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研究生:李芳娟
研究生(外文):Fang-Chuan Lee
論文名稱:多階存貨配送系統最佳補貨策略之研究
論文名稱(外文):On Coordinating the Replenishment Strategies of Multi-Stage Inventory/Distribution Systems
指導教授:溫于平溫于平引用關係
指導教授(外文):Ue-Pyng Wen
學位類別:博士
校院名稱:國立清華大學
系所名稱:工業工程與工程管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:英文
論文頁數:127
中文關鍵詞:三階配送系統序列式存貨配送系統運輸成本折扣啟發式搜尋法
外文關鍵詞:three-stage inventory/distribution problemsserial inventory/distribution systemstransportation cost discountsheuristic search algorithm
相關次數:
  • 被引用被引用:0
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  • 下載下載:33
  • 收藏至我的研究室書目清單書目收藏:1
雖然有許多文獻著重於二階存貨配送系統,但是企業全球化的供應鏈管理,在採購、生產、配送及銷售的網絡中,對於快速回應上下游的產品供應及需求、協調存貨批量之大小與補貨排程等問題都較以往要複雜得多。因此,本研究將以探討多階存貨配送的供應鏈架構為研究重點。本研究擬由基礎的多階序列式存貨配送系統為研究的起始,輔以一般整數及二冪整數的補貨策略以及兩種和兩種以上不同的運輸折扣成本為研究的議題,探究網絡中多階倉儲的總成本為最小。以同樣的思維剖析並尋得總成本結構的原型以利獲得較佳的啟發式搜尋法,進而推廣至三階存貨配送的供應鏈架構在一般整數及二冪整數的補貨策略以及兩種不同的運輸折扣成本下,如何使得三階供應鏈上所有成員總成本為最佳。
本研究將文獻中三階供應鏈系統只考慮生產及存貨的既有架構再加上配送運輸因素的考量。利用成本分析的手法,探究供應鏈中每一成員各自的成本圖形藉以建構並發展出合適的啟發式解法,以求解此問題。由於考量運送數量的折扣成本,在成本架構上較易出現複雜的片段凸性且不連續的折斷點,過去的文獻單純是以繁複的數學推導出其經濟訂購批量,而忽略探討問題中基本的成本結構特性,以此結構發展出的啟發式搜尋法是可以更有效率地求得估計最佳解。
中文摘要 i
ABSTRACT ii
誌謝詞 iii
CONTENTS iv
LIST OF TABLES vii
LIST OF FIGURES viii

Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Research Objective 7
1.3 Framework of the Dissertation 7
Chapter 2 Literature Review 9
2.1 Background 9
2.2 Inventory Replenishment and Transportation Cost Policies 10
2.3 Multi-Stage Systems 12
2.4 Serial Systems 14
2.5 The LINGO® Software 15
2.6 Lot-Sizing Problems in Flowshop Systems 15
2.7 Transportation Costs with Quantity Discounts 17
2.8 The Research Gap 19
Chapter 3 A Heuristic Approach for Solving Serially Distributed Storage Depots under General-Integer Policy 20
3.1 The Problem Definition 20
3.2 The Problem Statement 22
3.3 The Cost-Curve Structure Analysis 24
3.3.1 Some Insights into TCGI,TL and TCGI,ML Functions 25
3.4 A Proposed Heuristic Method 28
3.4.1 A Search Mechanism for Finding BPs 28
3.4.2 A Search Mechanism for Finding JPs 30
3.4.3 A Mechanism for Determining TTCi 32
3.4.4 A Mechanism for Finding ki Values of the Searched Points 34
3.5 A Numerical Example 35
3.6 Computational and Comparative Results 38
3.6.1 Our Proposed Heuristic versus the LINGO® Software 38
3.6.2 Our Proposed Heuristic versus Relaxed Problems 41
3.6.3 Our Proposed Heuristic versus Vroblefski et al. (2000) 42
3.7 Conclusions 52
Chapter 4 A Heuristic Approach for Solving Serially Distributed Storage Depots under Power-of-Two Policy 54
4.1 The Problem Definition 54
4.2 The Problem Statement 54
4.3 The Cost-Curve Structure Analysis 55
4.3.1 Some Insights into Two-Level Transportation Cost Problems 56
4.3.2 Some Insights into Multi-Level Transportation Cost Problems 59
4.4 A Proposed Heuristic Approach 63
4.4.1 An illustrative Example 64
4.5 Computational and Comparative Results 66
4.5.1 Our Proposed Heuristic versus the LINGO® Software 66
4.5.2 Our Proposed Heuristic versus Relaxed Problems 68
4.5.3 Our Proposed Heuristic versus Vroblefski et al. (2000) 70
4.6 Conclusions 70
Chapter 5 On Coordinating the Replenishment Cycles in the Three-Stage Inventory-Distribution Supply Chains 78
5.1 The Problem Statement 78
5.2 The Cost-Curve Structure Analysis 82
5.3 A Proposed Heuristic Method 89
5.3.1 Starting and Termination Conditions 89
5.3.2 A Search Mechanism for Finding BPs 91
5.3.3 A Search Mechanism for Finding JPs 91
5.3.4 A Search Mechanism for solving TSIDP 95
5.4 An Illustrative Example 95
5.5 Computational and Comparative Results 102
5.6 Conclusions 104
Chapter 6 The Summary and Future Research 106
6.1 The Summary of Dissertation 106
6.2 Future Research 106
References 109

Appendix A 119
A.1 SDSDP_GI (One Breakpoint) LINGO® Pseudo Code 119
A.2 SDSDP_GI (Multiple Breakpoint) LINGO® Pseudo Code 120
A.3 SDSDP_ PoT (One Breakpoint) LINGO® Pseudo Code 121
A.4 SDSDP_PoT (Multiple Breakpoint) LINGO® Pseudo Code 122
A.5 TSIDP LINGO® Pseudo Code 123
Appendix B 126
B.1 The proof of Lemma 5.1 126
B.2 The proof of Lemma 5.2 126
B.3 The proof of Proposition 5.1 126
B.4 The proof of Lemma 5.3 126
B.5 The proof of Proposition 5.2 126
B.6 The proof of Proposition 5.3 127
B.7 The proof of Lemma 5.4 127
B.8 The proof of Lemma 5.5 127
B.9 The proof of Proposition 5.4 127
B.10 The proof of Proposition 5.5 127
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