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  • 學位論文

供應商評選模式建置與生產規劃-考量組裝次序與生產不良率

Suppliers Selection Model Construction and Production Planning-Assembly Sequence Planning and Defective Rate

指導教授 : 王河星
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摘要


在現今消費者需求變動快速的環境下,工廠必須快速的生產出消費者所需要的商品才有競爭力,而在講求分工合作的趨勢下,供應鏈管理已經相當重要的管理領域,而供應商評選更是供應鏈管理中的重要環節,供應商評選的文獻相當多,本研究參照以前學者的文獻所提到的評選準則,建構出一供應商評選模式,並在模式中加入了時窗限制,增加評選模式的完整性。而在工廠本身生產活動的部分,為單一組裝廠的生產規劃。而在產品的部分,以往的文獻大多是將產品數目假設為單產品,但是以實際情況來看,此假設並不符合事實,工廠大多是生產多種產品,所以本研究以多產品為研究方向,加入組裝次序規劃與生產線平衡,建構出單廠生產的多目標最佳化數學模式。而在生產規劃當中,生產出不良品是相當常見的狀況,為了處理生產不良率的問題,本研究在多目標最佳化數學模式上加入了穩健最佳化的機制,將生產不良率納入考量。而面對如此龐大的數學模式,本研究最後將整合引導式基因演算法與NSGA-II演算法,對整個模式進行求解,最後將此模式建置成一個決策系統,讓決策者以更有效率的方式做出決策。

並列摘要


Nowadays, the customer’s demand varies fast. The factory must produce product that customer need. Moreover, the globalization make the collaboration between factories become more and more important. In this case, supply chain management and suppliers selections play a key role in production. This study base on the suppliers selection criteria, construct a suppliers selection model. Additionally, this study adds time windows constraints into the suppliers selections model. On the other hand, in the part of production planning, most of the past researches assume that one factory produce one product. Actually, this assumption is not conform with the reality. To improve the assumption, this study assume that one factory produce multi-products. In addition, this study adds assembly sequence planning and assembly line balancing into production planning. For the completeness, this study adds robust optimization based on the defective rate in production planning, increases the robustness of the solutions. In the end, this study combine Guided GA and NSGA-II to solve suppliers selection and production planning and construct them into a system, let the leader make decision fast and effectively.

參考文獻


[1] A. Ben-Tal and A. Nemirovski, "Robust solutions of uncertain linear programs," Operations Research Letters, vol. 25, no. 1, 2000, pp. 1-13.
[2] A. L. Soyster, "Convex programming with set-inclusive constraints and applications to inexact linear programming," Operations Research, vol. 21, no. 5, 1973, pp. 1154-1157.
[3] A. S. Simaria and P. M. Vilarinho, "2-ANTBAL: An ant colony optimisation algorithm for balancing two-sided assembly lines," Computers & Industrial Engineering, vol. 56, no. 2, 2009, pp. 489-506.
[5] A. Sedeno-Noda, D. A. L. de Pablo and C. Gonzalez-Martin, "A network flow-based method to solve performance cost and makespan open-shop scheduling problems with time-windows," European Journal of Operational Research, vol. 196, no. 1, 2009, pp. 140-154.
[6] A. Yolmeh and F. Kianfar, "An efficient hybrid genetic algorithm to solve assembly line balancing problem with sequence-dependent setup times," Computers & Industrial Engineering, vol. 62, no. 4, 2012, pp. 936-945.

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