Improved Fuzzy Genetic Algorithm-based Networked Manufacturing Alliance Member Selection
Networked manufacturing alliance is a virtual cooperation organization which consists of some core competence enterprises. Alliance member selection is the primary step to implement networked manufacturing. Through selection process analysis,alliance member selection is a multiobjective decision problem. The improved fuzzy genetic algorithm was used to design and analyze the member selection model. Then the combined optimization strategy can be obtained based on the quantitative evaluation factors: time T,quality Q,cost C and qualitative evaluation factors: service s,design ability D. In the process of solution,the conception of life was employed to control the population size. The crossover operator and mutation operator were controlled by fuzzy controller and fuzzy logic reasoning. In order to verify the presented model and algorithm,the improved fuzzy genetic algorithm was use to evaluate the real case. The simulation results showed that the algorithm had fast convergence and accorded with the real condition.
alliance member evaluation factor improved fuzzy genetic algorithm networked manufacturing selection process
Peng Wan Ke Jing Lianxin Ma Piye Yuan
Department of Management,Qingdao Technological University,Qingdao,P.R.China Department of Business Administration,Northeastern University,Shenyang,P.R.China
国际会议
北京
英文
1520-1524
2009-10-21（万方平台首次上网日期，不代表论文的发表时间）