Research On Model And Algorithm For Collaborative Manufacture Partners Selection

With rapid development of information technology and economical globalization, the operation of enterprises has gone through a drastic revolution. The competition between companies has been changing from the quality and service of the product to the corporate performance of the companies and their collaborators. To make voice to the challenge of knowledge economic and economical globalization, collaborative manufacture network is an advanced manufacture technology responding to the market requirement and improving the enterprise competition. The problem of the partner selection is very vital, which directly affects the result of the enterprise.First of all, the dissertation analyses the collaborative manufacture network'cause of formation, advantage, risk etc in different research view (Core competence theory, Transaction cost theory, Principle agent theory, Social exchange theory, Resource dependence theory, Synergetic theory) and demonstrates that the essential of the collaborative manufacture network are improving the core competence and reducing the cost in the view of organizational form and operational mode, which establish the theoretic base of the partners selection. Secondly, a three-step model of partner selection is built based on the summarization of the existing models. Thirdly, evaluation indexes system is systemically designed by the literature statistic analysis and questionnaire investigation. Fourthly, establish the model of core competence recognize, the example test shows that the fuzzy decision arithmetic is the more effective one. Fifthly, establish the model of optimize combination, genetic algorithm combined with simulated annealing algorithm is applied, and the algorithm is tested in Delphi7.0 showing that such an approach is fairly effective, which supply an operable method for partner selection.