Artikel
Optimisation of assembly scheduling in VCIM systems using genetic algorithm
Assembly plays an important role in any production system as it constitutes a significant portion of the lead time and cost of a product. Virtual computer-integrated manufacturing (VCIM) system is a modern production system being conceptually developed to extend the application of traditional computer-integrated manufacturing (CIM) system to global level. Assembly scheduling in VCIM systems is quite different from one in traditional production systems because of the difference in the working principles of the two systems. In this article, the assembly scheduling problem in VCIM systems is modeled and then an integrated approach based on genetic algorithm (GA) is proposed to search for a global optimised solution to the problem. Because of dynamic nature of the scheduling problem, a novel GA with unique chromosome representation and modified genetic operations is developed herein. Robustness of the proposed approach is verified by a numerical example.
- Sprache
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Englisch
- Erschienen in
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Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 13 ; Year: 2017 ; Issue: 2 ; Pages: 275-296 ; Heidelberg: Springer
- Klassifikation
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Management
- Thema
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Optimisation
Assembly scheduling
Hard precedence constraint
Virtual computer-integrated manufacturing
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dao, Son Duy
Abhary, Kazem
Marian, Romeo
- Ereignis
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Veröffentlichung
- (wer)
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Springer
- (wo)
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Heidelberg
- (wann)
-
2017
- DOI
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doi:10.1007/s40092-017-0183-0
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Dao, Son Duy
- Abhary, Kazem
- Marian, Romeo
- Springer
Entstanden
- 2017
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