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Enumeration	Reference	Cover	Find
1.	Adamson, Göran, 1958-, et al. (author) Feature-based Function Block Control Framework for Manufacturing Equipment in Cloud Environments 2018 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 57:12, s. 3954-3974 Journal article (peer-reviewed)abstract The ability to adaptively control manufacturing equipment in cloud environments is becoming increasingly more important. Industry 4.0, supported by Cyber Physical Systems and the concept of on-demand, scalable and pay-for-usage resource-sharing in cloud environments offers many promises regarding effective and flexible manufacturing. For implementing the concept of manufacturing services in a cloud environment, a cloud control approach for the sharing and control of networked manufacturing resources is required. This paper presents a cloud service-based control approach which has a product perspective and builds on the combination of event-driven IEC 61499 Function Blocks and product manufacturing features. Distributed control is realised through the use of a networked control structure of such Function Blocks as decision modules, enabling an adaptive run-time behaviour. The control approach has been developed and implemented as prototype systems for both local and distributed manufacturing scenarios, in both real and virtual applications. An application scenario is presented to demonstrate the applicability of the control approach. In this scenario, Assembly Feature-Function Blocks for adaptive control of robotic assembly tasks have been used.
2.	Angelis, Jannis, et al. (author) Product service transitions in reverse 2017 In: International Journal of Production Research. - 0020-7543 .- 1366-588X. Journal article (peer-reviewed)
3.	Bianchi, Mattia, et al. (author) Developing software beyond customer needs and plans: an exploratory study of its forms and individual-level drivers 2019 In: International Journal of Production Research. - : Taylor & Francis: STM, Behavioural Science and Public Health Titles. - 1366-588X .- 0020-7543. ; 57:12, s. 7189-7208 Journal article (peer-reviewed)abstract Excessive software development is the tendency to develop new software above and beyond the requirements of the market and/or planned specifications. It is a widespread phenomenon involving both risks and flexibility advantages. As it represents a challenging dilemma for software developers, it is important to study its human origins. Drawing on the tripartite model of individual attitudes, this study investigates the influence of developers’s cognitive (intuitive and rational thinking styles), affective (emotional attachment) and behavioural (reliance on past experiences) traits on two forms of excess, beyond needs and beyond plans. Using survey data on 307 software developers, this study shows that different manifestations of excess are associated with distinct traits of software developers. Emotional attachment drives beyond needs excess. A positive (negative) association is found between relying on past experiences and beyond needs excess (beyond plans excess). An intuitive cognitive style fosters the inclusion of extra features in the new product scope, whereas a rational style might lead to developing one-size-fits-all software that targets the needs of a broad user base. These findings contribute to research on the development of digital new products and production technologies by offering a comprehensive yet fine-grained picture of excessive software development’s nature and drivers.
4.	Falck, Ann-Christine, 1949, et al. (author) Assessment of manual assembly complexity: a theoretical and empirical comparison of two methods 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 55:24, s. 7237-7250 Journal article (peer-reviewed)abstract There are several theoretical methods for assessment of assembly complexity but there are few practically applicable methods. One of the methods, CompleXity Index (CXI), aims at assessing operators´ perception of manual assembly complexity in running production. Another recently developed method, Basic Assembly Complexity (CXB) is intended for predictive assessment of basic manual assembly complexity in early product and production development. Both CXI and CXB aim to improve assembly conditions for operators, reduce assembly-related errors and the costs for corrective measures as well as increase assembly quality although in different ways and at different organizational levels and life cycle stages. The purpose of this study was to compare the two methods to obtain feedback and learn from operators experience in order to develop better predictive assessment criteria. The method comparison showed that about 50% of the CXB assessment approaches were similar to CXI but other covered different aspects. In comparison of the complexity values of the methods no significant results were obtained. However, some CXI issues that were not taken into account in CXB should be considered. CXB and CXI could be used in conjunction but further assessment criteria are probably needed.
5.	Falck, Ann-Christine, 1949, et al. (author) Proactive assessment of basic complexity in manual assembly: development of a tool to predict and control operator-induced quality errors 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 55:15, s. 4248-4260 Journal article (peer-reviewed)abstract A major challenge for manufacturing companies today is to manage a huge amount of product variants and build options at the same time in manufacturing engineering and in production. The overall complexity and risk of quality errors in manual assembly will increase placing high demands on the operators who must manage many different tasks in current production. Therefore methods for decreasing and controlling assembly complexity are urgent because managing complex product and installation conditions will result in distinct competitive advantages. The objective of this paper is to present a method for predictive assessment of basic manual assembly complexity and explain how included complexity criteria were arrived at. The verified method includes sixteen high complexity and sixteen low complexity criteria to aid designers in preventing costly errors during assembly and create good basic assembly conditions in early design phases of new manufacturing concepts
6.	Fargnoli, Mario, et al. (author) PSS Modularization : A Customer Driven Integrated Approach 2019 In: International Journal of Production Research. - : Taylor & Francis Group. - 0020-7543 .- 1366-588X. ; 57:13, s. 4061-4077 Journal article (peer-reviewed)abstract The shift from product ownership to integrated solutions (Product-Service Systems (PSSs)) is expected to lead to a highercustomer satisfaction in many cases compared to providing products and services separately. PSS providers are requiredto add more value to the products they offer, as well as to augment and diversify the services related to these products.To deal with this complex task, this paper proposes a practical methodology to support manufacturers in designingservices related to the proper functioning of their products fulfilling customers’ needs and expectations. This approach isbased on the synergic use of Quality Function Deployment for PSS (QFDforPSS), Axiomatic Design (AD) and theservice blueprint tools, providing a correlation between the customers’ expectations, the PSS components and the PSSmodules. The methodology was verified by means of a service modularisation for PSS at a company operating in thebiomedical sector. While the proposed approach needs to be validated through further studies in different contexts, itspositive results in reducing both the risk of overdesigning and the possibility of creating design conflicts can contributepractically to the scientific knowledge on the development of integrated solutions.
7.	Grubbström, Robert W (author) Risk preference evaluation - a fourth dimension of the application of the Laplace transform 2018 In: International Journal of Production Research. - : TAYLOR & FRANCIS LTD. - 0020-7543 .- 1366-588X. ; 56:1-2, s. 344-373 Journal article (peer-reviewed)abstract In this paper, we apply the Laplace transform to risk preference theory (decision theory, decision analysis). We show that with a constant measure of absolute risk aversion, the certainty monetary equivalent (CME) can be developed into an expression involving the logarithm of the bilateral Laplace transform of the probability density of the outcome of risky projects. We also introduce a measure named internal risk aversion (IRA). This is in analogy with the earlier application of the transform to net present value problems. Properties of the CME function are examined. Basic examples of application are introduced followed by applications to portfolio theory and option pricing.
8.	Hanson, Robin, 1981, et al. (author) Man-hour efficiency of manual kit preparation in the materials supply to mass-customised assembly 2019 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 57:11, s. 3735-3747 Journal article (peer-reviewed)abstract © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Addressing the materials feeding principle of kitting, commonly applied in the materials supply to mass-customised assembly, the current paper has the purpose of exploring how the man-hour efficiency of kit preparation is affected by the design and the context of the kit preparation. The study presented in the paper is based on a comprehensive methodology, comprising several steps and considering a large set of qualitative as well as quantitative data from 15 case studies. It also utilises the expertise of practitioners from the industry. The paper provides a valuable addition to the existing literature where empirical evidence is scarce. From a practical perspective, it offers support to the design of man-hour efficient kit preparation systems. The findings show that the design and the context of the kit preparation system can have a decisive, yet complex, impact on the man-hour efficiency and, thereby, on an assessment of the applicability of kitting. The paper identifies several important aspects of both design and context and indicates how these aspects are linked to the man-hour efficiency of kit preparation.
9.	Hanson, Robin, 1981, et al. (author) Time efficiency and physical workload in manual picking from large containers 2018 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 56:3, s. 1109-1117 Journal article (peer-reviewed)abstract A common task in both trade and manufacturing, manual picking from large containers often involves considerable physical workload, as well as low efﬁciency and varying picking times. With quantitative evidence from an industrial setting, the paper provides detailed insights into how physical workload and picking time vary in picking from large containers. Components at a short horizontal distance from the picker and at the top instead of the bottom of the pallet are associated with shorter picking time and lower physical workload. Moreover, pallets tilted 45° towards the picker are associated with picking times that are signiﬁcantly shorter on average and display smaller variations than horizontal pallets. The effects that the tilting of the pallets has on physical workload differs depending on component characteristics and from which section of the containers picking was performed. In the study, the greatest values of physical workload were observed for the tilted pallets.
10.	Hnaien, Faicel, et al. (author) Single-period inventory model for one-level assembly system with stochastic lead times and demand 2016 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 54:1, s. 186-203 Journal article (peer-reviewed)abstract Replenishment planning of an assembly system with one type of finished product assembled from diverse external suppliers to satisfy finished product demand. It is supposed that the component lead times and finished product demand are random discrete variables. The assembly company must determine what are the best quantities of components and when is the right time to order. The objective is to minimise the total cost which is composed of holding component costs, tardiness penalties, lost sales and surplus item costs for finished products. A single-period analytical model is proposed. Several properties of the objective function are proven. They are used to develop a Branch and Bound algorithm. Numerical tests for the algorithm are presented. Five heuristics based on Newsvendor model for lead time and demand are proposed and compared with the Branch and Bound algorithm. These tests show that the suggested Branch and Bound algorithm can solve large size problems within a short time. The proposed heuristics but one are not competitive with the Branch and Bound algorithm. The truncated version of Branch and Bound gives better results. The model suggested is better adapted to actual contract assembler environments, more realistic and can better approximate real-life industrial situations. The proposed exact algorithm provides optimal solutions for all discrete distributions of probabilities of lead times and demand. A new general approach to design such discrete optimisation algorithms is presented.
11.	Jaldell, Henrik, 1968- (author) Measuring Productive Performance Using Binary And Ordinal Output Variables : The Case of the Swedish Fire and Rescue Services 2019 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 57:3, s. 907-917 Journal article (peer-reviewed)abstract Fire protection is an example of a complex production process. This study measures efficiency by constructing binary and ordinal output variables from information on residential fires in Sweden about how a fire spreads from when the fire and rescue brigade arrives to when a fire is suppressed. The motivations behind this study are that there are only a few studies trying to estimate production efficiency for fire and rescue services, that data on a more detailed level is interesting for some public services, and there is a need to be able to measure efficiency differences even if only a binary or ordinal output variable is available. Using a logit random parameter model, the random effects are interpreted as efficiency differences. The conclusions are that fire and rescue services with a more flexible fire organisation with first response persons, working in collaboration with other municipalities and with larger populations are more efficient.
12.	Johansson, Björn, 1975, et al. (author) Power Level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation 2015 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 53:23, s. 7060-7070 Journal article (peer-reviewed)abstract An extension to the application area for discrete event simulation (DES) has been ongoing since the last decade and focused only on economic aspects to include ecologic sustainability. With this new focus, additional input parameters, such as electrical power consumption of machines, are needed. This paper aim at investigating how NC machine power consumption should be represented in simulation models of factories. The study includes data-sets from three different factories. One factory producing truck engine blocks, one producing brake disc parts for cars and one producing forklift components. The total number of data points analysed are more than 2,45,000, where of over 1,11,000 on busy state for 11 NC machines. The low variability between busy cycles indicates that statistical representations are not adding significant variability. Furthermore, results show that non-value-added activities cause a substantial amount of the total energy consumption, which can be reduced by optimising the production flow using dynamic simulations such as DES.
13.	Johansson, Peter, et al. (author) Conceptions and operational use of value and waste in lean manufacturing - an interpretivist approach 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 55:23, s. 6903-6915 Journal article (peer-reviewed)abstract In this article, we explore how the key concepts of lean manufacturing, value, value adding and waste are conceived and operationally used by Lean trainers in operational work processes. A comparative case study with a mixed method approach, using an explanatory sequential design, was conducted. This means that a set of quantitative data were collected, which was followed by the collection of qualitative data with the purpose of explaining and understanding the quantitative measures. An interpretivist approach is used as a framework, which implies a perspective on contemporary operations management paradigms, such as lean manufacturing, as a continuous construction of inter-subjective experiences. What becomes evident in the empirical findings is that there are both similarities and differences in the Lean trainers conceptions and use of value adding and waste. The similarities and differences can be explained by variations in two dimensions: (a) the character of the work process, which ranges between mechanical and craftsmanship, and (b) Lean trainers approach to key concepts, which ranges between being rule-based and reflective. By using a research design where the concepts of value adding and waste were used simultaneously, and adopting an interpretivist approach on lean manufacturing, we were able to reveal conditions that in other cases remain hidden.
14.	Karlsson, Anna, et al. (author) Product-Service System Innovation Capabilities : Linkages between the Fuzzy Front End and subsequent development phases 2018 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 56:6, s. 2218-2232 Journal article (peer-reviewed)abstract In an attempt to remain competitive, manufacturers increasingly offer integrated product-service systems (PSSs). This transition from physical products to PSSs calls for new ways of working, for example in the product development process. However, so far only limited attention has been put on capabilities needed to succeed with PSS innovation in the very early development phases – often referred to as the fuzzy front end (FFE). This article, therefore, has a dual aim: first, to further our understanding of capabilities for PSS innovation in the FFE, and second, to determine how these capabilities are linked to PSS innovation capabilities needed in subsequent development phases. Empirical data were collected from an ongoing industrial project developing an innovative PSS offering in a large manufacturing company. Individuals connected to the project reported major challenges, both experienced in the FFE and anticipated in later phases, which provided valuable information regarding capabilities needed to succeed with the endeavour. Findings reveal four links of PSS innovation capabilities: (1) adapting vocabulary and mental models to PSS, (2) handling the ‘intangible aspect’, (3) bridging organisational structures, and (4) managing new business models. PSS innovation capabilities in the FFE are also found to be of higher order (dynamic) compared to capabilities in later development phases
15.	Lindskog, Erik, 1988, et al. (author) Production system redesign using realistic visualisation 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 55:3, s. 858-869 Journal article (peer-reviewed)abstract The process of redesigning production systems is usually complex, for which virtual design tools are available. These tools are used to analyse and evaluate planned changes prior to implementation, making it possible to identify and prevent costly design mistakes. Despite this, design mistakes arise during and after the implementation. A source for design mistakes is incorrect or insufficient spatial data of the production systems used in the virtual design tools. The aim of this paper is to show how to reduce the time required for planning and implementing the redesign by supporting the process with realistic visualisation, created from accurate spatial data of the real production systems. Three industrial studies were carried out to evaluate how address realistic visualisation in order to support the redesign process. The result shows terrestrial 3D laser scanning to be suitable for capturing spatial data for realistic visualisation of production systems. The realistic visualisation can be used to virtually analyse design alternatives of the production systems, by, for example, combining the 3D laser scan data with 3D CAD models. The realistic visualisation enabling effective and accurate planning, which gives the opportunity to reduce the time required for planning and implementing redesigned production systems.
16.	Liu, Biyu, et al. (author) Effects of carbon emission regulations on remanufacturing decisions with limited information of demand distribution 2015 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 53:2, s. 532-548 Journal article (peer-reviewed)abstract Policy-makers are developing regulation policies to drive down carbon emissions from industries. Independent remanufacturers (IRs), which remanufacture recycled products/components/parts, must manage and evaluate economic costs generated by the production under future carbon emission regulations. We present three optimisation models to determine the remanufacturing quantity that maximises the total profits under three common carbon emission regulation policies: (a) mandatory carbon emissions capacity, (b) carbon tax and (c) cap and trade. These models include sales revenue, remanufacturing cost, disposal cost, inventory holding cost, shortage cost and carbon emission cost. The max–min approach is used to solve the models, which assume limited information on demand distribution. We investigate how the three regulation policies affect remanufacturing decision-making for IRs and we also solve some numerical examples where we vary the magnitudes of incentives, penalties and stringency of constraints to provide implications to policy-makers. The results indicate that remanufacturers should aim to improve yield rate to maximise the profit irrespective of the implemented carbon emissions policy. Policy-makers should prefer the carbon tax policy, if any of the other two policies must be performed, a remanufacturing discount such as a higher carbon emission cap or lower penalty should be implemented to better promote the development of remanufacturers.
17.	Liu, Shudong, et al. (author) An Efficient Inventory Rationing Strategy for Systems with Two Demand Classes and Backordering 2015 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 53:20, s. 6136-6142 Journal article (peer-reviewed)abstract For systems with two customer classes and backordering, the formulae for the optimal dynamic critical levels in the literature are too complex to be extended to large values of critical levels. In this paper, an efficient method is introduced to obtain approximate closed-form expressions for the dynamic critical levels, even for large values. It is further verified by numerical results the accuracy of the approximate expressions, from which important managerial insights can be obtained.
18.	Liu, Yang, et al. (author) Evaluating and developing resource-based operations strategy for competitive advantage : an exploratory study of Finnish high-tech manufacturing industries 2015 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 53:4, s. 1019-1037 Journal article (peer-reviewed)abstract Firms are struggling to achieve and maintain the competitive advantage in todayâ€™s turbulent business environment. How can we evaluate and (re)develop strategic initiatives that put into place operational capabilities to provide new sources of firm-level competitive advantage? This paper tries to explore the practical intersection of operations management and strategy from resource-based view by evaluating and developing the sustainability level of operational competitive advantage, that how well the resource-based strategy can support its operations. It develops a theoretical approach to integrate the core factors, which determine operational competitiveness performance â€“ manufacturing strategy and its supporting resource allocation, into conceptual analytical models. The models utilise sense and respond (S&R) methodology for dynamic decision-making to detect and adjust resource allocation and in turn optimise the resource-based strategy in order to develop the operational competitive advantage in a sustainable manner. Eighteen case companies in Finnish high-tech manufacturing industries are selected for in-depth study and analysis with proposed models to conclude how the optimal adjustments of resource-based strategy by supporting its operations can lead to sustainable competitive advantage (SCA). Constantly optimising resource allocation aligning with resource-based operations strategy supported by the S&R idea of agile strategy implementations is proposed as the unique SCA.
19.	Liu, Yongkui, et al. (author) Scheduling in cloud manufacturing : state-of-the-art and research challenges 2019 In: International Journal of Production Research. - : TAYLOR & FRANCIS LTD. - 0020-7543 .- 1366-588X. ; 57:15-16, s. 4854-4879 Research review (peer-reviewed)abstract For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand manufacturing services to consumers over the Internet. Scheduling is one of the critical means for achieving the aim of cloud manufacturing. Thus far, about 158 articles have been published on scheduling in cloud manufacturing. However, research on scheduling in cloud manufacturing faces numerous challenges. Thus, there is an urgent need to ascertain the current status and identify issues and challenges to be addressed in the future. Covering articles published on the subject over the past eight years, this article aims to provide a state-of-the-art literature survey on scheduling issues in cloud manufacturing. A detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier's Scopus abstract and citation database. Typical characteristics of scheduling issues in cloud manufacturing are systematically summarised. A comparative analysis of scheduling issues in cloud manufacturing and other scheduling issues such as cloud computing scheduling, workshop scheduling and supply chain scheduling is also carried out. Finally, future research issues and challenges are identified.
20.	Ma, Ke, et al. (author) What modelling research on supply chain collaboration informs us? Identifying key themes and future directions through a literature review 2018 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. Journal article (peer-reviewed)abstract Although research regarding supply chain collaboration has been increasing, studies reviewing supply chain collaboration remains limited. This review paper categorises supply chain collaboration and identifies different themes in this research field. Articles were collected based on a designed keywords list and specific subject restrictions in citation databases. Text-mining technology and conceptual criteria were used to categorise and screen articles into different categories. Finally, cluster analysis was used to group articles and identify emerging themes. From the year 1999 to 2017, a total of 678 articles regarding supply chain collaboration were found. These were sorted into six categories: levels of collaboration, industries, supply chain stages, company scales, forms/methods of collaboration and typology of article, and into corresponding sub-categories. 380 articles employing modelling approach where collaboration forms the core of analysis were screened for hierarchical cluster analysis, resulting in four clusters: information sharing paradigm, joint decision-making paradigm, resource sharing paradigm and coordinating contract paradigm. Eleven themes were finally identified based on the four clusters. The number of articles in the field of supply chain collaboration shows an increasing trend by year. However, most of the collaborations discussed were still at a low level. It is expected to explore a higher level of collaborations and related themes in future research.
21.	Marti Bigorra, Anna, et al. (author) Combining customer needs and the customer’s way of using the product to set customer-focused targets in the House of Quality 2017 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 55:8, s. 2320-2335 Journal article (peer-reviewed)abstract An increasing number of products are equipped with software and sensors. This suggests that, in order to deliver more customised performance, future products will be developed to accommodate systems that supply information on how these products are used. Today, information on the customer’s way of using a product is seldom factored into product design, but the opportunities for making use of it are increasing dramatically due to the amount of available data that can be logged. The proposed methodology is to formulate Customer Needs at a detailed level to be able to link customer satisfaction with a clear interface to the Design Requirements. These links are obtained by combining information acquired by means of surveys, among other methodologies, as well as usage data from customer products. The method is based on the planning House of Quality and also takes cost and risk into consideration. Risk is estimated using the Analytical Hierarchy Process, whereby a hierarchy of the most relevant customer information is constructed to make designers aware of how customer-focused the design process is. To validate the proposed methodology an illustrative example is presented. Results show that the method provides valuable information that enables the company to remain customer-focused during the whole process but also when strategic decisions on price and product launch are made.
22.	Matschewsky, Johannes, 1987-, et al. (author) Designing and providing integrated product-service systems : challenges, opportunities and solutions resulting from prescriptive approaches in two industrial companies 2018 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 56:6, s. 2150-2168 Journal article (peer-reviewed)abstract Due to customer pressure and growing competition, industrial companies are increasingly moving towards providing integrated offerings of products and services (PSS). Despite this trend, literature providing a deep understanding of the challenges associated with this transition is limited, while publications discussing approaches that focus on overcoming these challenges are particularly lacking. This article is based on a multi-case study of two Swedish industrial companies undergoing the transition to designing and providing PSS. It reports on the challenges identified at the case companies as well as opportunities arising from and solutions to these challenges. Subsequent to initial research on the challenges, prescriptive approaches such as a life cycle costing method and a PSS design method were applied in the case companies over an extended time frame. On the one hand, these prescriptive approaches provided both a deeper understanding of the challenges, which include a persistent product centred mindset, a lack of adjustment to changed incentive structures and the separation of product and service design. On the other hand, they also led to effective solutions such as focusing on customer value and introducing a PSS transition facilitator for the design team. These solutions were adapted to the situations in the respective companies and they partly went beyond the prescriptive measures first introduced. Therefore, the article shows the applicability of prescriptive approaches and methods to detect, understand and alleviate the challenges of PSS design and provision. Further, the article provides broadly applicable learning for industrial companies undergoing this process.
23.	Mattsson, Sandra, 1984, et al. (author) Perceived production complexity – understanding more than parts of a system 2016 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 54:20, s. 6008-6016 Journal article (peer-reviewed)abstract To successfully manage today’s complex production systems it is essential to study operators’ perception of the system. The paper presents perceived production complexity assessed at seven manufacturing companies with the CompleXity Index (CXI) method. While other methods have measured product variants, layout, work content, tools and information items, CXI combines them into three areas. These three complexity areas (Station design, Work variance and Disturbance handling) help to create an understanding of the complex system by visualising how they contribute to complexity, and show the need to support the operators’ ability to handle the varying work.
24.	Neumann, Patrick, et al. (author) Simulating operator learning during production ramp-up in parallel vs. serial flow production 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 55:3, s. 845-857 Journal article (peer-reviewed)abstract The aim of this research is to demonstrate how human learning models can be integrated into discrete event simulation to examine ramp-up time differences between serial and parallel flow production strategies. The experimental model examined three levels of learning rate and minimum cycle times. Results show that while the parallel flow system had longer ramp-up times than serial flow systems, they also had higher maximum throughput capacity. As a result, the parallel flow system frequently outperformed lines within the first weeks of operation. There is a critical lack of empiricalevidence or methods that would allow designers to accurately determine what the critical learning parameters might be in their specific operations, and further research is needed to create predictive tools in this important area.
25.	Neumann, W. Patrick, et al. (author) Innovation and employee injury risk in automotive disassembly operations 2018 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 56:9, s. 3188-3203 Journal article (peer-reviewed)abstract Engineering innovations in car disassembly systems are studied for affects on system operators’ risk of repetitive strain injury (RSI). Objective instrumented measures of injury risk factors with synchronized video-based task analyses were used to examine changes in operators’ RSI risk during two cases of engineering innovation: 1) a shift in industrial model from traditional extracting saleable parts to line-based full material recovery, and 2) the prospective effects of a simulated “Lean” inspired process improvement in the line system.Both cases of innovation showed significantly increased movement speeds and reduced muscular recovery opportunities, implying increased RSI risk. This case study reveals a mechanism by which innovation may increase RSI risks for operators. Managers responsible for engineering innovation should ensure their teams have the tools and mandate necessary to control injury hazards as part of the development and design process. These cases suggest how failure to manage RSI hazards in the innovation process may allow increases of injury risks that can compromise operational performance. This “innovation pitfall” has implications for operator health and organizational sustainability. Alternative pathways are discussed.
26.	Ng, Amos H. C., 1970-, et al. (author) Studying unbalanced workload and buffer allocation of production systems using multi-objective optimisation 2017 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 55:24, s. 7435-7451 Journal article (peer-reviewed)abstract Numerous studies have investigated the effects of unbalanced service times and inter-station buffer sizes on the efficiency of discrete part, unpaced production lines. There are two main disadvantages of many of these studies: (1) only some predetermined degree of imbalance and patterns of imbalance have been evaluated against the perfectly balanced configuration, making it hard to form a general conclusion on these factors; (2) only a single objective has been set as the target, which neglects the fact that different patterns of imbalance may outperform with respect to different performance measures. Therefore, the aim of this study is to introduce a new approach to investigate the performance of unpaced production lines by using multiple-objective optimisation. It has been found by equipping multi-objective optimisation with an efficient, equality constraints handling technique, both the optimal pattern and degree of imbalance, as well as the optimal relationship among these factors and the performance measures of a production system can be sought and analysed with some single optimisation runs. The results have illustrated that some very interesting relationships among the key performance measures studied, including system throughput, work-in-process and average buffer level, could only be observed within a truly multi-objective optimisation context. While these results may not be generalised to apply to any production lines, the genericity of the proposed simulation-based approach is believed to be applicable to study any real-world, complex production lines.
27.	Olhager, Jan, et al. (author) Distribution of manufacturing strategy decision-making in multi-plant networks 2018 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 56:1-2, s. 692-708 Journal article (peer-reviewed)abstract This paper is concerned with the manufacturing strategy decision-making structure in multi-plant networks, i.e. how strategic manufacturing decision-making authority is distributed between the network level (i.e. headquarters) and the plant level. We use survey data from 107 manufacturing plants. This research identifies three different structures: centralised at the network headquarter, decentralised to the plant and integrated between central headquarters and the plant. All decision areas follow the same pattern, i.e. full centralisation, full decentralisation or full integration. We do not find any support for that some decisions are centralised while others are decentralised. Product volume and process type are significantly associated with the choice of decision-making structure. In particular, high product volumes are associated with a centralised approach, and a low degree of process flow orientation (such as project manufacturing, job shop and flow shop) is associated with a decentralised approach. The integrated approach is associated with a combination of lower product volumes and higher degrees of flow orientation. Choosing the right decision-making structure for the product and process mix seems to lead to high levels of operational performance.
28.	Rezaei Aderiani, Abolfazl, 1986, et al. (author) Developing a selective assembly technique for sheet metal assemblies 2019 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 57:22, s. 7174-7188 Journal article (peer-reviewed)abstract Applying the concept of Digital Twin in production processes supports the manufacturing of products of optimal geometry quality. This concept can be further supported by a strategy of finding the optimal combination of individual parts to maximise the geometrical quality of the final product, known as selective assembly technique. However, application of this technique has been limited to assemblies where the final dimensions are just function of the mating parts' dimensions and this is not applicable in sheet metal assemblies. This paper develops a selective assembly technique for sheet metal assemblies and investigates the effect of batch size on the improvements. The presented method utilises a variation simulation tool (Computer-Aided Tolerancing tool) and an optimisation algorithm to find the optimal combination of the mating parts. The approach presented is applied to three industrial cases of sheet metal assemblies. The results show that using this technique leads to a considerable reduction of the final geometrical variation and mean deviation for these kinds of assemblies. Moreover, increasing the batch size reduces the amount of achievable improvement in variation but increases the amount of achievable improvement in the mean deviation.
29.	Seifert, Daniel, et al. (author) A test of inventory models with permissible delay in payment 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 55:4, s. 1117-1128 Journal article (peer-reviewed)abstract Contrary to the long-standing view in the finance literature that firms should maximise payment delays, research in operations management suggests that long payment delays can be suboptimal. In this study, we reconcile these two views by applying a secondary data approach to established operations management theory. Based on a sample of 3383 groups of public US firms from a novel database, we find that our data are consistent with the causal relations and theoretical predictions of the operations management literature. Firm profitability is positively associated with payment delay. Payment delay, in turn, is positively associated with the capital cost difference between buyer and supplier and negatively associated with the price elasticity of demand and the deterioration rate of inventory. However, we do not observe any significant interaction effects between these factors, which raise a number of questions for future research.
30.	Sharifyazdi, Mehdi, et al. (author) On- and Off-Shore Prepositioning and Delivery Mechanism for Humanitarian Relief Operations 2018 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 56:17, s. 6164-6182 Journal article (peer-reviewed)abstract Traditionally, international humanitarian organisations have used on-demand dispatch of disaster relief goods from regional logistics units (RLUs) for sudden onset disaster response. This paper investigates the improvements in efficiency and resilience of disaster relief operations by combining the existing method of onshore prepositioning of relief items in RLUs with offshore prepositioning of relief items on-board vessels and at seaport terminals. The problem is formulated as a linear programming model that incorporates different logistical costs, including inventory cost, replenishment cost, and transportation cost, to find the best combination of disaster relief methods. At the tactical level, the model determines how much and where disaster relief items need to be prepositioned. At the operational level, the model addresses how much and by which mode of transport the disaster relief items need to be transported to disaster points. The model is tested on 16 major disasters in Southeast Asia. The main finding is that offshore prepositioning can contribute to cost reduction and resilience without compromising on the speed or the scale of the response. The results also suggest that the benefits depend on the duration of the disaster emergency period and the ratio of offshore storage cost to onshore storage cost.
31.	Shuoguo, Wei, et al. (author) Real option approach to evaluate cores for remanufacturing in service markets 2015 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 53:8, s. 2306-2320 Journal article (peer-reviewed)abstract Acquisition of cores is important for the success of remanufacturing business, but evaluating the value of cores is difficult due to many uncertain issues in the remanufacturing system. In this paper, we examine the value of cores using the real option valuation (ROV) approach, which well captures the production flexibility and represents different operations options in remanufacturing. First, in a system where the demand of remanufactured products is low, we focus on the uncertainty of price. We compare the cases where disposing cores occurs only at the expiration time and before that. The model also identifies under which circumstances disposing core early brings in more benefit. Furthermore, we study a remanufacturing system where demand and return are both uncertain. In this case, a spread option is used for evaluating the marginal value of obtaining additional cores. This approach also brings the advantage of linking the correlation between demand and return, which in fact is often exhibited in remanufacturing. The numerical experiments indicate that this correlation has an impact on collecting policies. This study illustrates the possibility of using ROV for core pricing modelling, and the study results also provide some managerial insights in managing returned cores.
32.	Tao, Liangyan, et al. (author) Optimal due date quoting for a risk-averse decision-maker under CVaR 2018 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 56:5, s. 1934-1959 Journal article (peer-reviewed)abstract This study investigates a due date quoting problem for a project with stochastic duration, taking the decision-maker's risk attitude into consideration. The project profit is defined as the difference between the price and the cost that is comprised of production cost and earliness-tardiness penalties. In this situation, the due date determination has to be modelled as a stochastic optimisation due to stochastic duration. Conditional value at risk is thus employed as a performance measure to describe the decision-maker's risk attitude. In fixed price contract, when the unit production cost is not smaller than the unit penalty on earliness, the optimal due date increases with the increase of the degree of a decision-maker's risk aversion, the unit penalty on delay, and the decrease of the unit penalty on earliness. Besides, when the price is proportional to the due date and the slope is no bigger than the unit penalty on tardiness, the optimal due date is smaller than the result in fixed price. This is because high price for a short due date encourages a decision-maker to quote a small due date. Further, we compare the optimal due date in different parameter setting where the penalty coefficient of earliness is negative or zero, which means there is reward or no penalty on earliness, respectively. Finally, a case study is conducted to validate the effectiveness and efficiency of the proposed model.
33.	Theorin, Alfred, et al. (author) An event-driven manufacturing information system architecture for Industry 4.0 2017 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 55:5, s. 1297-1311 Research review (peer-reviewed)abstract Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. They need to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined to real-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The Line Information System Architecture (LISA), is presented in this paper. It is an event-driven architecture featuring loose coupling, a prototype-oriented information model and formalised transformation services. LISA is designed to enable flexible factory integration and data utilisation. The focus of LISA is on integration of devices and services on all levels, simplifying hardware changes and integration of new smart services as well as supporting continuous improvements on information visualisation and control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also being installed at a large automotive company. This article is an extended and revised version of the paper presented at the 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards to the order and title of the chapters, and additional information about the integration between devices and services aspects have been added. The introduction and the general structure of the paper now better highlight the contributions of the paper and the uniqueness of the framework.
34.	van Loon, Patricia, et al. (author) Assessing the economic and environmental impact of remanufacturing: a decision support tool for OEM suppliers 2017 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 56:4, s. 1662-1674 Journal article (peer-reviewed)abstract The circular economy is often presented as a solution for companies to increase the sustainability of their business. In many situations where suppliers produce subassemblies or modules for OEMs in a B2B context, dependency on their clients limits their options for profitable closed-loop supply chains. In this paper, we develop a simple tool suppliers can use to quickly assess whether remanufacturing is economic and environmentally attractive compared to producing new components. We derive optimal acquisition and reuse quantities that minimise total costs. Based on our analysis with a supplier in the automotive industry, we find that used core prices and remanufacturing yield rates have a large impact while an optimised design for remanufacturing can only marginally improve the situation. The tool is applicable to a wide variety of suppliers and industries that remanufacture their modules or subassemblies, or are exploring the option to engage in remanufacturing operations.
35.	van Loon, Patricia, et al. (author) The role of second-hand markets in circular business : a simple model for leasing versus selling consumer products 2018 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 56:1-2, s. 960-973 Journal article (peer-reviewed)abstract This paper explores the role of the second-hand market when transitioning to a closed-loop system where products are leased multiple times. The total cost of ownership for consumers and profitability for manufacturers are compared in circular and linear business cases. We find that while second-hand markets were beneficial for manufacturers of durable goods in a linear system, since they increased the consumers’ willingness-to-pay for new products, the same second-hand markets might restrict the profitability of a closed-loop business model. A high resale value results in a relatively low cost of ownership in the sales system and additional activities in the closed-loop model (such as managing the lease contracts and refurbishment) add significant costs to the supply chain. Consequently, the economic (and environmental) benefits of leasing products already traded on second-hand markets in the linear system are often limited. Our simple analytical model allows a quick and dirty analysis of multiple scenarios with a minimum of inputs. We argue that manufacturers lack these kinds of models to guide them in navigating circular economy business models.
36.	Wang, Lihui, et al. (author) Sustainable cybernetic manufacturing 2019 In: International Journal of Production Research. - : TAYLOR & FRANCIS LTD. - 0020-7543 .- 1366-588X. ; 57:12, s. 3799-3801 Journal article (other academic/artistic)
37.	Wang, Xi Vincent, Dr. 1985-, et al. (author) Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0 2019 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 57:12, s. 3892-3902 Journal article (peer-reviewed)abstract The waste electrical and electronic equipment (WEEE) recovery can be categorised into two types, i.e. recycling at the material level and remanufacturing at the component level. However, the WEEE recovery is facing enormous challenges of diversified individuals, lack of product knowledge, distributed location, and so forth. On the other hand, the latest ICT provides new methods and opportunities for industrial operation and management. Thus, in this research digital twin and Industry 4.0 enablers are introduced to the WEEE remanufacturing industry. The goal is to provide an integrated and reliable cyber-avatar of the individual WEEE, thus forming personalised service system. The main contribution presented in this paper is the novel digital twin-based system for the WEEE recovery to support the manufacturing/remanufacturing operations throughout the product's life cycle, from design to recovery. Meanwhile, the international standard-compliant data models are also developed to support WEEE recovery services with high data interoperability. The feasibility of the proposed system and methodologies is validated and evaluated during implementations in the cloud and cyber-physical system.
38.	Wu, Dexiang, et al. (author) Optimising data-driven network under limited resource : a partial diversification approach 2019 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 57:21, s. 6875-6892 Journal article (peer-reviewed)abstract This paper describes a cardinality constrained network flow structure whose special characteristics are used to analyse different risk aspects under an environment of uncertainty. The network structure developed is a suitable alternative to support financial planning and many other decision-making problems with limited resources. By setting a diversification level, we can manage systematic and non-systematic risks under a stochastic mixed integer linear programming framework. A dual decomposition method, Progressive Hedging (PH), is applied to more efficiently accommodate instances with large numbers of scenarios. We studied the impact of the level of the diversification on transaction costs and considered different factors that influence the performance of the algorithm. In particular, a Lagrangian bound is embedded to enhance the capacity of the method. Numerical results show the effectiveness of the proposed decision support approach.
39.	Yang, Chen, et al. (author) Research on coordinated development between metropolitan economy and gistics using big data and Haken model 2019 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 57:4, s. 1176-1189 Journal article (peer-reviewed)abstract To quantitatively study the relationship and mutual effects between tropolitan economy and logistics is an important, yet pending issue, ich can scientifically guide the urban planning and investment. rough the identified evaluation indexes of metropolitan logistics and onomic development, this paper first builds up an evaluation process del of metropolitan economic and logistics development, based on big ta analytics (BDA), the entropy evaluation method, and the maximum viation method. BDA can help extract the exact data about the dicators of metropolitan economy and logistics. Then a Haken model is opted to ravel out the dynamic co-evolutionary law of economy and gistics in five Chinese cities, which complements the above static aluation. The results show that the economic development is an order rameter and plays a key role in the coordinated development of tropolitan logistics and economy. However, from 2013 to 2014, these ve cities had not established an orderly evolved positive-feedback chanism through which economic development promotes the coordinated velopment of metropolitan logistics and economic development.
40.	Zdravković, Milan, et al. (author) Domain framework for implementation of open IoT ecosystems 2018 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 56:7, s. 2552-2569 Journal article (peer-reviewed)abstract The current Internet-of-things (IoT) hype, pushed by the unprecedented rate of the technological enablers’ innovation, is threatening to leave behind some major, not so obvious, unresolved issues. IoT platforms will extend existing enterprise information systems (EIS) infrastructures to encompass cross-domain sensing and actuating capabilities, thus introducing additional complexity and major risks to the implementation. Furthermore, IoT platforms are typically driven by models of the trivial complexity; they support very simple data structures and almost no business logic implementation. Finally, IoT systems are today managed centrally, which often means less openness, less flexibility and greater change management costs. In this article, we provide the overview of the scientific disciplines which could contribute to the resolution of the IoT implementation problem, namely requirements engineering, change management/continuous improvement, model-based systems engineering, system architecture design, interoperability and policy and regulatory aspects. Then, we identify the challenges of these contributions in the context of IoT and finally make an attempt to identify research directions which could have a significant impact. The discussion of the challenges and opportunities is illustrated by the proposed domain framework for implementation of open IoT ecosystems.
41.	Zhang, Yingfeng, et al. (author) Smart box-enabled product–service system for cloud logistics 2016 In: International Journal of Production Research. - : Taylor & Francis. - 0020-7543 .- 1366-588X. ; 54:22, s. 6693-6706 Journal article (peer-reviewed)abstract Modern logistics takes significant progress and rapid developments with the prosperity of E-commerce, particularly in China. Typical challenges that logistics industry is facing now are composed by a lack of sharing, standard, cost-effective and environmental package and efficient optimisation method for logistics tasks distribution. As a result, it is difficult to implement green, sustainable logistics services. Three important technologies, Physical Internet (PI), product–service system (PSS) and cloud computing (CC), are adopted and developed to address the above issues. PI is extended to design a world-standard green recyclable smart box that is used to encapsulate goods. Smart box-enabled PSS is constructed to provide an innovative sustainable green logistics service, and high-quality packaging, as well as reduce logistics cost and environmental pollution. A real-time information-driven logistics tasks optimisation method is constructed by designing a cloud logistics platform based on CC. On this platform, a hierarchical tree-structure network for customer orders (COs) is built up to achieve the order-box matching of function. Then, a distance clustering analysis algorithm is presented to group and form the optimal clustering results for all COs, and a real-time information-driven optimisation method for logistics orders is proposed to minimise the unused volume of containers. Finally, a case study is simulated to demonstrate the efficiency and feasibility of proposed cloud logistics optimisation method. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
42.	Zhao, Fuguo, et al. (author) Lateral inventory transshipment problem in online-to-offline supply chain 2016 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 54:7, s. 1951-1963 Journal article (peer-reviewed)abstract Online-to-offline (OTO) is a new commercial model with enormous market potential. Online customer orders are forwarded to the offline brick-and-mortar store to fulfil, which is a combination of dual-channel supply chain. OTO overcomes many disadvantages of the traditional dual-channel supply chain, but still faces uncertain market demand. To reduce the inventory risk caused by demand uncertainty, lateral inventory transshipment is employed in this paper to pool inventory risk in OTO supply chain. We model centralised OTO and decentralised OTO with/without transshipment, and then analyse different scenarios. Our results demonstrate that there exists a unique Nash equilibrium of inventory order levels in dual channels and an optimal transshipment price to maximise the profit of the entire supply chain. Finally, we provide a numerical example of uniform demand distribution. Our analyses offer many managerial insights and show that transshipment always benefits the OTO supply chain.
43.	Zhaoae, Fuguo, et al. (author) Cash flow risk in dual-channel supply chain 2015 In: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 53:12, s. 3678-3691 Journal article (peer-reviewed)abstract This paper focuses on multi-period cash flow risk which is measured by the SD in dual-channel supply chain. The manufacturer offers a consignment contract to the retailer, exposing cash flow risk due to the payment delay. We analyze cash inflows, outflows, and netflows of each member in dual-channel supply chain. We also examine different influencing factors on the preference of cash flows in dual-channel supply chain and then provide some managerial implications to deal with cash flow risk.

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