Abstract
This paper proposes a new simultaneous process planning and scheduling method to solve dilemmas posed by conflict between optimality of a process plan and a production schedule using multi agent learning based on evolutionary artificial neural networks. The effectiveness of the proposed method is confirmed by solving a problem extended a benchmark problem by including larger volumes of products, thereby demonstrating high productivity resulting from role-sharing among machines. Results also show that the proposed method can achieve better results than other proposed methods.
