Abstract
In many manufacturing factories, an efficient inventory control has become important due to diversification, uncertainty and instability in consumers needs. This study is optimization of a production scheduling to improve control of inventory in an actual manufacturing company which produces various kinds of primitive parts. Here, we stabilize a fluctuation of warehouse utilization of each item in the current product line to make enough margin in the warehouse for new products. In addition, we minimize the number of times of a setup operation of a machine following switching of product for efficient running of machine. Based on the modeling, Genetic Algorithm (GA) is applied to generate a production schedule focusing on downhold of overproduction with holding stable product of supply against customer needs. The production schedules acquired by GA are compared with an actual production schedule obtained by experts. The effectiveness of GA is shown in the results and the discussions.
