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研究生:莫卡夫
研究生(外文):Tair Mukhanov
論文名稱:MES導入的成功因素(以貴金屬製造產業為例)
論文名稱(外文):Success Factors for MES Implementation in the Rare Metals Production Industry
指導教授:陳鴻基陳鴻基引用關係
指導教授(外文):Houn-Gee Chen
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:企業管理碩士專班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:65
中文關鍵詞:MES 導入的成功因素(以貴金屬製造產業為例)
外文關鍵詞:Manufacturing Execution SystemsLean ManufacturingReal-Time EnterpriseOperational and Financial MetricsContinuous and Discrete process industry
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As industrialized nations compete more often against the low manufacturing costs of developing countries, manufacturing businesses are implementing Manufacturing Execution Systems (MES) to increase productivity, improve quality and reduce downtime. MES solutions can greatly enhance the results obtained by today’s continuous improvement strategies like Six Sigma, Lean, and Total Quality Management. These improvement strategies all require the ability to gather timely and accurate measurements of a process in order to create improvement initiatives.
The research contained in this thesis explores the most effective practices for strategic improvement applied today in continuous-process manufacturing. The two most popular strategy initiatives today; Lean and Total Quality Management, originated from Toyota and Motorola, respectively. These companies are discrete-process manufacturers therefore, the evolution and development of the two methodologies has focused mostly on improvement in discrete-process manufacturing. Due to the fact that much less development work has been done concerning the implementation of Lean and Total Quality Management initiatives in continuous-process manufacturing, this thesis explores this area.
Abstract iii
Contents iv
List of Figures and Tables vi
CHAPTER ONE: INTRODUCTION 1
1. Introduction 1
CHAPTER TWO: LITERATURE REVIEW 3
2.1. Strategic initiatives 3
2.1.1. Lean Manufacturing 3
2.1.2. Quality and regulatory compliance 12
2.1.3. Real Time Enterprise 15
2.2. Manufacturing metrics 18
2.2.1 Objectives 18
2.2.2. Financial Metrics 19
2.2.3. Operational Metrics 20
2.2.4. Metrics Framework 21
2.3. MES functions 27
CHAPTER THREE: RESEARCH METHODS 29
1. Purpose of research 29
2. Research procedure 30
3. The Sampling 30
4. Questionnaire design 31
CHAPTER FOUR: RESEARCH RESULTS 33
1. Lean Manufacturing 34
2. Total Quality Management 38
3. Real-Time Enterprise 42
CHAPTER FIVE: CONCLUSION 48
1. Success factors 48
2. MES solutions today 49
3. Implementation 51
References 53
Appendix 1. 58
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57
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