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研究生： 李怡誼
Lee, I-I
論文名稱： 以穩健最佳化分析易腐物流規劃的問題
Robust Optimization Approach to Perishable Commodities Logistics
指導教授： 王小璠
Wang, Hsiao-Fan
口試委員: 葉維彰
許錫美
學位類別： 碩士
Master
系所名稱： 工學院 - 工業工程與工程管理學系
Department of Industrial Engineering and Engineering Management
論文出版年： 2012
畢業學年度： 100
語文別： 英文
論文頁數： 64
中文關鍵詞： 易腐物 、物流 、目標規劃 、穩健最佳化
外文關鍵詞： Perishable commodities, Logistic, Goal programming, Robust optimization
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    • 近年來，由於世界經貿體制趨向全球化及自由化發展，台灣農業發展面臨國際農品的競爭壓力，加上食品加工業在台灣加入WTO後，市場競爭更為劇烈，競爭的優劣決定於資訊力與知識，唯有掌握內外資訊，透過科技創新及現代化經營模式，才能跟上市場瞬息萬變的腳步，充分掌握市場的變動性及未來需求。本研究針對此問題，分別提出一單期及多期的混合整數規劃模型，利用穩健規劃處理農產品加工業的物流規劃，考慮最大化總利潤，找出最佳的半成品及罐裝食品運輸流量及製造量，並同時滿足不確定性的罐裝食品需求。最後將以一例說明所提出模型的適用性。

    Agriculture has enhanced both the industrial and the economic development of Taiwan. Although its economic contributions have declined over the years, agriculture remains essential to some people’s livelihoods. In today’s highly competitive world market, companies that only offer agricultural products with high quality and added value can survive. Food processing adds value to farm products, lengthens their shelf life, and widens their distribution area. Considering the uncertain global market demand and the high production cost of packed products, we propose a mixed-integer robust linear programming model under both single-period and multiple-period demands to enable logistics to be as flexible as possible and to cope with the possible risks. The objective is to find the optimal production and inventory levels for the products before and after packing for maximum total profit. Two simple numerical examples are presented to illustrate our model.

    中文摘要 II ABSTRACT III ACKNOWLEDGEMENT IV TABLE AND FIGURE CAPTIONS VII LIST OF NOTATIONS IX CHAPTER 1 INTRODUCTION 1 CHAPTER 2 LITERATURE REVIEW 3 2.1 Logistics Management 3 2.1.1 Logistics Chains 3 2.1.2 Management of Logistics Chains 5 2.2 Robust Optimization 5 2.2.1 Measure of Robustness 7 2.2.2 Two-Stage Robust Programming 7 2.3 Concluding Remarks 13 CHAPTER 3 THE EXTENDED MODEL UNDER MULTI-PERIOD DEMANDS 15 3.1 Problem Statement 15 3.2 The Proposed Two-Stage Robust Programming Model 18 3.2.1 Notations 18 3.2.2 Measure of Robustness 18 3.2.3 The Proposed Robust Programming Under Multi-Period Demands(RP-MPD) 23 3.3 An Illustrative Example 27 3.3.1 Input Data 27 3.3.2 Output Results 31 3.3.3 Sensitivity Analysis on Preference Weights 36 3.4 Conclusion and Remarks 39 CHAPTER 4 THE EXTENDED MODEL UNDER SINGLE PERIOD DEMANDS-A SPECIAL CASE 42 4.1 Problem Statement 42 4.2 The Proposed Robust Programming Under Single Period Demands(RP-SPD) 43 4.3 An Illustrative Example 49 4.3.1 Input Data 49 4.3.2 Output Results 53 4.3.3 Sensitivity Analysis on Preference Weights 55 4.4 Concluding and Remarks 57 CHAPTER 5 SUMMARY AND CONCLUSION WITH FURTHER STUDY 61 REFERENCES 63

    1. Bai, D., Carpenter, T. and Mulvey, J., “Making a Case for Robust Optimization Models.” Management Science, 43, 895–907(1997)
    2. Bendiner, J., “Integrated Logistics Management: Benefits and Challenges”, OR/MS Today, June, 34-36 (1993)
    3. Davis, T., “Effective Supply Chain Management”, Sloan Management Review, 34, 35-46 (1993)
    4. Evans, G.N., Naim, M.M. and Towiil, D.R., “Dynamic Supply Chain Performance: Assessing the Impact of Information Systems”, Logistics Information Management, 6, 15-25 (1993)
    5. Harland, C., Williams, D. and Fitzgerald, L., “Supply Chain Methodology”, Human Systems Management, 12, 17-23 (1993)
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    7. Mulvey, J. M., Vanderbei, R. J. and Zenios, S. A., “Robust Optimisation of Large-scale Systems.” Operation Research, 43, 264–281(1995)
    8. Piet, A. S., Bis B., Joseph J.M. E. and Gert D., “Logistic Chain Modeling”, European Journal of Operational Research, 87, 1-20 (1995)
    9. Sen, S. and Higle, J. L., “An Introduction Tutorial on Stochastic Linear Programming Models.” Interfaces, 29, 33–61(1999)
    10. Shapiro, J.F., Singhal, V.M. and Wagner, S.N., “Optimizing the Value Chain”, Interfaces, 23, 102-117 (1993)
    11. Siler, E. A., Pyle, D. F. and Peterson, R., Inventory Management and Production Planning and Scheduling, 3rd edition, (1998)
    12. Stevens, G.C., “Integrating the Supply Chain”, International Journal of Physical Distribution and Materials Management, 19, 3-8 (1989)
    13. Wu, Y., “Robust Optimization Applied to Uncertain Production Loading Problems with Import Quota Limits under the Global Supply Chain Management Environment.” International Journal of Production Research Society, 44, 849-882 (2006)
    14. Yu, C.S. and Li, H.L., “A Robust Optimization Model for Stochastic Logistic Problems.” International Journal of Production Economics, 64, 385-397 (2000)
    15. http://www.agnet.org/library/eb/555/

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