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題名 | 供應鏈之多層級存貨問題--製造批量分割法則=Supply Chain: Inventory Problem in Multi-stage Manufacturing Lot Size Division Criterion |
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作者 | 蕭裕正; Hsiao, Yu-cheng; |
期刊 | 華夏學報 |
出版日期 | 20011200 |
卷期 | 36 2001.12[民90.12] |
頁次 | 頁15563-15570 |
分類號 | 494.578 |
語文 | chi |
關鍵詞 | 供應鏈; 非線性整數規劃; 存貨問題; 經濟生產批量; 製造批量分割法則; Supply chain; Nonlinear integer programming; Inventory problem; Economic production quantity; Recursive tightening algorithm; |
中文摘要 | 自由貿易及國際化的發展趨勢,加上電腦網路技術的進步與實體運輸系統的發達,企業界體認到整體計劃中納入供應鏈策略的重要,結合上、中、下游廠商組合成一供應鏈系統,以提升整體效率與競爭力。 存貨因各式各樣的原因而以多種型式存在於整個供應鏈中,擁有這些存貨一年的成本大約為產品價值的百分之二十到四十,製造業發覺存貨太多與前置時間太長,需在經濟的原則下,用科學的方法降低存貨水準與縮短前置時間。本研究之目的在建立多層級供應鏈系統的非線性整數規劃(nonlinear IP)模式,允許各層級間的分批量及分批數不等,模式之複雜度為非多項式(non-polynomial)。本研究並發展製造批量分割法則(Manufacturing Lot Size Division Criterion)縮小可行解區,進而求解經濟生產批量(EPQ)、各層級間的分批量及分批數,使模式之複雜度降為多項式(polynomial)。 |
英文摘要 | With the trend of free trade and internationalization and the development of computer network and transportation, enterprises are recognizing the importance of incorporating supply chain strategy into their overall planning process. Inventories exist throughout the supply chain in various forms for various reasons. Since carrying these inventories can cost anywhere from 20 to 40% of their value a year, managing them in a scientific manner to maintain minimal levels makes economic sense. Lots of literatures only concern two stages (buyer and supplier), actually, we need to take all stages of supply chain system into consideration. Szendrovits model reduces both manufacturing cycle time and total costs with equal sized batches over all stages for a given lot size. The transportation costs are treated as sunk costs. Goyal and Szendrovits model assumes equal or unequal sized batches between adjacent stages and different number of batches across stages. They present a heuristic procedure for their approach. This research proposes a nonlinear integer programming model, then we develop the manufacturing lot size division criterion to reduce the feasible region. In addition, the economic production quantity, the batch size and the number of batches will be solved. Since we assume unequal sized batches between adjacent stages and different number of batches across stages, the complexity of the model is non-polynomial. After division procedure, the complexity of the model was reduced to be polynomial. |
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