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研究生： 鄧喻心
Yu-Hsin Deng
論文名稱： 考慮再製造的兩階層供應鏈最佳存貨策略
An optimal replenishment policy for two-echelon inventory system with remanufacturing
指導教授： 陳正綱
Cheng-Kang Chen
口試委員: 葉瑞徽
none
洪大為
none
學位類別： 碩士
Master
系所名稱： 管理學院 - 資訊管理系
Department of Information Management
論文出版年： 2009
畢業學年度： 97
語文別： 英文
論文頁數： 49
中文關鍵詞： 逆物流 、再製 、存貨
外文關鍵詞： Reverse logistics, Remanufacturing, Inventory
相關次數： 點閱：220  下載：5 
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  •  上一筆

    • 近年來逆物流越來越被受關注，並視為一種新的研究趨勢。此篇論文研究一個零售商如何決定最佳的訂購量和一個製造商如何決定最佳的回收百分比在史塔克堡領導模式(the Stackelberg leadership model)和中心系統整合模式(the centrally coordinated system model)中，我們在考慮再製造的兩階層存貨系統中透過最佳訂購量和最佳回收百分比將利潤最大化。在此篇論文中，史塔克堡領導模式具有最佳的公式解(closed-form)，在中心系統整合模式裡，我們提供兩種有效地演算法找到最佳解。最後，利用一些數值範例來說明問題的特性，以及藉由敏感度分析列出關於最佳解的參數。

    Reverse logistics has been concerned and viewed as a new trend of research. This article investigates how the buyer can optimally determine the purchasing quantity and how the seller can optimally determine the return percentage in two different models (the Stackelberg leadership and the centrally coordinated system model). We seek to maximize the total profits through optimal order quantity and return percentage of the two-echelon inventory system with remanufacturing. In this paper, the Stackelberg leadership model comes with the closed-form optimal solution and the centrally coordinated system model provides two efficient algorithms to obtain the optimal solution. Finally, some numerical examples are provided to illustrate the features of the proposed problem and the sensitivity analyses of the parameters with respect to the optimal solution are performed.

    致 謝 I 摘 要 II Abstract III TABLE OF CONTENTS IV LIST OF FIGURES V LIST OF TABLES VI Chapter 1. Introduction 1 Chapter 2. Literature 3 Chapter 3. Model development 6 3.1 Assumptions 6 3.2 Notation 7 3.3 The Stackelberg leadership model 9 3.3.1 The inventory behavior of buyer 10 3.3.2 The inventory behavior of seller 11 3.4 The centrally coordinated system model 13 3.4.1 Cardano’s formula approach 14 3.4.2 Cardano’s formula algorithm 22 3.4.3 Iterative computation approach 24 3.4.4 Iterative computation algorithm 32 Chapter 4. Numerical Example and Sensitivity analyses 34 4.1 Numerical examples of Cardano’s formula 34 4.2 Sensitivity analyses 36 Chapter 5. Conclusion and further research 46 Reference 47

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