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研究生： 武文清
VO VAN THANH
論文名稱： 不確定環境下可持續配送網路設計：混合模糊多目標規劃方法
Designing Sustainable Distribution Networks under Uncertain Environments: Hybrid Multi-objective Fuzzy Programming Approaches
指導教授： 曹譽鐘
Yu-Chung Tsao
口試委員: 蘇國瑋
Kuo-Wei Su
陳宗輝
Tsung-Hui Chen
林義貴
Yi-Kuei Lin
喻奉天
Vincent-F Yu
王孔政
Kung-Jeng Wang
曹譽鐘
Yu-Chung Tsao
林希偉
Shi-Woei Lin
學位類別： 博士
Doctor
系所名稱： 管理學院 - 工業管理系
Department of Industrial Management
論文出版年： 2019
畢業學年度： 107
語文別： 英文
論文頁數： 92
中文關鍵詞： 永續性 、配送網路 、供應鏈 、乾港 、社會成本 、穩健最佳化 、隨機模型 、模糊多目標規劃
外文關鍵詞： Sustainability, Distribution network, Supply chain, Dry port, Social cost, Robust optimization, Stochastic programming, Fuzzy multi-objective programming
相關次數： 點閱：406  下載：20 
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    • 永續性配送網路是一種處理廣泛環境和社會議題的方法，在近年來吸引大量的關注。此外，混亂的商業環境與複雜的動態配送網路為網路設計增加高度不確定性。配送網路設計被視為一個重要的議題，其將與設備位置和容量以及設備間的流量相關的政治和戰略決策納入考慮。
    本文提出兩種混和模糊多目標的規劃方法解決永續供應鏈網路與永續乾港網路設計的問題，其分別為模糊多目標隨機規劃與穩健多目標隨機規劃。我們針對每個問題發展一多目標的數學模型來決定與設計相關的決策，例如設備的最佳數量、位置、容量和設備間的產品或貨物流動，也就是生產工廠、供應鏈網路的配銷中心和海港與乾港網路間的乾港。
    我們所提出的模型和方法著重於在缺乏知識或認知不確定性，如需求、經濟、環境和社會參數，與彈性的限制及目標，如設備之容量所產生的模糊係數下，將經濟成本與環境不確定性所帶來的影響降到最低同時將社會效益最大化。
    我們採用基於實例的測試方法來檢驗本文所提出的模型在配送網路設計中每種情況下之性能。本文之研究結果可作為應用模糊集合和理論下的業者與永續發展相關的學者之參考。

    Sustainable distribution networks have attracted considerable attention in recent years as a means of dealing with a broad range of environmental and social issues. Also, the chaotic business environment and the dynamic nature of complex distribution networks impose a high degree of uncertainty in making decisions about the network design.
    Distribution network design is a crucial issue, taking into account strategic and political decisions related to the location and capacity of facilities and the flow between these facilities. This dissertation proposes two hybrid fuzzy multi-objective programming approaches including multi-objective fuzzy stochastic programming and multi-objective robust fuzzy programming to solve the sustainable supply chain networks and sustainable dry port networks design problem, respectively.
    For each problem, a multi-objective mathematical model are developed to determine the design-related decisions, such as the number, location, and capacity of facilities (i.e., production plants, distribution centers in supply chain networks and dry ports in seaport- dry port networks) as well as the product or freight flows between facilities. The proposed model and approaches are aimed at maximizing social benefits while minimizing economic costs and environmental impacts under uncertainties in fuzzy coefficients for lack of knowledge or epistemic uncertainty (i.e., demand and economic, environmental, and social parameters) and flexibility in constraints and goals (i.e., capacity of facilities).
    A test instance-based approach is used to validate the performance of the proposed models in each case of sustainable distribution network design. The results of this dissertation can serve as references for sustainable development-related scholars and practitioners under fuzzy set and theory’s applications.

    摘 要 i ABSTRACT ii ACKNOWLEDGEMENT iii TABLE OF CONTENTS iv LIST OF ABBREVIATIONS vi LIST OF FIGURES vii LIST OF TABLES viii CHAPTER 1 INTRODUCTION 1 1.1. Background and motivation 1 1.2. Research objective 3 1.3. Organization of dissertation 4 CHAPTER 2 LITERATURE REVIEW 6 2.1. Sustainable distribution network design problem 6 2.2. Uncertain programming approaches 7 2.3. Interactive fuzzy multi-objective approaches 9 2.4. Sustainable supply chain networks 10 2.4.1. Economic and environmental issues associated with SSCNs 10 2.4.2. Social issues pertaining to SSCNs 11 2.5. Sustainable dry port networks 12 2.5.1. Dry port concept 12 2.5.2. Sustainability in dry port networks design 14 CHAPTER 3 DESIGNING SUSTAINABLE SUPPLY CHAIN NETWORKS UNDER UNCERTAIN ENVIRONMENTS: A MULTI-OBJECTIVE FUZZY STOCHASTIC PROGRAMMING APPROACH 16 3.1. Problem description and model formulation 16 3.2. Proposed solution approach 21 3.2.1. Auxiliary multi-objective linear programming model 22 3.2.2. Proposed interactive fuzzy programming 24 3.3. Computational experiments and evaluation 26 3.3.1. Data setting 26 3.3.2. Sensitivity analysis for three objective functions 27 3.3.3. Evaluation of performance of the proposed model 32 CHAPTER 4 DESIGNING SUSTAINABLE DRY PORT NETWORKS UNDER UNCERTAIN ENVIRONMENTS: A MULTI-OBJECTIVE ROBUST FUZZY PROGRAMMING APPROACH 34 4.1. Problem description and model formulation 34 4.2. Proposed solution approach 40 4.2.1. Mixed possibilistic flexible robust programming model 41 4.2.2. Multi-objective mixed robust possibilistic flexible programming model 43 4.2.3. The interactive fuzzy solution approach 46 4.3. Computation experiments and evaluation 48 4.3.1. Data setting 48 4.3.2. SDPN design-related decisions 50 4.3.3. Robustness analysis 51 4.3.4. Assessing the performance of the proposed MOMRFPFP model 53 CHAPTER 5 CONCLUSIONS AND FUTURE RESEARCH 58 5.1. Conclusions 58 5.1.1. Environmental and social issues in distribution network design problem 58 5.1.2. Fuzzy programming approaches 59 5.2. Future research 60 5.2.1. Sustainable distribution networks design 60 5.2.2. Hybrid fuzzy multi-objective programming approaches 61 References 63 Appendix 3.1 70 Appendix 3.2 71 Appendix 3.3 72 Appendix 4.1 74 Appendix 4.2 75 Appendix 4.3 77 Appendix 4.4 79 COMPLETE LIST OF PUBLICATION 80

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