Research on process optimized-decision-making of e-manufacturing for mass customization

Through analyzing some key features in process decision-making of e-manufacturing for mass customization, a multiple process planning method based on feature-decomposing and neighbor search technology was put forward to build up a process optimized-decision-making model, in which process clustering model based was adopted. To build up the clustering model, a part process description model based on weighted directed graph was presented. Further according to the criterion of lowest fluctuation of manufacturing cost, a part similarity distance model was put forward. Referring to these mathematical models, a prototype software system based on Java technology was designed and developed. Finally, a case is studied, which demonstrates that the model can rationally and effectively solve the process optimized-decision-making problem in e-manufacturing system for MC mechanism.