APPLYING AND COMPARING FOUR DIFFERENT PSO APPROACHES IN INTEGRATED PROBLEM OF PRODUCT CHANGE PLANNING, PART SUPPLIER SELECTION, AND QUANTITY ALLOCATION

摘要

Previous studies on strategy selection of product configuration changes often ignored part supplies, resulting in disruptions to the execution of modification strategies during the manufacturing process. Therefore, this study focuses on an optimization assessment of simultaneous product changes in order to establish a mathematical model, which included supplier selection, coupled with quantity discounts from each part supplier. For instance, this study used external Hard Disk Drive (HDD) enclosures; we designed models using Particle Swarm Optimization-Original (PSO-O), Particle Swarm Optimization-Inertia Weight (PSO-IW), Particle Swarm Optimization-Constriction Factor (PSO-CF), Particle Swarm Optimization-Dynamically Changing Inertia weight (PSO-DW), and then compared the efficiency of the strategies obtained by the four methods. Results showed that PSO-CF was more efficient than the other three methods for this problem.