A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing

Damian Krenczyk; Bozena Skolud; Anna Herok

doi:10.1007/978-3-319-64465-3_10

A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing

Department of Engineering Processes Automation and Integrated Manufacturing Systems (RMT/RMT2)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Citations (Scopus)

Abstract

Industry 4.0 is focused on creating smart products, procedures and processes and calls for the need to create fully dynamic reconfiguration production lines in which products move autonomously through the system from one available resource to another. Planers should be equipped with the methods and IT tools required to develop a complex planning and explanatory models to control and re-configure manufacturing resource networks and production flow based on situation. In this paper a heuristics and simulation based approach for balancing of mixed and multi model assembly line is presented. The proposed IT solution is a computer hybrid implementation of combined data-driven automatic simulation models generation and heuristic for line balancing methods. A computer implementation of the proposed solution using the FlexSim simulation software with a practical example of its application are presented as well.

Original language	English
Title of host publication	Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Editors	Anna Burduk, Dariusz Mazurkiewicz
Publisher	Springer Verlag
Pages	99-108
Number of pages	10
ISBN (Print)	9783319644646
DOIs	https://doi.org/10.1007/978-3-319-64465-3_10
Publication status	Published - 2018
Event	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 - Wroclaw, Poland Duration: 28 Sept 2017 → 29 Sept 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	637
ISSN (Print)	2194-5357

Conference

Conference	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Country/Territory	Poland
City	Wroclaw
Period	28/09/17 → 29/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Assembly line balancing
Automatic model generation
Data mapping
Data transformation
Data-driven
Factory 4.0
Mixed-model
Simulation

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-64465-3_10

Cite this

Krenczyk, D., Skolud, B., & Herok, A. (2018). A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. In A. Burduk, & D. Mazurkiewicz (Eds.), Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 (pp. 99-108). (Advances in Intelligent Systems and Computing; Vol. 637). Springer Verlag. https://doi.org/10.1007/978-3-319-64465-3_10

Krenczyk, Damian ; Skolud, Bozena ; Herok, Anna. / A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. editor / Anna Burduk ; Dariusz Mazurkiewicz. Springer Verlag, 2018. pp. 99-108 (Advances in Intelligent Systems and Computing).

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abstract = "Industry 4.0 is focused on creating smart products, procedures and processes and calls for the need to create fully dynamic reconfiguration production lines in which products move autonomously through the system from one available resource to another. Planers should be equipped with the methods and IT tools required to develop a complex planning and explanatory models to control and re-configure manufacturing resource networks and production flow based on situation. In this paper a heuristics and simulation based approach for balancing of mixed and multi model assembly line is presented. The proposed IT solution is a computer hybrid implementation of combined data-driven automatic simulation models generation and heuristic for line balancing methods. A computer implementation of the proposed solution using the FlexSim simulation software with a practical example of its application are presented as well.",

keywords = "Assembly line balancing, Automatic model generation, Data mapping, Data transformation, Data-driven, Factory 4.0, Mixed-model, Simulation",

author = "Damian Krenczyk and Bozena Skolud and Anna Herok",

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Krenczyk, D , Skolud, B & Herok, A 2018, A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. in A Burduk & D Mazurkiewicz (eds), Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. Advances in Intelligent Systems and Computing, vol. 637, Springer Verlag, pp. 99-108, 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017, Wroclaw, Poland, 28/09/17. https://doi.org/10.1007/978-3-319-64465-3_10

A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. / Krenczyk, Damian ; Skolud, Bozena; Herok, Anna.
Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. ed. / Anna Burduk; Dariusz Mazurkiewicz. Springer Verlag, 2018. p. 99-108 (Advances in Intelligent Systems and Computing; Vol. 637).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Industry 4.0 is focused on creating smart products, procedures and processes and calls for the need to create fully dynamic reconfiguration production lines in which products move autonomously through the system from one available resource to another. Planers should be equipped with the methods and IT tools required to develop a complex planning and explanatory models to control and re-configure manufacturing resource networks and production flow based on situation. In this paper a heuristics and simulation based approach for balancing of mixed and multi model assembly line is presented. The proposed IT solution is a computer hybrid implementation of combined data-driven automatic simulation models generation and heuristic for line balancing methods. A computer implementation of the proposed solution using the FlexSim simulation software with a practical example of its application are presented as well.

AB - Industry 4.0 is focused on creating smart products, procedures and processes and calls for the need to create fully dynamic reconfiguration production lines in which products move autonomously through the system from one available resource to another. Planers should be equipped with the methods and IT tools required to develop a complex planning and explanatory models to control and re-configure manufacturing resource networks and production flow based on situation. In this paper a heuristics and simulation based approach for balancing of mixed and multi model assembly line is presented. The proposed IT solution is a computer hybrid implementation of combined data-driven automatic simulation models generation and heuristic for line balancing methods. A computer implementation of the proposed solution using the FlexSim simulation software with a practical example of its application are presented as well.

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Krenczyk D , Skolud B, Herok A. A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. In Burduk A, Mazurkiewicz D, editors, Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017. Springer Verlag. 2018. p. 99-108. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-64465-3_10

A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this