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題名 | Applying and Comparing Four Different PSO Approaches in Integrated Problem of Product Change Planning, Part Supplier Selection, and Quantity Allocation=應用及比較四種PSO方法於整合產品變更計劃、零件供應商選擇及數量配置問題 |
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作者 | 王河星; 車振華; Wang, Her-shing; Che, Zhen-hua; |
期刊 | 工業工程學刊 |
出版日期 | 20090300 |
卷期 | 26:2 2009.03[民98.03] |
頁次 | 頁87-98 |
分類號 | 494.5 |
語文 | eng |
關鍵詞 | 產品型態變更; 供應商選擇; 數量分配; 數量折扣; 粒子群演算法; Product configuration change; Supplier selection; Quantity allocation; Quantity discount; Particle swarm optimization algorithm; |
中文摘要 | 關於產品型態變更策略選擇之過往研究常忽略零件供應情形,因而導致原本於製造過程中已完之變更策略無法繼續實行。因此,本研究著重於建立一最佳化評量模式,於評估產品變更時,同時考量供應商選擇及數量折扣機制。本研究並發展四種粒子群演算法--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)-進行最佳化模式求解,並以external Hard Disk Drive (HDD)爲案例進行求解效能比較。結果顯示,於本研究所探討的問題中,PSO-CF具有較優異之演算效能。 |
英文摘要 | 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. |
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