Cooperator selection and industry assignment in supply chain network with line balancing technology

Authors:
Zhen-Guo Che;Z. H. Che;T. A. Hsu
Affiliations:
Institute of Information Management, National Chiao Tung University, 1001, University Rd., Hsinchu 300, Taiwan, ROC;Department of Industrial Engineering and Management, National Taipei University of Technology, 1, Sec. 3, Chung-Hsiao E. Rd., Taipei 106, Taiwan, ROC;Department of Management Information System, Chung Yuan Christian University, 200, Chung-Pei Rd., Jhongli City, Taoyuan County 32023, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

Losses from cooperator delivery delay may greatly undermine the supply chain network performance leading to losses in the increased business cost. This paper mainly discusses and explores how to create the optimized cooperators and industry sets intelligently in the supply chain network. A mathematical model and a genetic algorithm solving model for cooperator selection and industry assignment in supply chain network are presented to minimize the total delivery delay loss. The mathematical model based on the line balancing technology since the supply chain network can be treated as the extension of assembly production line can be used as a foundation for further practical development in the design of supply chain network. The genetic algorithm solving model is adopted to get a satisfactory near-optimal solution with great speed. The application results in real cases show that the solving model presented by this research can quickly and effectively plan the most suitable type of the cooperators and industry sets in supply chain network.