主催: The Institute of Systems, Control and Information Engineers
会議名: 2022国際フレキシブル・オートメーション・シンポジウム
開催地: Hiyoshi Campus, Keio University, Yokohama, Japan
開催日: 2022/07/03 - 2022/07/07
p. 49-54
In recent production systems, it is required to increase the profits while responding to various user's preferences and short due date. To deal with these situations, it is important to increase the factory productivity with production cost reduction. Our group focuses on the factory load adjustment by using outsourced factories and adjusting the number of usage machines in the factory in order to improve the productivity and reduce the production cost. In previous our work, the production scheduling method using a linear weighted sum technique was proposed for minimizing the tardiness and reducing the production cost. However, in the previous method, it was difficult to adjust the appropriate weighted parameters and to evaluate the tardiness and production cost directly. In this proceeding, the multi-objective production scheduling method using a simulated annealing technique is proposed for solving the previous issues and presenting the various possibilities of factory load adjustment. In the computational experiments for flexible job shop scheduling problem, the ability of proposed method is evaluated.