A dynamic heuristic-based algorithm to part input sequencing in flexible manufacturing systems for mass customization capability

In the increasingly competitive global markets, enterprises face challenges in responding to customer orders quickly, as well as producing customized products cost-effectively. This paper proposes a dynamic heuristic-based algorithm for the part input sequencing problem of flexible manufacturing sys...

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Veröffentlicht in:International journal of flexible manufacturing systems Jg. 19; H. 4; S. 392 - 409
Hauptverfasser: He, Yumin, Smith, Milton L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Boston Springer Nature B.V 01.12.2007
Schlagworte:
Algorithms
Customization
Flexible manufacturing systems
Heuristic
Mathematical programming
Production planning
Ratios
Studies
Supply chains
Workloads
ISSN:0920-6299, 1936-6582, 1572-9370, 1936-6590
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Zusammenfassung:In the increasingly competitive global markets, enterprises face challenges in responding to customer orders quickly, as well as producing customized products cost-effectively. This paper proposes a dynamic heuristic-based algorithm for the part input sequencing problem of flexible manufacturing systems (FMSs) in a mass customization (MC) environment. The FMS manufactures a variety of parts, and customer orders arrive dynamically with order size as small as one. Segmental set functions are established in the proposed algorithm to apply the strategy of dynamic workload balancing, and the shortest processing time (SPT) scheduling rule. Theoretical analysis is performed and the effectiveness of the algorithm in dynamic workload balancing under the complex and dynamic environment is proven. The application of the algorithm is illustrated by an example. The potential of its practical applications to the FMSs in make-to-order (MTO) supply chains is also discussed. Further research is provided. [PUBLICATION ABSTRACT]
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ISSN:0920-6299
1936-6582
1572-9370
1936-6590
DOI:10.1007/s10696-008-9045-9