Research of Agile Virtual Enterprise established based on combinatorial optimization model

Abstract

Partner selection is the critical section to the success and survival of forming and running the Agile Virtual Enterprise (AVE). This paper studies how to select the partners in an AVE can be assisted through the three phase combinatorial optimization model which can not only select good partners, but also receive the best match combination between partners of all processes. Firstly, partners are originally selected to narrow the range of potential partners. Secondly, priority of partners in all sub-tasks evaluated by triangular fuzzy number-based two-class fuzzy comprehensive evaluation is the prerequisite of the optimized combination that executed by the Ant Colony Algorithm (ACA). The ACA can select sections from the residual information adaptively to improve global search ability. Lastly, the study gives an example and its simulation result under MATLAB.