閉迴路供應鏈中考量多期及不可拆單情況下之最佳生產組合

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研究生：	林洪緒
論文名稱：	閉迴路供應鏈中考量多期及不可拆單情況下之最佳生產組合 Optimal Periodical Production Mix with Inseparable Orders in a Closed Loop Supply Chain System
指導教授：	王小璠
口試委員:	張國華溫于平
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：	2014
畢業學年度：	102
語文別：	英文
論文頁數：	77
中文關鍵詞：	閉迴路供應鏈、再製造、多訂單、多期生產規劃、缺貨補貨、模糊機會限制模型
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生產規劃在製造業裡一直是個相當重要的議題。藉由良好的生產規劃可幫助公司減少不必要的成本以及增加生產利潤。本研究考慮一中期生產規劃，零售商們在期初時會給予生產者每一期的訂單。由於產能限制，生產者必須在基於利潤最大化的原則下決定接受以及拒絕哪些訂單。生產者必須考慮兩個問題: 即(1)生產者必須接受那些訂單，以及(2)決定每一期要分配多少產品給每一位零售商。為了解決上述問題，本研究提出一整數規劃模型，目標即是在產能限制以及缺貨補貨策略的可行性下考量多期多訂單並建立一最佳生產規劃以使得淨利潤最大化。此外，由於需求之不確定性，本研究將應用模糊集合論的概念將零售商對需求以自然語言表達所產生的模糊不確定性納入原整數線性規劃模型，以提供決策者在不同風險參數下之最佳生產方式。兩種不同數學模型的數據分析將個別提供在不同章節之中。本研究除了能夠提供傳統生產規劃模型所提供之資訊外，亦能提供決策者該接受哪些零售商之訂單需求，以及如何在多期數規劃中分配其產品給零售商。

Production planning, which allows the producer to manage all production activities efficiently, is a major issue in manufacturing/processing industries. A good plan helps the company lower down its expenses and/or increase the profit. This study considers a medium-term production planning problem in which a producer receives several periodic orders from multiple retailers at the beginning of planning horizon. Due to the capacity limit of the production system, the producer needs to reject some orders based on profit maximization principle. The producer faces two questions: 1) which order the producer should accept, and 2) when the products need to be allocated to the retailers. To solve these problems, we propose an integer programming model. Furthermore, due to the demand uncertainty, Fuzzy Set Theory is applied to construct a Fuzzy Chance-Constrained Production Mix Model so that the producer’s risk attitude and preference can be adopted to address uncertainty issue. Numerical examples for deterministic and uncertain cases are provided for illustration. The results of this study can help producers deal with a more realistic environment.

TABLE OF CONTENT
TABLE OF CONTENT    II
ABSTRACT………………………………………………………………………….    IV
中文摘要…………………………………………………………………………….    V
ACKNOWLEDGMENT    VI
FIGURE AND TABLE CAPTIONS    VII
LIST OF NOTATIONS    VII
CHAPTER 1    INTRODUCTION    1
CHAPTER 2    LITERATURE REVIEW    3
2.1 Characteristics of Production Planning (Karimi et al, 2003)    3
2.2 Remanufacturing and Closed Loop Supply Chain    6
2.3 Fuzzy Approach to Resolving Uncertainty    9
2.3.1 Fuzzy Set Theory    9
2.3.2 Fuzzy Production Planning Models    13
2.3.3 Fuzzy Chance-Constrained Programming Model    13
2.4 Concluding Remarks    17
CHAPTER 3    PROPOSED DETERMINISTIC MODEL    18
3.1 Problem Statement    18
3.2 Model Formulation    20
3.2.1 Assumption    20
3.2.2 List of Notations    21
3.2.3 Proposed Production Mix Model    22
3.3 Alternative Optimal Allocation Strategy    25
3.4 The Reduced PMM    27
3.5 Numerical Example and Analysis    29
3.5.1 Numerical Example for PMM    29
3.5.2 Analysis of Minimal Acceptance Ratio for Managerial Insight    34
3.5.3 Numerical Example for Reduced PMM    35
3.6 Concluding Remarks    38
CHAPTER 4    FUZZY PRODUCTION MIX MODEL    40
4.1 Fuzzy Production Mix Model    40
4.2 The Proposed Fuzzy Chance-Constrained Production Mix Model     42
4.2.1 Assumption of M Lamda Measure Formulation    43
4.2.2 Transformation of Fuzzy Constraints into M Measure Constraints    43
4.2.3 Property of M Lamda Measure for Uncertain Event    49
4.2.4 Assumption of Modelling FCCPMM    50
4.2.5 Modeling FCCPMM    51
4.2.6 Parameter Analysis    54
4.3 Numerical Example    55
4.4 Concluding Remarks    61
CHAPTER 5    SUMMARY AND CONCLUSION WITH FUTURE STUDY    62
REFERENCES………………………………………………………………………    65
APPENDIX A………………………………………………………………………    68
APPENDIX B……………………………………………………………………...    71
APPENDIX C……………………………………………………………..……….    73
APPENDIX D……………………………………………………….……………….    76

                                

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