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研究生:Jose Manuel nurinda Barquero
研究生(外文):Jose Manuel nurinda Barquero
論文名稱:ESTABLISHMENT OF AN (s,S) INVENTORY CONTROL POLICY VIA DISCRETE-EVENT ANALYSIS TECHNIQUES; A SOAP PRODUCTION COMPANY EXAMPLE
論文名稱(外文):ESTABLISHMENT OF AN (s,S) INVENTORY CONTROL POLICY VIA DISCRETE-EVENT ANALYSIS TECHNIQUES; A SOAP PRODUCTION COMPANY EXAMPLE
指導教授:Chi-Yang Tsai
指導教授(外文):Chi-Yang Tsai
口試委員:Ching-Jung TingChi-Tai Wang
口試委員(外文):Ching-Jung TingChi-Tai Wang
口試日期:2016-07-20
學位類別:碩士
校院名稱:元智大學
系所名稱:工業工程與管理學系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:英文
論文頁數:53
中文關鍵詞:Gradient-Based AlgorithmRetrospective AlgorithmInventory Control PolicyInventory Control OptimizationInventory CostInventory Cost OptimizationGradient-Based AlgorithmRetrospective AlgorithmInventory Control PolicyInventory Control OptimizationInventory Cost
外文關鍵詞:Gradient-Based AlgorithmRetrospective AlgorithmInventory Control PolicyInventory Control OptimizationInventory CostInventory Cost OptimizationGradient-Based AlgorithmRetrospective AlgorithmInventory Control PolicyInventory Control OptimizationInventory Cost
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  • 收藏至我的研究室書目清單書目收藏:0
Various methods have been proposed to conduct optimization via discrete-event simulation. Prevalent among these are Gradient-Based algorithms, and more recently, so-called Retrospective approaches that deterministically optimize over simulated outcomes. In this paper we compare and contrast the performance of these two approaches for the optimization of a periodic review (s, S) inventory system. This study examines the current inventory model used by a real Soap Production Plant located in Nicaragua. The main objective for this paper can be stated as follows: “The establishment of a better inventory policy and inventory cost reduction through optimization via simulation with the use of Gradient-Based and Retrospective Algorithms”. In the Methodology section the problem statement is included, as well as a detailed description and solution modeling both the Gradient-Based and the Retrospective algorithms. A comprehensive and comparative analysis of the results, conclusions and future work is also provided.
Various methods have been proposed to conduct optimization via discrete-event simulation. Prevalent among these are Gradient-Based algorithms, and more recently, so-called Retrospective approaches that deterministically optimize over simulated outcomes. In this paper we compare and contrast the performance of these two approaches for the optimization of a periodic review (s, S) inventory system. This study examines the current inventory model used by a real Soap Production Plant located in Nicaragua. The main objective for this paper can be stated as follows: “The establishment of a better inventory policy and inventory cost reduction through optimization via simulation with the use of Gradient-Based and Retrospective Algorithms”. In the Methodology section the problem statement is included, as well as a detailed description and solution modeling both the Gradient-Based and the Retrospective algorithms. A comprehensive and comparative analysis of the results, conclusions and future work is also provided.
ABSTRACT iv
TABLE OF CONTENTS v
LIST OF FIGURES vii
LIST OF TABLES viii
CHAPTER 1: INTRODUCTION 1
1.1 REASERCH PROBLEM 1
1.2 REASERCH OBJECTIVE 2
1.3 RESEARCH ORGANIZATION 3
CHAPTER 2: LITERATURE REVIEW 5
2.1 INVENTORY CONTROL POLICIES 5
2.2 (s,S) INVENTORY CONTROL POLICY 7
2.3 PERTURBATION ANALYSIS AND THE GRADIENT-BASED ALGORITHM 8
2.4 RETROSPECTIVE ALGORITHM 10
2.5 CONTRIBUTION 11
CHAPTER 3: METHODOLOGY 12
3.1 PROBLEM STATEMENT 12
3.2 PERTURBATION ANALYSIS AND GRADIENT-BASED ALGORITHM 15
3.3 RETROSPECTIVE ALGORITHM 19
CHAPTER 4: EXPERIMENTATION AND RESULTS 26
4.1 COMPANY INTRODUCTION 26
4.2 COMPANY’S CURRENT INCURRED INVENTORY COST 27
4.3 EXPERIMENTATION 29
4.3.1 GRADIENT-BASED EXPERIMENT 30
4.3.2 RETROSPECTIVE EXPERIMENT 32
4.3.3 COMPARISON OF RESULTS 35
4.3.4 ESTABLISHMENT OF A BETTER (s,S) INVENTORY MODEL 42
4.4 PERFORMANCE COMPARISON OF BOTH MODELS 43
CHAPTER 5: CONCLUSIONS AND FUTURE WORK 45
REFERENCES 47
APPENDIX A 51

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