以類生產線平衡技術建構供應鏈網路夥伴選擇模式

供應鏈是指由供應商、倉儲、生產製造到客戶一連串的商業活動總稱。供應鏈的管理是在幫助企業間的協同整合，從上游的供應商網路到下游的客戶端，建立一個資訊整合、資訊分享的協同合作機制。在這個高度資訊化的時代，企業必須朝向全球化的經營型態才能生存，在面對競爭時，企業不僅要能提高本身的產能及速度，更應該將上下游供應商整合進生產程序內，導入供應鏈管理的觀念。若要能發揮供應鏈的整體最大效益，則有賴於供應商組合的最佳化。然而，供應鏈網路中的夥伴選擇是屬於一種複雜的問題，而且並沒有絕對適合的求解方式。目前的供應鏈網路其組織規模龐大，為了增加企業的競爭力使得企業必須選擇在不同地區設廠，也因為全球化及國際化的因素，導致每一個中心廠所各自擁有的衛星供應商也散佈在各地，所以如何讓中心廠在短的時間內就可以找到最佳的供應商組合，並且降低總延遲損失成本進而使得總成本最小，將直接影響中心廠的整體競爭力。因此，本研究將在供應鏈網路中應用類生產線平衡的技術及針對供應商的生產時間、運輸時間，考慮在總延遲損失成本最小的情形下建構一個符合供應鏈總成本最少的夥伴選擇數學模式，並且使用遺傳演算法（Genetic Algorithms）透過求其最小適應函數（Fitness Function）的機制建立一個最佳供應鏈網路之供應商組合的系統模組，經由此模組的建立將可提供供應鏈網路衛星中心廠商在評選優良供應夥伴時，協助其決策之進行。

關鍵字

生產線平衡；傳演算法；運輸時間；供應鏈遺

並列摘要

The supply chain is the serial of the process composed by the supplier、the storage、the producer and the customer. The management of the supply chain is to help the coordinated integration among the enterprises. From the upstream supplier network to the downstream customer side, it constructs the coordination mechanism in the information integration and the sharing of information. To achieve the greatest benefit in the whole of the supplier network depends on the optimization of combination in the suppliers. However, the partner selection in the network of the suppliers is a kind of complicated problem, and there is no absolutely a suitable solving way. So this study will apply the Assembly Line Balance technology to build a partner selection model of the supply chain network, and to construct a mathematics model of the partner selection in the supply chain for the transportation time among the suppliers. Using the Genetic Algorithms to find the smallest Fitness Function produces the optimum combination of the suppliers in the supply chain network. By the partner selection in the supply chain will produce a effective operation with the satellite centre manufacturers.

並列關鍵字

Genetic Algorithms ； Supply Chain ； Assembly Line Balance

參考文獻

6. 陳啟政(2003)，「運用總品質成本分析之供應商績效評估模式」，中原大學工業工程學系博士論文。

1. Ana Sofia Simaria and Pedro M.Vilarinho(2004),“A genetic Algorithm Based Approach to the Mixed-model Assembly Line Balancing Problem of Type Ⅱ,”Computers & Industrial Engineering,pp391-407.

4. Cheng, R., Gen, M. and Tsujimura, Y.(1996),“A Tutorial Survey of Job-shop Scheduling Problems Using Genetic Algorithms,” International Journal of Computersand Industrial Engineering,Vol.30,No.4,pp.983-997.

5. Christopher, M.(1992), “Logistics and Supply Chain Management : Strategies for Reducing Cost and Improving Service,” Pitman, London.

8. Ghodsypour, S. H. and O’Brien, C.(1998),“A Decision Support System for Supplier Selection Using an Integrated Analytic Hierarchy Process and Linear Programming,” International Journal of Production Economics, 56-57, 199-212.

國際替代計量

以類生產線平衡技術建構供應鏈網路夥伴選擇模式

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