FMS scheduling using Neural networks: A review

A Flexible Manufacturing System is developed usually for the system´s entire life cycle. It has to deal with the changing system environment (dynamic environment) and therefore requires being flexible. In this paper, the approach of Neural network implementation has been reviewed for FMS Scheduling. Neural network approach provides adaptability and learning capabilities to the systems. Also, a brief introduction regarding Artificial Neural Network and its implementation in scheduling so far is discussed. Due to limitations of using ANN alone, hybrid networks came into implementation in scheduling. The paper concludes with the applications where ANN alone is suitable to be used and where other intelligent systems such as expert systems, GA, Fuzzy and also Hybrids can be used to improve the performance of the manufacturing systems.