標題: 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 作者: 蘇泰盛Su, Tai-Sheng許錫美Hsu, Hsi-Mei工業工程與管理學系 關鍵字: 批量;中斷式幾何分配;動態規劃;生產/存貨系統;Lot-sizing;Interrupted geometric distribution;Dynamic programming;Production/Inventory system 公開日期: 2008 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。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. URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009233814http://hdl.handle.net/11536/77143 Appears in Collections: Thesis

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