A Decision Making Model for Vendor-Buyer Inventory Systems

  • Authors:

  • Hui-Ming Wee;Jie Lu;Guangquan Zhang;Huai-En Chiao;Ya Gao

  • Affiliations:

  • Decision Systems & e-Service Intelligence (DeSI) lab, Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering & Information Technology, University of Technology Sydney, ...;Decision Systems & e-Service Intelligence (DeSI) lab, Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering & Information Technology, University of Technology Sydney, ...;Decision Systems & e-Service Intelligence (DeSI) lab, Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering & Information Technology, University of Technology Sydney, ...;Department of Industrial and Systems Engineering, Chung Yuan Christian University, Chungli, Taiwan, ROC 32023;Decision Systems & e-Service Intelligence (DeSI) lab, Centre for Quantum Computation & Intelligent Systems (QCIS), Faculty of Engineering & Information Technology, University of Technology Sydney, ...

  • Venue:
  • RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
  • Year:
  • 2009

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Abstract

In a vendor-buyer supply chain, the buyer's economic order quantity and the vendor's optimal number of deliveries are derived either independently or collaboratively. In this paper, we establish a two-stage vendor-buyer inventory system decision model by using bi-level decision making approach. The experimental result shows that the proposed bi-level decision model can effectively handle two-stage vendor-buyer inventory problems and obtain better results than the existing methods.