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

Katedra Automatyzacji Procesów Technologicznych i Zintegrowanych Systemów Wytwarzania (RMT/RMT2)

Silesian University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

22 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Redaktorzy	Anna Burduk, Dariusz Mazurkiewicz
Wydawca	Springer Verlag
Strony	99-108
Liczba stron	10
ISBN (drukowany)	9783319644646
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-64465-3_10
Status publikacji	Opublikowano - 2018
Wydarzenie	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 - Wroclaw, Polska Czas trwania: 28 wrz 2017 → 29 wrz 2017

Seria publikacji

Nazwa	Advances in Intelligent Systems and Computing
Tom	637
ISSN (drukowany)	2194-5357

Konferencja

Konferencja	1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Kraj/Terytorium	Polska
Miejscowość	Wroclaw
Okres	28/09/17 → 29/09/17

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów
Informatyka ogólna

Uzyskaj dostęp do dokumentu

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

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

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

@inproceedings{63be023b2e9e4caaa06df894a5b7ad69,

title = "A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing",

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",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 ; Conference date: 28-09-2017 Through 29-09-2017",

year = "2018",

doi = "10.1007/978-3-319-64465-3\_10",

language = "English",

isbn = "9783319644646",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "99--108",

editor = "Anna Burduk and Dariusz Mazurkiewicz",

booktitle = "Intelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017",

address = "Germany",

}

Krenczyk, D , Skolud, B & Herok, A 2018, A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. w A Burduk & D Mazurkiewicz (red), 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, tom 637, Springer Verlag, str. 99-108, 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017, Wroclaw, Polska, 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. red. / Anna Burduk; Dariusz Mazurkiewicz. Springer Verlag, 2018. str. 99-108 (Advances in Intelligent Systems and Computing; Tom 637).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

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Y1 - 2018

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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KW - Data mapping

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Krenczyk D , Skolud B, Herok A. A heuristic and simulation hybrid approach for mixed and multi model assembly line balancing. W Burduk A, Mazurkiewicz D, redaktorzy, 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. str. 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

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie