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  • 學位論文

多次投料問題在中斷式幾何分配下之研究

Multiple Lot Sizing Decisions with Interrupted Geometric Yield

指導教授 : 許錫美

摘要


本論文探討有交期限制的多次投料問題:首先探討生產週期時間具不確定性,單階段生產系統的多次投料問題;隨之探討二階段生產系統的多次投料問題。二階段生產系統在每個生產階段之後,皆設有檢驗站,在每個投料時點,藉由每個階段的良品在製品數量與未滿足的需求量,須同時決定各階段的投料量。本研究假設各階段產出的良品個數服從中斷式幾何分配,成本函數考慮設置成本、變動成本、成品存貨持有成本及缺貨成本四項。以最小生產成本為目標,提出最佳投料量的特性,基於此特性,來設計動態規劃演算法,以求解各階段的最佳投料量。針對二階段生產系統的多次投料問題,在需求量較大時,我們提出一個啟發式演算法,可以有效地求得滿意解。最後,藉由數值範例來觀察決策參數的特性與最佳投料量的特性。

並列摘要


In this study, we examine two issues of multiple lot-sizing problem with interrupted geometric yield and non-rigid demand. Firstly, we investigate a single-stage multiple lot-sizing problem with variable production lead-time. Secnodly, we investigate a two-stage multiple lot-sizing problem with simultaneously determining the optimal lot sizes for the two production stages in each period. The following cost items are considered in these problems: setup cost, variable production cost, inventory holding cost, and shortage cost. These problems are formulated as a dynamic program (DP), respectively, and some lemmas are proposed to confine their solution spaces. We propose a heuristic solution method to solve the two-stage multiple lot-sizing problem for reducing the computational time. Finally, numerical examples are illustrated to shown the efficiences of the proposed heuristic method.

參考文獻


[1] Anily, S., “Single machine lot sizing with uniform yields and rigid demands: robustness of the optimal solution,” IIE Transactions, 27, 625-633, 1995.
[2] Anily, S., A. Beja, and A. Mendel, “Optimal lot sizes with geometric production yield and rigid demand,” Operations Research, 5(3), 424-432, 2002.
[3] Barad, M. and D. Braha., “Control limits for multi-stage manufacturing processes with binomial yield (single an multiple production runs),” Journal of the Operational Research Society, 47, 98-112, 1996.
[4] Beja, A., “Optimal Reject Allowance with Constant Marginal Production Efficiency,” Naval Research Logistics Quarterly, 24, 21-33, 1977.
[5] Ben-Zvi, T. and A. Grosfeld-Nir, “Serial production systems with random yield and rigid demand: a heuristic,” Operations Research Letters, 35, 235-244, 2007.

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