Use genetic algorithm in production and inventory strategy

This paper is to study when enterprises facing time varying and from a single supplier. The availability of the supply may face natural disaster, labor strike, production defects, mechanical failures, or other impact events. This research was to establish a model to solve the dynamic problems in between production and inventory. Use genetic algorithm to reduce the overall average cost. According to the different ordering policy to determine production cycle to evaluate performance in order to find the optimal policy is not only to balance production and inventory levels, also maintain finished products and raw materials in reasonable levels.