Production Plan for Batch Manufacture and Remanufacture of Periodic Demands

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研究生：	傅俊源 Fu, Chung-Yuan
論文名稱：	Production Plan for Batch Manufacture and Remanufacture of Periodic Demands 週期需求的批量製造與再製造之生產規劃問題
指導教授：	王小璠 Wang, Hsiao-Fan
口試委員:	張國浩何佩勳
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：	2011
畢業學年度：	99
語文別：	英文
論文頁數：	47
中文關鍵詞：	生產規劃、再製造、綠批量生產、模糊決策
外文關鍵詞：	lot-sizing, production planning, remanufacturing, remanufacturing, fuzzy set theory
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Environmental issues and legislation pressures have led manufacturers to exert more effort in product recovery. Hence, traditional production planning systems should take account for product recovery and greenhouse gas emission. Based on periodic demands, we first propose a single item production plan for batch manufacture and remanufacture by developing a crisp mixed integer programming model. The objective is to minimize the total cost of production cost, holding cost, emergency procurement cost, backlogging cost and the penalty for excessive carbon emission in a production plan. Since in reality, recycling rate is not easy to estimate. Therefore, such uncertain situation is further considered by applying the concept of Fuzzy Set Theory to develop a fuzzy mixed integer programming model (FMIP) such that with respect to different levels of satisfaction with the constraints, the optimal solutions can be obtained for more flexible applications.

本研究主要探討在已知規劃期數和各期需求的批量生產中，若再製品與新品無異且允許缺貨下，探討單一產品利用有限產能進行製造和再製造之生產規劃問題。目的在藉由所建構之混合整數規劃模型幫助決策者進行生產規劃，期使整體的生產成本、存貨成本(新品、回收品)、新品缺貨成本以及超過碳排放量的懲罰成本最小化。此外考量到在實際環境中回收率的不確定性以及決策者語意描述的情況，此研究應用模糊數學的概念延伸原混合整數規劃模型至模糊混合整數規劃模型，以提供決策者在不同限制式滿意程度下的最佳生產方式。

CONTENTS
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    4
2.1 Production Planning    4
2.2    The Characteristics of Dynamic Lot Sizing Model    6
2.2.1 Planning Horizon    6
2.2.2 Capacity    7
2.2.3 Periodic Demand    7
2.2.4 Inventory Shortage    7
2.3    The Current Developments of Dynamic Lot Sizing Model    8
2.4    Conclusion and Discussion    10
CHAPTER 3 THE PROPOSED MODEL    14
3.1 The Structure of the Closed-Loop Supply Chain System and Assumption    14
3.2 Problem Description    15
3.3 Mathematical Formulation    16
3.4    Model Evaluation and Numerical Illustration    18
3.5 Conclusion and Remarks    23
CHAPTER 4 FUZZY MODEL FORMULATION    24
4.1 The Fuzzy Mixed Integer Programming Model    24
4.2 The Equivalent Auxiliary Crisp Model    27
4.3 Numerical Illustration    37
4.4 Conclusion and Remarks    43
CHAPTER 5 SUMMARY AND CONCLUSION WITH FURTHER STUDY    44
REFERENCES    45

                                

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