具產能限制情境之組裝規劃及供應商評選

本研究著重於考量產能限制之多廠多產品供應商評選問題，並將組裝次序規劃與組裝作業分派技術運用於整體供應鏈生產規劃上，以找出最適供應商組合及生產資源分配。研究中將建置多目標最佳化模式，並發展一改良式多目標演算法，進行最佳化模式求解。使中心組裝廠於接獲多產品訂單後，在考量產能限制條件下，規劃出最適之多產品零件供應商組合、各組裝廠產量計劃、各供應商至各組裝廠間之運送計畫等。此改良式演算主要以NSGA-II為基，於初始解產生時加入最多後續作業數及最大作業時間演算及判斷機制，以改善NSGA-II之求解效率，其被稱為W-NSGA2。最後W-NSGA2被導入水龍頭組裝作業之案例，並與NSGA-II和NSPSO進行求解績效比較。結果顯示W-NSGA2具有較佳之演算結果。

關鍵字

供應商評選；組裝次序規劃；產能限制

並列摘要

This study focuses on the production planning in supply chain system with multiple plants of multi products. The optimal suppliers combination and production resource allocation are decided in this production plan with introducing the assembly sequence planning and operation assignment technologies. In this study, a multi-objective optimization model is developed and a modified multi-objective algorithm is proposed to solve the optimization model, The solving results show that the optional suppliers combination, production plan for each assembly plant and transportation plant between supplier and plant when the central assembly plant receives the order with considering the capacities of plants. The modify algorithm is based in NSGA-II, is called W-NSGA2, which introduces the mechanisms of maximum number of follower tasks and maximum task time to the initial solution generation to enhance the solving performance of NSGA-II. Finally, the case of tap assembly operations is used to compare the solving performance among W-NSGA2, NSGA-II, and NSPSO. The results show that the W-NSGA2 has the best solution quality for the proposed problems.

並列關鍵字

Supplier Selection ； Assembly Sequence Planning ； Limited Capacity

參考文獻

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[3] Boothroyd G., Dewhurst P. and Knight W., "Product design for manufacturing and assembly," Computer-Aided Design, Vol. 6, No. 6, 1994, pp. 505-520.

[4] Chen C. T., Lin C. T. and Huang S. F., "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Vol. 102, No. 2, 2006, pp. 289-301.

[5] Chen R. S., Lu K. Y. and Yu S. C., "A hybrid genetic algorithm approach on multi-objective of assembly planning problem," Engineering Applications of Artificial Intelligence, Vol. 15, 2002, pp. 447-457.

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具產能限制情境之組裝規劃及供應商評選

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