International Journal of the Computer, the Internet and Management (IJCIM)
In this paper, the authors propose a systematical scheme to form manufacturing fuzzy rule knowledge-based system and then to construct the dispatching fuzzy rules of jobs and vehicles in order to enhance manufacturing system operations. The manufacturing fuzzy rule knowledge-based system can assist production managers in response to the dynamics intelligently and rapidly. Owing to the quantizing qualitative information ability of fuzzy set theory, fuzzy rule knowledge-based systems are employed in exhibiting expert knowledge. The fuzzy neural network ANFIS (Adaptive Network-based Fuzzy Inference Systems) serve as learning mechanism to train the manufacturing fuzzy rule knowledge.