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Partner selection model and soft computing approach for dynamic alliance of enterprises
引用本文:汪定伟,容启亮,叶伟雄. Partner selection model and soft computing approach for dynamic alliance of enterprises[J]. 中国科学F辑(英文版), 2002, 45(1): 68-80. DOI: 10.1360/02yf9006
作者姓名:汪定伟  容启亮  叶伟雄
作者单位:WANG Dingwei,K. L. Yung & W. H. Ip1. Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110015,China;2. Department of Manufacturing Engineering,The Hong Kong Polytechnic University,Hong Kong,China
基金项目:This work was partly supported by the National Natural Science Foundation of China (Grant Nos.69974039, 60084003) and the National High-Tech Program (Grant No. 863-511-9844-011) of China and partly by the Hong Kong Polytechnic University research grant(G
摘    要:Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the solution space is reduced by defining the inefficient candidate. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded genetic algorithm. We compare the algorithm with tranditional methods. The results show that the suggested approach can quickly achieve optimal solution for large size problems with high probability. The approach was applied to the partner selection problem of a coal fire power station construction project. The satisfactory results have been achieved.


Partner selection model and soft computing approach for dynamic alliance of enterprises
WANG Dingwei,K. L. Yung , W. H. Ip. Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang ,China. Partner selection model and soft computing approach for dynamic alliance of enterprises[J]. Science in China(Information Sciences), 2002, 45(1): 68-80. DOI: 10.1360/02yf9006
Authors:WANG Dingwei  K. L. Yung & W. H. Ip. Shenyang Institute of Automation  Chinese Academy of Sciences  Shenyang   China
Affiliation:1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110015, China
2. Department of Manufacturing Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Abstract:Partner selection is an active research topic in agile manufacturing and supply chain management. In this paper, the problem is described by a 0-1 integer programming with non-analytical objective function. Then, the solution space is reduced by defining the inefficient candidate. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded genetic algorithm. We compare the algorithm with tranditional methods. The results show that the suggested approach can quickly achieve optimal solution for large size problems with high probability. The approach was applied to the partner selection problem of a coal fire power station construction project. The satisfactory results have been achieved.
Keywords:aglie manufacturing   dynamic alliance   partner selection   soft computing   fuzzy logic   genetic algorithm .gorithm.
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