Genetic algorithm for solving self-reconfiguration of process route in knowledgeable manufacturing

This paper considers a self-reconfiguration of process route in knowledgeable manufacturing system (KMS). To minimize the work-in-process (WIP) and the number of process operations reassigned among the different machines, a new model of process routing self-reconfiguration was constructed on the premise of satisfying production rate, operation precedence and operation-machine assignment constraints. An improved Pareto genetic algorithm was proposed. A case study was presented to demonstrate the effectiveness of the model and algorithm, and the result provides the decision maker with several optional process route plans.