Host: The Institute of Systems, Control and Information Engineers
Name : 2018 International Symposium of Flexible Automation
Location : Kanazawa Chamber of Commerce and Industry, Kanazawa Japan
Date : July 15, 2018 - July 19, 2018
Pages 187-190
Production style has been changed from high-volume low-variety production to low-volume high-variety production. On the other hand, customers require manufacturing companies to make the desired products quickly. It is important to consider the usage plan of material resources to carry out the production schedule. Lacking parts should not be allowed when the production is started.
This study defines parts ordering planning which decides parts order quantity and ordering time. The evaluation criteria of the ordering parts planning are multiple. This study proposes a parts ordering method, for multi-objective combinatorial optimization approach. A proposed method uses Combinatorial Auction. There is the case that there are some feasible solutions of Winner Determination Problem. The proposed method obtains multiple feasible solutions in iteration, checks whether the solutions are included in a set of Pareto solutions or not, and renews the set of Pareto solutions. Computational experiment is conducted to evaluate the proposed method.
