An Implementation of Genetic Algorithm Optimized Fuzzy System on JIT for Waste Reduction of Automobile Spare Parts

JIT is not just a philosophy but an actual process. The core JIT philosophy is to achieve the performance of activities based on immediate need or demand. JIT can be applied not just in the manufacturing area, but it also can be broadly used as a process that is designed to assist companies in operating cost, reduce their energy usage, processing times and material. This paper explores that JIT (Just- in-time) System is used as a process in order to achieve high performance level. A JIT System is an inventory management philosophy aimed at reducing waste and redundant inventory by delivering products, components, or materials just when an organization needs them. In this paper optimized JIT is proposed in order to optimize the wastage in stock preserving for automobile spare parts and to dynamic scheduling of deliveries to reach customer satisfaction level.