Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (4): 591-594+599.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Multi-objective robust operation model for a supply chain with credit period uncertainty

Yu, Li-Ping (1); Xu, Jia-Wang (2); Huang, Xiao-Yuan (1)   

  1. (1) School of Business Administration, Northeastern University, Shenyang 110819, China; (2) School of Economy and Management, Shenyang Aerospace University, Shenyang 110136, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Yu, L.-P.
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Abstract: The effect of trade credit on supply chain product and cash flow was determined, with variations in the credit period described by using an interval uncertainty method. A multi-objective robust operation model was established using a robust linear programming approach in an uncertain credit period for a multi-product and multi-period supply chain involving one producer and one supplier. A numerical example was used to verify the proposed model, and the optimum robust operating strategy was determined for worst case supply chain conditions during an uncertain credit period. When robust measures were adopted in the objectives of supply chain coordination and profit was maximized for all participants, the effect of credit period uncertainty on objective values decreased significantly.

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