| 1. |
- De Vin, Leo, 1957-, et al.
(författare)
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MMI: Engineering Studies with a Truly European Dimension
- 2006
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Ingår i: Innovative teaching and learning in engineering education. ; , s. 99-106
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Konferensbidrag (refereegranskat)abstract
- The paper describes a new engineering Master's program called MMII (manufacturing management and industrial informatics) that is co-located at universities in Sweden, Spain and the United Kingdom. One reason for developing the program was that the changing manufacturing landscape due to globalisation, increasing complexity of manufacturing systems itself and an increased need to integrate manufacturing systems with corporate information systems forces educators to find solutions that provide industry with engineers who have the right skills. Apart from "hard" skills related to the above-mentioned issues, industry increasingly also requires engineers to have well-developed "soft" skills such as an ability to work in an international environment and willingness to work abroad. A program given at only one location would not provide a truly European dimension and besides, it would draw heavily upon the teaching resources; hence the decision to seek international partners with complementing competences and resources; these were found at universities in Skövde, Valencia and Loughborough. In Loughborough, students read capita selecta from CAE (computer aided engineering) during one semester. In Valencia, they spend a project-based semester on international industrial management. In Skövde, they read virtual manufacturing during one semester and carry out their degree project during the final semester.
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| 2. |
- Fathi, Masood, et al.
(författare)
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Assembly line balancing problem : a comparative evaluation of heuristics and a computational assessment of objectives
- 2018
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Ingår i: Journal of Modelling in Management. - : Emerald Group Publishing Limited. - 1746-5664 .- 1746-5672. ; 13:2, s. 455-474
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Tidskriftsartikel (refereegranskat)abstract
- Purpose – The purpose of this study is to firstly investigate the efficiency of the most commonly used performance measures for minimizing the Number of Workstations (NWs) in approaches addressing Simple Assembly Line Balancing Problem (SALBP) for both straight and U-shaped line. Secondly, this study aims to provide a comparative evaluation of 20 constructive heuristics to find solutions to the SALBP-1.Design/methodology/approach – 200 problems are solved by 20 different constructive heuristics for both straight and U-shaped assembly line. Moreover, several comparisons have been made to evaluate the performance of constructive heuristics.Findings – Minimizing the Smoothness Index (SI) is not necessarily equivalent to minimizing the NWs, therefore, it should not be used as the fitness function in approaches addressing the SALBP-1. Line efficiency (LE) and the idle time (IT) are indeed reliable performance measures for minimizing the NWs. The most promising heuristics for straight and U-shaped line configurations for SALBP-1 are also ranked and introduced.Practical implications – Results are expected to help scholars and industrial practitioners to better design effective solution methods for having a most balance assembly line. This study will further help with choosing the most proper heuristic with regard to the problem specifications and line configuration.Originality/value – There is limited research assessing the efficiency of the common objectives for SALBP-1. This study is among the first to prove that minimizing the workload smoothness is not equivalent to minimizing the NWs in SALBP-1 studies. This work is also one of the first attempts for evaluating the constructive heuristics for both straight and U-shaped line configurations.
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| 3. |
- Flores-García, Erik, et al.
(författare)
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Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
- 2018
-
Ingår i: Procedia CIRP. - : Elsevier. - 2212-8271 .- 2212-8271. ; 72, s. 334-339
-
Tidskriftsartikel (refereegranskat)abstract
- Despite the increased use of Simulation based Optimization, the design of facility layout is challenged by high levels of uncertainty associatedwith new production processes. Addressing this issue, this paper aims to understand the conceptual modeling activities of Simulation-basedOptimization for facility layout design in conditions of high uncertainty. Based on three in-depth case studies, the results of this paper showhow characterization criteria of production systems can be used in conceptual modelling to reduce uncertainty. These results may be essentialto support managers and stakeholders during the introduction of new production processes in the design of facility layouts.
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| 4. |
- Goienetxea, Ainhoa, 1983-, et al.
(författare)
-
Bringing together Lean and simulation : a comprehensive review
- 2020
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Ingår i: International Journal of Production Research. - : Taylor & Francis Group. - 0020-7543 .- 1366-588X. ; 58:1, s. 87-117
-
Forskningsöversikt (refereegranskat)abstract
- Lean is and will still be one of the most popular management philosophies in the Industry 4.0 context and simulation is one of its key technologies. Many authors discuss about the benefits of combining Lean and simulation to better support decision makers in system design and improvement. However, there is a lack of reviews in the domain. Therefore, this paper presents a four-stage comprehensive review and analysis of existing literature on their combination. The aim is to identify the state of the art, existing methods and frameworks for combining Lean and simulation, while also identifying key research perspectives and challenges. The main trends identified are the increased interest in the combination of Lean and simulation in the Industry 4.0 context and in their combination with optimisation, Six Sigma, as well as sustainability. The number of articles in these areas is likely to continue to grow. On the other hand, we highlight six gaps found in the literature regarding the combination of Lean and simulation, which may induce new research opportunities. Existing technical, organisational, as well as people and culture related challenges on the combination of Lean and simulation are also discussed.
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| 5. |
- Goienetxea Uriarte, Ainhoa, et al.
(författare)
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An Innovative Collaboration Between Industry, University and Nonprofit Agency, for a Competitive Industry : A Swedish case
- 2011
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Ingår i: ICERI 2001. - : International Association of Technology, Education and Development, IATED. - 9788461533244 ; , s. 4154-4162
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Konferensbidrag (refereegranskat)abstract
- In a knowledge based economy, manufacturing industry has to continuously improve their operations, processes and develop their employees in order to remain competitive in the market.In this context, the collaboration between industry and universities becomes of vital importance. Universities and industry have traditionally maintained fairly informal or lose ways of cooperation when it comes to education. This article presents a fruitful cooperation which has been established between the University of Skövde, the Industrial Development Center in the region, IDC West Sweden AB, and the manufacturing industry.The paper describes the development, lessons learned and the outcome of more than 3 years’ experience of close collaboration between the different stakeholders. It presents a methodology, used by the consortium to help manufacturing industries to improve their competiveness using a well defined process including: a company analysis, applied education and long-term coaching. A special focus is put on a long-term commitment by all partners. This alliance has performed more than 140 company analysis, conducted applied education for more than 2500 employees from more than 120 companies and performed coaching of more than 80 companies on site. The trend is that these figures will increase over time.The established collaboration has been strengthened over this period of time by a number of shared research projects. One of these projects involves an evaluation of the impact that this presented consortium has had on the region´s industry. Lean Learning Academies is another project that has been funded by the European Union within the Lifelong Learning Program, with the aim to increase the competitiveness of European companies and enhance the employability of students.
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| 6. |
- Goienetxea Uriarte, Ainhoa, 1983-
(författare)
-
Bringing Together Lean, Simulation and Optimization : Defining a framework to support decision-making in system design and improvement
- 2019
-
Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The rapid changes in the market including globalization, the requirement for personalizedproducts and services by the customers, shorter product life-cycles, the exponential growthof technological advances, and the demographical changes, will demand organizations toeffectively improve and design their systems in order to survive. This is the actual paradigmcharacterizing the industrial and service sectors. This scenario presents a considerablechallenge to decision makers who will need to decide about how to design and improve amore than ever complex system without compromising the quality of the decision taken.Lean, being a widely applied management philosophy with very powerful principles, itsmethods and tools are static in nature and have some limitations when it comes to the designand improvement of complex and dynamic systems. Some authors have proposed thecombined use of simulation with Lean in order to overcome these limitations. Furthermore,optimization and post-optimization tools coupled to simulation, provide knowledge aboutoptimal or nearly optimal system configurations to choose from. However, even if Leanprinciples, methods and tools, as well as simulation and optimization, pursue the objectiveof supporting organizations regarding system design and improvement, a bilateral approachfor their combination and its benefits have barely been addressed in the literature.Many studies focus only on how specific Lean tools and simulation can be combined, treatingLean purely as a toolbox and not considering how Lean can support the simulation process.The aim of this research is to address this knowledge gap by analyzing the mutualbenefits and presenting a framework for combining Lean, simulation and optimization tobetter support decision makers in system design and improvement where the limitationsof Lean tools and simulation are overcome by their combination. This framework includesa conceptual framework explaining the relationships between the Lean philosophy, methodsand tools with simulation and optimization; the purposes for this combination and stepby step processes to achieve these purposes; the identification of the roles involved in eachprocess; a maturity model providing guidelines on how to implement the framework; existingbarriers for the implementation; and ethical considerations to take into account. Anindustrial handbook has also been written which explains how to deploy the framework.The research has been conducted in three main stages including an analysis of the literatureand the real-world needs, the definition and formulation of the framework, and finally, itsevaluation in real-world projects and with subject matter experts. The main contributionof this research is the reflection provided on the bilateral benefits of the combination, aswell as the defined and evaluated framework, which will support decision makers take qualitydecisions in system design and improvement even in complex scenarios.
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| 7. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
How can decision makers be supported in the improvement of an emergency department? : A simulation, optimization and data mining approach
- 2017
-
Ingår i: Operations Research for Health Care. - : Elsevier. - 2211-6923 .- 2211-6931. ; 15, s. 102-122
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Tidskriftsartikel (refereegranskat)abstract
- The improvement of emergency department processes involves the need to take into considerationmultiple variables and objectives in a highly dynamic and unpredictable environment, which makes thedecision-making task extremely challenging. The use of different methodologies and tools to support thedecision-making process is therefore a key issue. This article presents a novel approach in healthcarein which Discrete Event Simulation, Simulation-Based Multi-Objective Optimization and Data Miningtechniques are used in combination. This methodology has been applied for a system improvementanalysis in a Swedish emergency department. As a result of the project, the decision makers were providedwith a range of nearly optimal solutions and design rules which reduce considerably the length of stayand waiting times for emergency department patients. These solutions include the optimal number ofresources and the required level of improvement in key processes. The article presents and discussesthe benefits achieved by applying this methodology, which has proven to be remarkably valuable fordecision-making support, with regard to complex healthcare system design and improvement.
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| 8. |
- Goienetxea Uriarte, Ainhoa, et al.
(författare)
-
Improved system design of an emergency department through simulation-based multiobjective-optimization
- 2014
-
Konferensbidrag (refereegranskat)abstract
- Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.
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| 9. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Improving the material flow of a manufacturing company via lean, simulation and optimization
- 2017
-
Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1245-1250
-
Konferensbidrag (refereegranskat)abstract
- Companies are continuously working towards system and process improvement to remain competitive in a global market. There are different methods that support companies in the achievement of that goal. This paper presents an innovative process that combines lean, simulation and optimization to improve the material flow of a manufacturing company. A description of each step of the process details the lean tools and principles taken into account, as well as the results achieved by the application of simulation and optimization. The project resulted in an improved layout and material flow that employs an automated guided vehicle. In addition, lean wastes related to transport, inventory levels as well as waiting times were reduced. The utilization of the process that combines lean, simulation and optimization was considered valuable for the success of the project.
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| 10. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Introducing simulation and optimization in the Lean continuous improvement standards in an automotive company
- 2019
-
Ingår i: Proceedings of the Winter Simulation Conference, Gothenburg, December 9-12, 2018. - Piscataway, New Jersey : IEEE. - 9781538665725 - 9781538665701 - 9781538665718 - 9781538665732 ; , s. 3352-3363
-
Konferensbidrag (refereegranskat)abstract
- The highly competitive automobile market requires automotive companies to become efficient by continuously improving their production systems. This paper presents a case study where simulationbased optimization (SBO) was employed as a step within a Value Stream Mapping event. The aim of the study was to promote the use of SBO to strengthen the continuous improvement work of the company. The paper presents all the key steps performed in the study, including the challenges faced and a reflection on how to introduce SBO as a powerful tool within the lean continuous improvement standards.
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| 11. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Lean, Simulation and Optimization : A Win-Win combination
- 2016
-
Ingår i: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, New Jersey : IEEE Computer Society. - 9781467397438 - 9781467397414 - 9781467397421 ; , s. 2227-2238
-
Konferensbidrag (refereegranskat)abstract
- Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other´s limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.
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| 12. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Lean, simulation and optimization : A maturity model
- 2017
-
Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1310-1315
-
Konferensbidrag (refereegranskat)abstract
- This article presents a maturity model that can be applied to support organizations in identifying their current state and guiding their further development with regard to lean, simulation and optimization. The paper identifies and describes different maturity levels and offers guidelines that explain how organizations can grow from lower to higher levels of maturity. In addition, it attempts to provide the starting point for organizations that have applied lean or are willing to implement it and which may also be considering taking decisions in a more efficient way via simulation and optimization.
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| 13. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Supporting the lean journey with simulation and optimization in the context of Industry 4.0
- 2018
-
Ingår i: Procedia Manufacturing. - : Elsevier. - 2351-9789. ; 25, s. 586-593
-
Tidskriftsartikel (refereegranskat)abstract
- The new industrial revolution brings important changes to organizations that will need to adapt their machines, systems and employees’ competences to sustain their business in a highly competitive market. Management philosophies such as lean will also need to adapt to the improvement possibilities that Industry 4.0 brings. This paper presents a review on the role of lean and simulation in the context of Industry 4.0. Additionally, the paper presents a conceptual framework where simulation and optimization will make the lean approach more efficient, speeding up system improvements and reconfiguration, by means of an enhanced decision-making process and supported organizational learning.
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| 14. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization
- 2015
-
Ingår i: Journal of Physics, Conference Series. - : Institute of Physics Publishing (IOPP). - 1742-6588 .- 1742-6596. ; 616:1
-
Tidskriftsartikel (refereegranskat)abstract
- Discrete Event Simulation (DES) is nowadays widely used to support decision makers in system analysis and improvement. However, the use of simulation for improving stochastic logistic processes is not common among healthcare providers. The process of improving healthcare systems involves the necessity to deal with trade-off optimal solutions that take into consideration a multiple number of variables and objectives. Complementing DES with Multi-Objective Optimization (SMO) creates a superior base for finding these solutions and in consequence, facilitates the decision-making process. This paper presents how SMO has been applied for system improvement analysis in a Swedish Emergency Department (ED). A significant number of input variables, constraints and objectives were considered when defining the optimization problem. As a result of the project, the decision makers were provided with a range of optimal solutions which reduces considerably the length of stay and waiting times for the ED patients. SMO has proved to be an appropriate technique to support healthcare system design and improvement processes. A key factor for the success of this project has been the involvement and engagement of the stakeholders during the whole process.
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| 15. |
- Liu, Yu, et al.
(författare)
-
Evaluating environmental impacts of production process by simulation based life cycle assessment
- 2016
-
Ingår i: Proceedings of the 7th Swedish Production Symposium.
-
Konferensbidrag (refereegranskat)abstract
- Historically, the manufacturing industry is one of the main contributors to the environmental issues. With conservation of the environment becoming more and more critical for survival, it is of importance for the manufacturing industry to take responsibility for minimizing their productions’ environmental impacts. Life cycle assessment has been widely used in the product’s development phase within the manufacturing industry. However, the environmental impacts that come from various dynamic manufacturing processes are only estimated with large uncertainty. Some studies have suggested that the combination of life cycle assessment and production flow simulation is an appropriate approach to address the environmental impacts from the manufacturing processes. Nevertheless, these studies are often limiting their concerns to the limited life cycle phases or certain environmental impacts. This study proposes a framework regarding how to develop a method for evaluating and identifying improvements that help reduce the life-cycle environmental impacts of complex production processes. In addition, this work employs a simplified case study to demonstrate the proposed framework.
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| 16. |
- Liu, Yu
(författare)
-
Integrating life cycle assessment into simulation-based decision support
- 2022
-
Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Increasing marketing and legislative requirements put heavy demands on the environmental performance of future transportation solutions. The resulting need to reduce total environmental impacts presents both challenges and opportunities to the transport sector as a whole, including the automotive industry. Life cycle assessment (LCA) is commonly used to evaluate environmental performance in the automotive industry. However, the static nature of LCAlimits its usefulness for capturing dynamic environmental consequences in the manufacturing and operational phase. This thesis proposes a simulation-based approach to LCA that addresses this problem. Selected real-world case studies demonstrate the potential of the approach in both vehicle production processes and end-user applications. The work was preceded by a comprehensive review of the potential benefits and challenges of using simulation-based LCA in production processes. This review laid the foundation for the development and implementation of this method inthe automotive industry. Two real-world case studies demonstrate its value. The first was a waste collection case study in which LCA was integrated in an existing simulation-based decision support tool to optimize the company’s activities froma life cycle environmental impact perspective. A simultaneously developed simulation-based LCA model of an iron foundry production line extended the applicability of the method with a proposed decision support interpretation approach. The study shows that data and information from both simulation model and LCA databases can be integrated and utilized in the developed simulation-based LCA method. This allows different systems with different configurations to be combined to assess the relevant parameters, and eventually to provide information about overall environmental impacts to decision makers to improvethe environmental sustainability of the automotive industry.
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| 17. |
- Miranda, Montserrat-Ana, et al.
(författare)
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Eco-efficient management of a feeding system in an automobile assembly-line
- 2021
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Ingår i: Journal of Modelling in Management. - : Emerald Group Publishing Limited. - 1746-5664 .- 1746-5672. ; 16:2, s. 464-485
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose This study aims to reduce carbon emissions and costs in an automobile production plant by improving the operational management efficiency of a serial assembly line assisted by a feeding electric tow vehicle (ETV). Design/methodology/approach A multi-objective function is formulated to minimize the energy consumption of the ETV from which emissions and costs are measured. First, a mixed-integer linear programming model is used to solve the feeding problem for different sizes of the assembly line. Second, a bi-objective optimization (HBOO) model is used to simultaneously minimize the most eco-efficient objectives: the number of completed runs (tours) by the ETV along the assembly line, and the number of visits (stops) made by the ETV to deliver kits of components to workstations. Findings The most eco-efficient strategy is always the bi-objective optimal solution regardless of the size of the assembly line, whereas, for single objectives, the optimization strategy differs depending on the size of the assembly line. Research limitations/implications Instances of the problem are randomly generated to reproduce real conditions of a particular automotive factory according to a previous case study. The optimization procedure allows managers to assess real scenarios improving the assembly line eco-efficiency. These results promote the implementation of automated control of feeding processes in green manufacturing. Originality/value The HBOO-model assesses the assembly line performance with a view to reducing the environmental impact effectively and contributes to reducing the existent gap in the literature. The optimization results define key strategies for manufacturing industries eager to integrate battery-operated motors or to address inefficient traffic of automated transport to curb the carbon footprint.
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| 18. |
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| 19. |
- Ng, Amos, et al.
(författare)
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Factory flow design and analysis using internet-enabled simulation-based optimization and automatic model generation
- 2011
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Ingår i: Proceedings of the 2011 Winter Simulation Conference. - : IEEE conference proceedings. - 9781457721090 - 9781457721083 ; , s. 2176-2188
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Konferensbidrag (refereegranskat)abstract
- Despite simulation offers tremendous promise for designing and analyzing complex production systems, manufacturing industry has been less successful in using it as a decision support tool, especially in the early conceptual phase of factory flow design. If simulation is used today for system design, it is more often used in later phases when important design decisions have already been made and costs are locked. With an aim to advocate the use of simulation in early phases of factory design and analysis, this paper introduces FACTS Analyzer, a toolset developed based on the concept of integrating model abstraction, automatic model generation and simulation-based optimization under an innovative Internet-based platform. Specifically, it addresses a novel model aggregation and generation method, which when combined together with other system components, like optimization engines, can synthetically enable simulation to become much easier to use and speed up the time-consuming model building, experimentation and optimization processes, in order to support optimal decision making.
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| 20. |
- Ng, Amos, et al.
(författare)
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FACTS ANALYSER: AN INNOVATIVE TOOL FOR FACTORY CONCEPTUAL DESIGN USING SIMULATION
- 2007
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Ingår i: The Swedish Production Symposium in Göteborg 28-30 August 2007.
-
Konferensbidrag (refereegranskat)abstract
- Despite simulation possesses an established background and offers tremendous promise for designing and analysing complex production systems, manufacturing industry has been less successful in using it as a decision support tool, especially in the early conceptual phase of factory design. If simulation is used today for system design, it is more often used in later phases when important designdecisions have already been made and costs are locked. With an aim to advocate the use of simulation in early phases of factory design, this paper introduces FACTS Analyser, a toolset developed based on the concept of integrating model abstraction, input data management and simulation-based optimisation under an innovative framework. Specifically, it addresses a novel aggregation method, which is based on Effective Processing Time, for modelling variability of workstations. Other features like simulation model generation, parallel simulation, optimisation and output data analysis that are provided by FACTS Analyser, through a Web Services interface, are also revealed. The aggregation method, when combined together with other system components, can synthetically enable simulation to become easier to use and speed up the time-consuming model building and experimentation process, which are required in conceptual design phases of production systems. Initial validation results applied to a trucks assembly plant is also given.
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| 21. |
- Ng, Amos H. C., et al.
(författare)
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Multi-Objective Simulation Optimization for Production Systems Design using FACTS Analyser
- 2008
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Ingår i: Proceedings of the 2nd Swedish Production Symposium. ; , s. 101-109
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Konferensbidrag (refereegranskat)abstract
- This paper proposes a new general method for supporting production systems design within the context of Multi-objective Simulation Optimisation. Under this framework, different Production Control Mechanisms can be compared based on their optimal settings, which will be illustrated with a pedagogical simple flow line as well as an engines assembly line in automotive industry. Results from these case studies have provided significant insight into the importance of applying MOSO for Multi-Criteria Decision Making in general production systems design. At the same time, it also outlines the concept of applying significant dominance to handle uncertainty from stochastic simulation output, which has been implemented into a Web-based DES system called FACTS Analyser, specifically designed for conceptual factory design, analysis and optimisation.
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| 22. |
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| 23. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
-
A simulation-based multi-objective optimization approach for production and logistics considering the production layout
- 2016
-
Ingår i: Proceedings of the 7th Swedish Production Symposium.
-
Konferensbidrag (refereegranskat)abstract
- Manufacturing sectors in Sweden have a long tradition and represent a significant share of the national gross domestic product and the export values. Most of the Swedish manufacturing companies have gone through a modernization and adaptation process in order to be able to compete on a globalized market. Many plants, however, still have non-optimized shop floors as a consequence of the shop floors being adapted over time without redesigning its production and logistics flows and with a lack of an overall strategy. To support the optimization of shop floors, this paper suggests the combined use of Discrete-Event Simulation and Simulation-Based Multi-objective Optimization. The aim of the paper is to analyze a simulation methodology that supports the optimization of shop floors by considering production and logistics flows along with the shop floor layout. The methodology is intended to contribute to significantly increase the productivity and efficiency of the Swedish manufacturing industry and help companies to survive on the globalized market. Through a case study, the paper shows that the proposed methodology is useful in practice and that it provides a decision support system for manufacturing companies.
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| 24. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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A Simulation-Based Optimization Methodology for Facility Layout Design in Manufacturing
- 2020
-
Ingår i: IEEE Access. - : IEEE. - 2169-3536. ; 8, s. 163818-163828
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Tidskriftsartikel (refereegranskat)abstract
- Optimizing production systems is urgent and indispensable if companies are to cope with global competition and a move from mass production to mass customization. The urgency of this need is more obvious in old production plants with a history of modifications, expansions, and adaptations in their production facilities. It is common to find complex, intricate and inefficient systems of material and product flows as a result of poor production facility layout. Several approaches can be used to support the design of optimal facility layouts. However, there is a lack of a suitable generic methodology for designing such layouts. Additionally, there has been little focus on the data and resources required, or on how simulation and optimization can support the design of optimal facilities. To overcome these deficiencies, this paper studies the integration of simulation and optimization for the design and improvement of facility layouts taking into account production and logistics constraints. The paper includes a generic perspective and a detailed implementation. The proposed methodology is evaluated in two case studies and by drawing on the principles and tools of the functional resonance analysis method. This method analyzes the implementation order and variability of a group of processes that can lead to unwanted outcomes. The results can provide managers and other stakeholders with a methodology that adequately considers production and logistics constraints when seeking an optimized facility layout design.
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| 25. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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Challenges of Simulation- ased Optimization in Facility Layout Design of Production Systems
- 2019
-
Ingår i: Advances in Transdisciplinary Engineering. - Amsterdam : IOS Press BV. - 9781614994398 ; , s. 507-512, s. 507-512
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Konferensbidrag (refereegranskat)abstract
- Facility layout design (FLD) is becoming more challenging than ever as manufacturing moves from a traditional emphasis on mass production to an emphasis on mass customization, which requires increased flexibility and adaptability. Of the software tools that support FLD, simulation and optimization are the most powerful - especially when combined in simulation-based optimization (SBO). The aim of this study is to identify the challenges of using SBO in FLD of production systems. To date, the challenges of SBO and FLD have been addressed in separate streams of literature. This paper also presents two novel contributions based on two case studies involving Swedish manufacturers. First, it shows that the challenges of using SBO in FLD identified in the literature are not the most important in industrial environments, where precedence must be given to the challenges of complexity, data noise, and standardization. Second, it shows that the challenges of SBO in FLD are not technological in nature but stem from the increased complexity of the factories required by modern manufacturing companies.
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| 26. |
- Ruiz Zúñiga, Enrique, 1986-
(författare)
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Facility layout design with simulation-based optimization : A holistic methodology including process, flow, and logistics requirements in manufacturing
- 2020
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Adaptability and flexibility are becoming key concepts in manufacturing. Today manufacturing companies often have to deal with random disruptive events, which necessitates significantly more complex manufacturing systems. Mass customization (manufacturing customized products with mass production efficiency) has also considerably increased the complexity of facility layouts, that is, the physical arrangement of the different aspects required to create products in a factory. Design and improvement of facility layouts is considered a major industrial problem as it affects so many aspects of business. Even in industrialized countries with a long manufacturing history, it is common to find facility layouts that lack optimized flows of materials and products. The main reason for this state of affairs is usually a lack of long-term planning, commonly due to continuous changes and adaptations of the production systems in the layout. These problems are exacerbated by today’s shortened product life cycle.Simulation and optimization are well suited to improve complex manufacturing systems in which several events occur at the same time with unpredictable situations. Thus this thesis aims to investigate how simulation and optimization, and their combination – called simulation-based optimization – can support the redesign and improvement process for existing facility layouts. A literature review shows there is a gap in the field relating to a holistic approach to optimizing facility layouts taking into account production processes and internal logistics. “Holistic” as used here refers to the consideration of the processes and flows occurring in the facility layout, namely machining, assembly, and internal logistics. The aim of this thesis thus includes proposing a holistic methodology based on discrete-event simulation to optimize processes, flows, and internal logistics related to the facility layout.A methodology is defined as a logical set of methods, and in this thesis the methodology has been developed using a case study method with a design and creation strategy. This approach has been successful in identifying and overcoming both theoretical and empirical challenges in simulation-based optimization of facility layout design. The methodology was evaluated using functional resonance analysis method and industrial case studies, and it has proven to be effective for optimizing facility layouts. These results can thus serve as a guideline for engineers and staff involved in this type of layout project, and as a guideline for managers and stakeholders to support strategic decisions.
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| 27. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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Holistic simulation-based optimisation methodology for facility layout design with consideration to production and logistics constraints
- 2021
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Ingår i: Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture. - : Sage Publications. - 0954-4054 .- 2041-2975. ; 235:14, s. 2350-2361
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Tidskriftsartikel (refereegranskat)abstract
- Facility layout design is becoming more challenging as manufacturing moves from traditionally emphasised mass production to mass customisation. The increasing demand for customised products and services is driving the need to increase flexibility and adaptability of both production processes and their material handling systems. A holistic approach for designing facility layouts with optimised flows considering production and logistics systems constraints seems to be missing in the literature. Several tools, including traditional methods, analytic hierarchy process, multiple-attribute decision making, simulation, and optimisation methods, can support such a process. Among these, simulation-based optimisation is the most promising. This paper aims to develop a facility layout design methodology supported by simulation-based optimisation while considering both production and logistics constraints. A literature review of facility layout design with simulation and optimisation and the theoretical and empirical challenges are presented. The integration of simulation-based optimisation in the proposed methodology serves to overcome the identified challenges, providing managers and stakeholders with a decision support system that handles the complex task of facility layout design.
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| 28. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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Integrating Simulation-Based Optimization, Lean, and the Concepts of Industry 4.0
- 2017
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Ingår i: Proceedings of the 2017 Winter Simulation Conference. - : IEEE. - 9781538634288 - 9781538634295 - 9781538634301 ; , s. 3828-3839
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Konferensbidrag (refereegranskat)abstract
- Nowadays, due to the need of innovation and adaptation for the mass production of customized goods,many industries are struggling to compete with the manufacturing sector emerging in different countriesaround the world. The understanding and implementation of different improvement techniques isnecessary in order to take part in the so-called fourth industrial revolution, Industry 4.0. This paperinvestigates how two well-known improvement approaches, namely lean and simulation-basedoptimization, can be combined with the concepts of Industry 4.0 to improve efficiency and avoid movingproduction to other countries. Going through an industrial case study, the paper discusses how such acombination could be carried out and how the different strengths of the three approaches can be utilizedtogether. The case study focuses on how the efficiency of a production site can be increased and howIndustry 4.0 can support the improvement of the internal logistics on the shop floor.
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| 29. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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Production Logistics Design and Development Support : A Simulation-Based Optimization Case Study (WIP)
- 2016
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Ingår i: SummerSim'16, 2016 July 24-27, Palais des congres de Montreal (Montreal Convention Center) | Montreal, Quebec, Canada. - : The Society for Modeling and Simulation International. - 9781510824249 ; , s. 56:1-56:6
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Konferensbidrag (refereegranskat)abstract
- Manufacturing sectors in Sweden have a long history that leads to common non-optimized flows on the shop floor. Especially when having a really high product mix and a low-volume of customized products, a great deal of effort with respect to flow optimization is needed to stay present and compete in the globalized market. The goal of this project is to support the design and development of the implementation of new production systems and logistics flows considering the shop floor plant layout of a Swedish middle-size water pumps factory. In this paper, with the help of different types of simulation models and optimization, some results of a new technologically adapted production line are analyzed and relevant information and potential improvements in the production are found. The further development of optimization studies using the exiting simulation models is stated as ongoing and future work. The obtained and potential results can serve for decision makers and stakeholders to apply changes and adaptations in the system considering the mid and long term goals of the company.
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| 30. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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The Internet of Things, Factory of Things and Industry 4.0 in Manufacturing : Current and Future Implementations
- 2017
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Ingår i: Advances in Manufacturing Technology XXXI. - : IOS Press. - 9781614997917 - 9781614997924 ; , s. 221-226
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Konferensbidrag (refereegranskat)abstract
- In the currently rapidly changing industrialized world, globalization,product customization and automation are playing an imposing role in thedevelopment of the manufacturing sector. Nowadays, the innovative concepts ofThe Internet of Things, Factory of Things and Industry 4.0 are aimed torevolutionize the way technology can help improve production around the world.While in some international corporations these concepts are being deeply studiedand are starting to be implemented, also in middle-size and large manufacturers itis clear they could contribute with many advantages; however, skepticism anduncertainty are still present among managers and stakeholders. In this paper, thecurrent and coming state-of-the-art technology and implementation of the Factoryof Things paradigm are presented and examples of the current implementation inglobal manufacturing companies are analyzed. Additionally, this article willdiscuss the potential implementation of this Industry 4.0 in a large manufacturer,and how it can help increase the control and efficiency of production, materialflows, internal logistics and production planning.
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| 31. |
- Schmitt, Thomas, et al.
(författare)
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Augmented reality for machine monitoring in industrial manufacturing : framework and application development
- 2023
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Ingår i: Procedia CIRP. - : Elsevier. - 2212-8271 .- 2212-8271. ; , s. 1327-1332
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Tidskriftsartikel (refereegranskat)abstract
- Enhancing data visualization on the shop floor provides support for dealing with the increasing complexity of production and the need for progressing towards emerging goals like energy efficiency. It enables personnel to make informed decisions based on real-time data displayed on user-friendly interfaces. Augmented reality (AR) technology provides a promising solution to this problem by allowing for the visualization of data in a more immersive and interactive way. The aim of this study is to present a framework to visualize live and historic data about energy consumption in AR, using Power BI and Unity, and discuss the applications' capabilities. The study demonstrated that both Power BI and Unity can effectively visualize near-real-time machine data with the aid of appropriate data pipelines. While both applications have their respective strengths and limitations, they can support informed decision-making and proactive measures to improve energy utilization. Additional research is needed to examine the correlation between energy consumption and production dynamics, as well as to assess the user-friendliness of the data presentation for effective decision-making support.
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| 32. |
- Skoogh, Anders, 1980, et al.
(författare)
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AN AUTOMATED APPROACH TO INPUT DATA MANAGEMENT IN DISCRETE EVENT SIMULATION PROJECTS: A PROOF-OF-CONCEPT DEMONSTRATOR
- 2007
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Ingår i: EUROSIM 2007 in Ljubljana, Slovenia, 9-13 September 2007.
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Konferensbidrag (refereegranskat)abstract
- Despite the fact that Discrete Event Simulation (DES) is claimed to be one of the most potent tools for analysis and optimization of production systems, industries worldwide have not been able to fully utilize its potential. One reason is argued to be that DES projects are not time efficient enough due to extensive time consumption during the input data phases. In some companies, input data is totally missing, but even in projects where data is available it usually takes a considerable amount of time to analyze and prepare it for use in a simulation model. This paper presents one approach to the problem by implementing a software that automates several steps in the input data process such as extracting data from a database, sorting out the information needed and fitting the data to statistical distributions. The approach and the software have been developed based on a case study at Volvo Trucks in Gothenburg, Sweden. The work presented in this paper is part of a more comprehensive project called FACTS. The project scope is to develop methods and IT-tools for conceptual plant development.
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| 33. |
- Urenda Moris, Matías
(författare)
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Dealing with variability in the design, planning and evaluation of Healthcare inpatient units : a modelling methodology for patient dependency variations
- 2010
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- This research addresses the fluctuating demand and high variability in healthcare systems. These system’s variations need to be considered whilst at the same time making efficient use of the systems’ resources. Patient dependency fluctuation, which makes determining the level of adequate staffing highly complex, is among the variations addressed. Dealing with variability is found to be a key feature in the design, planning and evaluation of healthcare systems. Healthcare providers are facing increasing challenges resulting from an aging population, higher patient expectancies, a shortage of healthcare professionals, as well as increasing costs and reduced funding. Despite the accentuated need for effective healthcare systems and efficient use of resources, many healthcare organisations are inadequately designed and, moreover, poorly managed. Hospital systems consist of complex interrelations between relatively small units, each of which is sensitive to stochastic variations in demand. In addition to this aspect of the system view, a critical resource for the patients’ wellbeing and survival is the staffing level of nurses. This puts the planning and scheduling of human resources as one of the system’s foremost aims. Current tools for staffing and personnel planning in healthcare organisations do not take into consideration the workload variations that result from the variable nature of patient dependency levels.The work presents the empirical findings of a number of case studies conducted at a regional hospital in Sweden. Principles and practical suggestions for the robust system design of inpatient wards using Discrete Event Simulation (DES) have been identified. Although DES techniques have, in principle, all the features for modelling the variation and stochastic nature of systems, DES has not been previously used for workload studies of inpatient wards. The main contribution of this work is therefore how a combination of DES and the data of Patient Classification Systems (PCSs) can be used to model workload variations and, subsequently, plan the nurse staffing requirements in systems with high variability. The work presented gives step by step guidance in how the analysis and subsequent modelling of an inpatient ward should be carried out. It defines a novel modelling methodology for patient dependency variations and length of stay modelling of a patient’s dependency progression, including an adaptation to the ward’s discharge figures. The modelling approach opens a novel way of analysing and evaluating the system design of inpatient wards.
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| 34. |
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| 35. |
- Urenda Moris, Matías, et al.
(författare)
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Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet
- 2012
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Ingår i: Ingenieria Industrial. - : Universidad del Bio-Bio. - 0717-9103 .- 0718-8307. ; 11:1, s. 37-49
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Los ingenieros de producción buscan contínuamente configuraciones óptimas de sus sistemas productivos, con el fin de alcanzar el máximo rendimiento en los mismos. Este es un trabajo que consume mucho tiempo en la industria, y rara vez se le conceden los recursos necesarios para que las decisiones a tomar sean las acertadas. Para poder tomar estas decisiones de una manera más eficiente, es necesario disponer de herramientas nuevas e innovadoras.Este artículo presenta la segunda generación de FACTS Analyzer, una herramienta cuya función se basa en la integración de una variedad de metodologías y técnicas, incluyendo: el modelado rápido por medio de un nuevo concepto de agregación y funciones simplificadas, la generación de modelos de simulación de manera automática y optimización mediante simulación apoyada por una innovadora arquitectura basada en Internet. Dichas metodologías y técnicas permiten que la simulación sea mucho más fácil de utilizar, y aceleran el tiempo de diseño y desarrollo de modelos, la fase de experimentación y los procesos de optimización, con el fin de apoyar el proceso de toma de decisiones. FACTS Analyzer es el resultado de varios años de investigación y desarrollo, en estrecha colaboración con la industria automotriz en Suecia.
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| 36. |
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| 37. |
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| 38. |
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| 39. |
- Zafarzadeh, Masoud, 1987-
(författare)
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The transition to data-driven production logistics:Opportunities and challenges
- 2021
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- A data-driven approach is considered a viable means of dealing with thehigh degree of dynamics caused by the constant changes that occur withinproduction logistics systems. However, there is a dearth of knowledgeregarding the consequences of employing a data-driven approach inproduction logistics in real industrial environments. This thesis aims toextend the existing body of knowledge concerning the opportunities andchallenges of a transition to a data-driven state in relation to productionlogistics through investigating real industrial cases.In addition to reviewing the literature, this thesis aims to answer threeresearch questions. First, it seeks to determine how enabling technologiescontribute to value creation in a data-driven production logistics system.Second, it studies three industrial companies, analyses their productionlogistics flows and compares the tradition approach to a data-drivenapproach by means of discrete event simulation. Third, through interviewswith several experts with different competences who work for the casecompanies, it aims to identify the challenges associated with the transitionto a data-driven approach.The results show that following a systematic and balanced approach totechnology implementation is important with regard to value creation. Thepotential benefits include improved operational performance, improvedvisibility through real-time control and the possibility for dynamicscheduling and planning. The challenges associated with the transition canbe divided into two major categories: organisational and technical.Moreover, the identified challenges can be mapped against each step in theproduction logistics data life-cycle.Among the identified challenges, some represent potentially valuableavenues for future research. Investigating the possibilities for addressingthe data ownership challenge among stakeholders is one such avenue.Additionally, future studies could address the fact that the technologiesrelated to data analytics, such as artificial intelligence, big data andblockchain, lack a large-scale implementation history when compared withtechnologies such as radio frequency identification. Given the limitations ofprior studies, another possible research avenue involves analysing the dataanalytics use cases in more detail within real industrial environments.
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