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研究生:楊婷茱
研究生(外文):Ting-chu Yang
論文名稱:考量不確定需求與數量成本相依下之配送網路規劃
論文名稱(外文):Distribution Network Design with Stochastic Demand and Volume-dependent Costs
指導教授:楊大輝楊大輝引用關係
指導教授(外文):Ta-hui Yang
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:運籌管理研究所
學門:商業及管理學門
學類:行銷與流通學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:85
中文關鍵詞:配送網路設計隨機需求設施區位選擇規模經濟供應鏈
外文關鍵詞:Location problemStochastic demandEconomies of scaleSupply chainDistribution network design
相關次數:
  • 被引用被引用:5
  • 點閱點閱:210
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本研究探討多階層供應鏈中,考量季節性需求變動下,產品配送路網之設計問題。利用配送中心及製造商的存貨、補貨機制,調解不確定需求所引起的供需失衡問題。所提出之模型規劃配送路網時,考慮直接配送及透過配送中心集貨轉運兩種配送方式。而運輸成本規模經濟為影響此兩種配送方式選擇之因素,並透過運輸成本規模經濟之考量以反應實際配送情況。本研究利用隨機規劃理論,建構多階層供應鏈之策略性配送路網設計問題,用以決定直送轉運之最佳配送網路、最佳配送中心之區位選擇、及最佳存貨補貨計畫。最後本研究建構一虛擬案例,以測試模型的合理性及實用性。
This study focuses on finished products strategic distribution and delivery network design, which is a long-term planning involved in large capital investment and having long-term effects on future operations. Seasonal demand variation is considered in this research. The inventory and replenishment mechanisms are used in distribution centers and manufacturers as a buffer to respond the demand variations. Direct shipment from manufacturers, transshipment through distribution centers, and economies of scale in transportation costs are considered to reflect the real-world distribution operations. The stochastic programming model is used to formulate the strategic distribution network design problem in multi-echelon supply chain and tries to determine 1) the best distribution plan for direct shipments and transshipments; 2) the optimal facility number and locations for the distribution centers. Finally, an example was created to test the performance of the proposed model.
中文摘要 i
Abstract ii
Acknowledgement iii
Contents iv
Contents of Table v
Contents of Figure vi
1. Introduction 1
2. Literature Review 5
3. Problem Description and Model Formulation 9
4. Case Study 28
4.1 Illustrative example 28
4.2 An example by real data 41
4.3 An example by Contrived data 48
5 Conclusion 67
5.1 Summary 67
5.2 Contributions 68
5.3 Suggestions and future research 70
References 71
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