Research on Agile Virtual Enterprises Selection and Optimization in Project Management
How to make combination of agile virtual enterprises optimal is one of the key problems in project management. Due to complexity of member selection process, this paper proposed a mathematical model of enterprises selection and optimization based on genetic algorithm and analytic hierarchy process. The weights for every weight can be determined by analytic hierarchy process and the candidate manufacturing enterprises can be optimized by an improved genetic algorithm, which the crossover operator was improved and put forward a kind of correction strategy for chromosome. At last, a typical simulation case was given and illustrated the models validity.
genetic algorithm analytic hierarchy process project management manufacturing enterprises
Yue Tao Shi Min Zhou Jingtao Wang Mingwei Zhang Rongxia
Mechanical Engineering Northwestern Polytechnical University xian,710072, China The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology (Northwestern Poly The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology (Northwestern Poly
国际会议
太原
英文
275-279
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)