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Flexible supply network planning for hybrid shipment: a case study of memory module industry

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  • Li-Chih Wang
  • Chen-Yang Cheng
  • Wen-Kuan Wang

Abstract

The modern supply chain network has geographically spread out across the globe. The performance of a customer service level is highly dependent on the effectiveness of its supply chain planning. To improve the service provided to downstream customers, planners must not only decide order allocation among multiple distribution centres but also consider reducing the order-to-delivery time. Directed shipment delivery from manufacturing sites provides the flexibility of direct shipment; however, it also makes order allocation more difficult. In this study, a flexible supply network planning (FSNP) model based on integer linear programming is developed for the memory module industry. In addition to multisite order allocation planning, the FSNP model explicitly considers directed shipment from manufacturing sites for reducing the order-to-delivery time. Furthermore, the combination of characteristics of the memory module industry, such as multilevel and multisite production environments, multiple-to-multiple product structures, transportation and production lead times and capacity constraints, makes FSNP highly complicated. The results of the experiments reveal that the FSNP model improves supply chain planning regarding order due date and inventory and transportation costs.

Suggested Citation

  • Li-Chih Wang & Chen-Yang Cheng & Wen-Kuan Wang, 2016. "Flexible supply network planning for hybrid shipment: a case study of memory module industry," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 444-458, January.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:2:p:444-458
    DOI: 10.1080/00207543.2015.1133939
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