivariate normal processes
  • 2021
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 151, s. 106524-106524
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper considers adaptive schemes for the simultaneous monitoring of the mean and variability of a multivariate normal quality characteristic. At first, we extend an already existing bivariate non-adaptive simultaneous control chart to a multivariate one. Then, we develop several adaptive schemes, which will cover both previously bivariate and newly multivariate charts. After having designed adaptive schemes for the multivariate chart, eight performance measures are computed based on the run length, time to signal, number of observations to signal and number of switches to signal and evaluated using a new Markov chain model. With the developed performance measures, non-adaptive and adaptive schemes under different mean, variability, simultaneous shift sizes, and different number of quality characteristics are compared. Our scheme is also compared to one of the best methods available in the literature. A numerical example is also provided in order to demonstrate how the adaptive scheme can be implemented in practice.
  •  
40.
  • Sabahno, Hamed, et al. (författare)
  • New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles
  • 2023
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 184
  • Tidskriftsartikel (refereegranskat)abstract
    • In this research, we develop three statistical based control charts: the Hotelling’s T2, MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio test) as well as three machine learning (ML) based control charts: the ANN (artificial neural network), SVR (support vector regression), and RFR (random forest regression), for monitoring generalized linear model (GLM) profiles. We train these ML models with two different training methods to get a linear (regression) output and then apply our classification technique to see if the process is in-control or out-of-control, at each sampling time. In addition to developing the FP (fixed parameters) schemes, for the first time in GLM profiles, we design an adaptive VP (variable parameters) scheme for each control chart as well to increase the charts’ sensitivity in detecting shifts. We develop some algorithms with which the values of the control chart parameters in both FP and VP schemes can be obtained. Then, we develop two algorithms to measure the charts’ performance in both FP and VP schemes, by using the run-length and time-to-signal based performance measures. This is also the first control chart-related research that develops an algorithm to compute the performance measures that applies to any VP adaptive control scheme. After designing the control charts as well as performance measures, we perform extensive simulation studies and evaluate and compare all our control charts under different shift sizes and scenarios, and in three different simulation environments. Finally, we present a numerical example regarding a drug dose-response study to show how the proposed control charts can be implemented in real practice.
  •  
41.
  • Salunkhe, Omkar, 1990, et al. (författare)
  • Specifying task allocation in automotive wire harness assembly stations for Human-Robot Collaboration
  • 2023
  • Ingår i: Computers and Industrial Engineering. - 0360-8352. ; 184
  • Tidskriftsartikel (refereegranskat)abstract
    • Wire harness assembly is normally a manual assembly process that poses ergonomic challenges. As a consequence of the rapidly expanding electrification of vehicles and transportation systems, the demand for wire harnesses can be expected to grow radically, further increasing assembly operator challenges. Thus, automating this assembly process is highly prioritised by production engineers. The rapid development of industrial robot technology has enabled more human-robot collaboration possibilities, simplifying the automation of wire harness process tasks. However, successful automation applications involving humans require efficient and safe allocation of tasks between humans and technology. Unfortunately, present assembly system design methods may be obsolete and insufficient in light of the capabilities of emerging automation technologies such as collaborative robots. This paper presents a design and specification methodology for human-centred manufacturing systems and focuses on collaborative assembly operations in complex production systems. A case study on human-robot collaboration provides an application example from a wire-harness collaborative assembly process. The proposed design methodology combines hierarchical task analysis with assessments of cognitive and physical Levels of Automation (LoAc and LoAp). The assessments are then followed by evaluations of the Levels of human-robot Collaboration (LoC) and the Levels of operator Skill requirements (LoSr) respectively. A task allocation matrix supports the identification of possible combinations of automation and collaboration solutions for a human-centred and collaborative wire harness assembly process. System designers and integrators may utilise the design and specification methodology to identify the potential and extent of human-robot collaboration in collaborative manufacturing assembly operations.
  •  
42.
  • Sassanelli, Claudio, et al. (författare)
  • The disruptive action of Industry 4.0 technologies cross-fertilizing Circular Economy throughout society
  • 2023
  • Ingår i: Computers & industrial engineering. - : PERGAMON-ELSEVIER SCIENCE LTD. - 0360-8352 .- 1879-0550. ; 183
  • Tidskriftsartikel (refereegranskat)abstract
    • The Industry 4.0 concept, invariably more intertwined with the Circular Economy paradigm, has been increasingly applied outside the manufacturing domain. As a side-effect, Industry 4.0 technologies are disruptively reshaping, under the threefold Triple Bottom Line perspective, supply chains and different contexts such as innovation management and societal development. The eleven papers published in this special issue aim at contributing to the emerging research stream about the sustainable development of I4.0-CE-driven supply chains. In particular, four main macro-topics emerged: (i) I4.0-driven Circular Supply Chains (CSCs); (ii) Life Cycle Information in CE ecosystems; (iii) Waste management process optimisation; (iv) Drivers, challenges, opportunities, and barriers for I4.0-CE-driven supply chains. In the studies included in this special issue collection, novel conceptual frameworks and methodologies are proposed, and some practical cases are also conducted, promoting relevant advances in the twofold field of I4.0-CE, triggering the green and digital twin transition towards a supply chain and social dimension. Nevertheless, the analysis of the papers constituting the special issue reveals promising research opportunities necessary to investigate and explore this emerging domain in its specific facets. More quantitative studies are needed to understand better the dynamics in CSC, CE ecosystems and Industrial Symbiosis networks. Finally, developing specialised circular and sustainable technologies based on intelligent architectures and adopting data-driven approaches could support the adoption of circular practices not only within the companies but also outside them in the CSC and social dimensions.
  •  
43.
  • Shahparvari, Shahrooz, et al. (författare)
  • Closing the Loop : Redesigning Sustainable Reverse Logistics Network in Uncertain Supply Chains
  • 2021
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 157
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper develops a robust stochastic optimization model for reverse logistics in closed-loop supply chains. By determining the optimal flow of products using a Chance Constrained Robust Stochastic Programming (CCRSP), it is highlighted how the number of plant openings is influenced by the changes in carbon credit price. To assess the model performance, a set of numerical experiments in different sizes are developed and conducted. The effectiveness of the results are then compared to a proposed Heuristic Hybrid Taguchi PSO (HTPSO) solution algorithm, which underlines the effectiveness of the model. A sensitivity analysis on the carbon emission rate is carried out which underlines the role of Carbon Tax Policy. Finally, a real-lifecase study within the automotive manufacturing industry is carried out by applying the developed robust stochastic model. From a practical standpoint, the model can potentially be employed to meet the carbon credits that are used for handling the different carbon prices and trade scenarios. Also, it provides insights on how tobetter manage uncertainties, as well as to reduce the overall emissions in supply chains.
  •  
44.
  • Shang, Pan, et al. (författare)
  • Solving school bus routing problem with mixed-load allowance for multiple schools
  • 2021
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 151
  • Tidskriftsartikel (refereegranskat)abstract
    • The school bus routing problem (SBRP) is a challenging real-world problem that affects many citizens on a daily basis. This study considers several important classes of practical requirements for SBRP that include multiple schools, mixed-loads for students boarding the same bus but from different stops and commuting to different schools, heterogeneous fleets, various student-pickup time windows, and school-bell-ring constraints. Accordingly, a time-discretized multi-commodity network flow model is proposed based on a student-loading state-oriented space-time network. To enable optimization of both the student-bus assignment and bus routing, we introduce an extended-state dimension to represent the number of students commuting to different schools by buses. By implementing an augmented Lagrangian relaxation approach, the primal SBRP is reformulated as a quadratic 0–1 programming model with linear flow balance constraints. Furthermore, the augmented Lagrangian model can be decomposed and linearized as a series of linear multi-commodity network flow sub-problems that can be successively solved using dynamic programming algorithms in a cyclic block coordinate descent framework. The proposed model and approach to the solution are implemented on a nine-node test network, a Sioux Falls network under different scenarios, and a large-scale Chicago sketch network.
  •  
45.
  • Sikström, Sverker, et al. (författare)
  • The Depletion, Power, Integration, Latency (DPIL) Model of Spaced and Massed Repetition
  • 2012
  • Ingår i: Computers & Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 63:1, s. 323-337
  • Tidskriftsartikel (refereegranskat)abstract
    • Although several models have been suggested in the literature to describe the relationship between learning and forgetting, this relationship is still not fully understood. This paper proposes the Depletion-Power-Integration-Latency (DPIL) model, which assumes that performing a task repetitively depletes the available encoding resources for that task. The DPIL model fitted five empirical datasets well, reflecting different procedural/episodic learning settings, experimental paradigms (massed/spaced repetition, study time), tests (accuracy, latency), and retention intervals. The model was also fitted to empirical data collected from a quality inspection station at an industrial firm. The DPIL model has the advantage of predicting the length of the final break (interruption) that optimizes performance. This finding is important as it has many industrial engineering applications. The numerical results in this paper show that performance improves as the length of each break preceding the final break increases. This is consistent with empirical findings that moderately short breaks are optimal for performance.
  •  
46.
  • Soleimani, Hamed, et al. (författare)
  • Fuzzy Multi-Objective Sustainable and Green Closed-Loop Supply Chain Network Design
  • 2017
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 109, s. 191-203
  • Tidskriftsartikel (refereegranskat)abstract
    • This article addresses a design problem of a closed loop supply chain, including suppliers, manufacturers, distribution centers, customers, warehouse centers, return centers, and recycling centers. The problem entails three choices regarding recycling, namely, product recycling, and components recycling raw material recycling. Modeling this chain is carried out by accounting for environmental considerations, total profit optimization, and reduction of lost working days due to occupational accidents, we well as maximizing responsiveness to customer demand. In order to solve the model, genetic algorithm has been used and multiple scenarios with different aspects have been studied. Solving this model provides decisions regarding opening or closing of each of the components of the network and the optimal product flow among them. The results prove the feasibility of the presented model and the applicability of the developed solution methodology.
  •  
47.
  • Song, Wenyan, et al. (författare)
  • Service conflict identification and resolution for design of product-service offerings
  • 2016
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 98, s. 91-101
  • Tidskriftsartikel (refereegranskat)abstract
    • Many manufacturers today are striving to provide high value-addedproduct-service offerings (PSO) to their customers. PSO has heterogonous structureand various requirements, which may lead to technical attributes' conflicts during thedesign process. The conflicts will lead to the difficulty of concept generation, increaseof service delivery failure, and eventually the decrease of customer satisfaction.However, the conflicts in PSO design areas are more intangible and harder toformulate. Moreover, those conflicts are often resolved with trial and error methods inad hoc processes, which largely depend on the designer’s intuition. Thus, in this paper,the authors propose a systematic method to identify PSO design conflicts and resolvethem. The proposed method is based on the approach of service function andattributes analysis, group decision making with unbalanced linguistic label set andTRIZ methodology. In addition, a case study of design conflict identification andresolution for elevator service reveals the feasibility and potentials of the proposedmethod.
  •  
48.
  • Subramaniyan, Mukund, 1989, et al. (författare)
  • A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
  • 2018
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 125, s. 533-544
  • Tidskriftsartikel (refereegranskat)abstract
    • Smart manufacturing is reshaping the manufacturing industry by boosting the integration of information and communication technologies and manufacturing process. As a result, manufacturing companies generate large volumes of machine data which can be potentially used to make data-driven operational decisions using informative computerized algorithms. In the manufacturing domain, it is well-known that the productivity of a production line is constrained by throughput bottlenecks. The operational dynamics of the production system causes the bottlenecks to shift among the production resources between the production runs. Therefore, prediction of the throughput bottlenecks of future production runs allows the production and maintenance engineers to proactively plan for resources to effectively manage the bottlenecks and achieve higher throughput. This paper proposes an active period based data-driven algorithm to predict throughput bottlenecks in the production system for the future production run from the large sets of machine data. To facilitate the prediction, we employ an auto-regressive integrated moving average (ARIMA) method to predict the active periods of the machine. The novelty of the work is the integration of ARIMA methodology with the data-driven active period technique to develop a bottleneck prediction algorithm. The proposed prediction algorithm is tested on real-world production data from an automotive production line. The bottleneck prediction algorithm is evaluated by treating it as a binary classifier problem and adapted the appropriate evaluation metrics. Furthermore, an attempt is made to determine the amount of past data needed for better forecasting the active periods.
  •  
49.
  • Subramaniyan, Mukund, 1989, et al. (författare)
  • A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
  • 2020
  • Ingår i: Computers and Industrial Engineering. - : Elsevier BV. - 0360-8352. ; 150
  • Tidskriftsartikel (refereegranskat)abstract
    • Prioritising maintenance activities in throughput bottlenecks increases the throughput from the production system. To facilitate the planning and execution of maintenance activities, throughput bottlenecks in the production system must be identified and diagnosed. Various research efforts have developed data-driven approaches using real-time machine data to identify throughput bottlenecks in the system. However, these efforts have mainly focused on identifying bottlenecks and only offer limited maintenance-related diagnostics for them. Moreover, these research efforts have been proposed from an academic perspective using rigorous scientific methods. A number of challenges must be addressed, if existing data-driven approaches are to be adapted to real-world practice. These include identifying relevant data types, data pre-processing and data modelling. Such challenges can be better addressed by including maintenance-practitioner input when developing data-driven approaches. The aim of this paper is therefore to demonstrate a data-driven approach to diagnosing throughput bottlenecks, using the combined knowledge of the maintenance and data-science domains. Diagnostic insights into throughput bottlenecks are obtained using unsupervised machine-learning techniques. The demonstration uses real-world machine datasets extracted from the production line. The novelty of the research presented in this paper is that it shows how inputs from maintenance practitioners can be used to develop data-driven approaches for diagnosing throughput bottlenecks having more practical relevance. By gaining these diagnostic insights, maintenance practitioners can better understand shop-floor throughput bottleneck behaviours from a maintenance perspective and thus prioritise various maintenance actions.
  •  
50.
  • Syberfeldt, Anna, et al. (författare)
  • A web-based platform for the simulation-optimization of industrial problems
  • 2013
  • Ingår i: Computers & industrial engineering. - : Elsevier. - 0360-8352 .- 1879-0550. ; 64:4, s. 987-998
  • Tidskriftsartikel (refereegranskat)abstract
    • This study presents a platform for industrial, real-world simulation-optimization based on web techniques. The design of the platform is intended to be generic and thereby make it possible to apply the platform in various problem domains. In the implementation of the platform, modern web techniques, such as Ajax, JavaScript, GWT, and ProtoBuf, are used. The platform is tested and evaluated on a real industrial problem of production optimization at Volvo Aero Corporation, a company that develops and manufactures high-technology components for aircraft and gas turbine engines. The results of the evaluation show that while the platform has several benefits, implementing a web-based system is not completely straightforward. At the end of the paper, possible pitfalls are discussed and some recommendations for future implementations are outlined.
  •  
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