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研究生： Hadi Susanto
Hadi - Susanto
論文名稱： Shelf Space Optimization Considering Product Price, Display Orientation, Cost Factor, and Economic Order Quantity
Shelf Space Optimization Considering Product Price, Display Orientation, Cost Factor, and Economic Order Quantity
指導教授： 喻奉天
Vincent F. Yu
口試委員: 周碩彥
Shuo-yan Chou
郭人介
Ren-jieh Kuo
學位類別： 碩士
Master
系所名稱： 管理學院 - 工業管理系
Department of Industrial Management
論文出版年： 2011
畢業學年度： 99
語文別： 英文
論文頁數： 82
外文關鍵詞： Shelf-space allocation, pricing and revenue management
相關次數： 點閱：237  下載：4 
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    • Shelf space is an important resource for automotive retailers since a great quantity of products competes with the limited shelf space for display. Retailer cannot only increase their profit directly without considering product prices, display facing areas, display orientations, shelf-space locations, and cost by proper shelf space management. This research develops a model that considers several aforementioned factors, and captures three dimensional product packaging characteristics. Unlike existing shelf-space allocation models, this research sets out to deepen the cost factor including purchasing cost, ordering cost, holding cost, and display cost. Further, we also take into account how to determine the economic order quantity based on specific range orders to a supplier. This research proposes to extend the limited stream of research by systematically addressing the shelf-space allocation problem and exploring alternative solution technique such as meta-heuristic approaches, more specifically, the particle swarm optimization (PSO) method to solve the problem.

    Abstract i Acknowledgments ii Table of Contents iii List of Figures v List of Tables vi Chapter 1 Introduction 1 1.1. Problem Background 1 1.2. Thesis Objectives 3 1.3. Limitation 3 1.4. Organization of Thesis 4 Chapter 2 Literature Review 6 2.1. Shelf Space Management 6 2.1.1. Shelf Space Allocation Models 8 2.2. Inventory Concept 10 2.2.1. Economic Order Quantity 12 2.2.2. Quantity Discount Model 13 2.3. Optimization Methods 14 2.3.1. Particle Swarm Optimization 17 2.4. State of The Art (SOTA) 19 Chapter 3 Model Development 23 3.1. Conceptual Model 23 3.2. Optimization Model 25 3.2.1. Profit Optimization Model 32 3.3. Solution Methodology 36 Chapter 4 Case Study 41 4.1. Company Background 41 4.2. Optimization Case 41 4.3. Solve Optimization Problem 44 4.4. Evaluation of Model Solution 47 4.4.1. Consistency Evaluation 47 4.4.2. Evaluation of the Solution Model Parameters 48 4.5. Model Verification 54 4.6. Discussion 57 Chapter 5 Conclusions and Future Directions 59 5.1. Conclusions 59 5.2. Contribution of Thesis 60 5.3. Future Direction 60 REFERENCES 62 APPENDIX A MATHEMATICAL MODEL DEVELOPMENT 65 APPENDIX B COMPUTER PROGRAM 68

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