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研究生： 林仲璋
Jong-Jang Lin
論文名稱： 在風險移轉效應下系統支援服務之最佳多指標議約架構
Optimal multi-criterion contracting framework for system-support-service under risk-transfer effect
指導教授： 葉瑞徽
Ruey-Huei Yeh
林義貴
Yi-Kuei Lin
口試委員: 陳銘芷
Ming-Chin Chen
劉正祥
Cheng-Hsiang Liu
林谷鴻
Gu-Hong Lin
王逸琦
Yi-Chi Wang
紀佳芬
Chia-Fen Chi
學位類別： 博士
Doctor
系所名稱： 管理學院 - 工業管理系
Department of Industrial Management
論文出版年： 2017
畢業學年度： 105
語文別： 英文
論文頁數： 82
中文關鍵詞： 效益議約 、多指標效益議約架構 、風險移轉 、維修政策 、韋伯壽命分配 、系統支持服務 、噴射發動機
外文關鍵詞： Performance-based contracting (PBC), Multi-performance criterion contracting (MPC) framework, Risk-transfer, Maintenance policy, Weibull lifetime distribution, System-support service, Jet-engine
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    • 鑑於如噴射發動機的工程系統為滿足日益增加的操作需求，而使系統日趨複雜及昂貴，故包含維護、修理及翻修的系統支援服務在工程經濟領域中佔有獨特的一席之地。近年來，我們觀察到新的效益議約策略正橫跨服務及製造產業。但環顧有關效益議約文獻，普遍忽略了針對風險移轉效應、服務利潤及激勵機制的深入分析。為克服現有效益議約文獻上的限制，本論文從系統委託方觀點提出一種以風險移轉為基礎之多指標議約架構及單指標議約架構。此外，本論文亦展示如何將多指標議約架構有效應用於實際的噴射發動機維修支援服務案例，暨有效推導其管理內涵。案例分析發現激勵機制需同時具備獎勵及懲罰條款，方能使系統委託方的風險移轉效應最大。本論文的貢獻可分為三個層面：首先，理論部分發展了可深入分析量測風險移轉效應的多指標議約架構；其次，管理層面釐清因激勵機制，成本降低及內控差異引發的管理問題；及最後，提出有助於管理決策和提出政策建議的見解。

    The system-support service (maintenance, repair, and overhaul) constitutes a significant portion of the industrial economy as engineered systems, such as jet engines, have becoming progressively expensive and complex to satisfy ever-increasing operational demands. Recently, a new performance-based contracting (PBC) strategy has been observed across both service and manufacturing industries. However, extant literature on PBC strategies has generally overlooked an in-depth analysis of the risk-transfer effect, service profits, and incentive mechanisms considering maintenance policy. This dissertation overcomes the limitations in extant PBC strategy-related literature by proposing a risk-based, multi-performance criterion-contracting (MPC) framework from the perspective of the principal (customer). Further, this dissertation demonstrates how the MPC framework is effectively applied in a practical jet engine support service case, and derives managerial insights. The case analysis results indicate that the incentive mechanism must simultaneously exist in both the incentive and punishment terms to obtain a maximum risk-transfer effect. This dissertation’s contributions are threefold: First, it develops a theoretical MPC framework to study the aforementioned issues and analyze risk-transfer effects. Second, it distinguishes the managerial issues arising among incentive mechanisms, cost reductions, and inner-controlling variances. Finally, it proposes insights that aid managerial decisions and provides policy recommendations.

    摘要 I ABSTRACT II ACKNOWLEDGEMENT III CONTENT IV LIST OF FIGURES VII LIST OF TABLES VIII CHAPTER 1 INTRODUCTION 1 1.1 Research background 1 1.2 Jet-engine support service practice 5 1.3 Research objectives 7 1.4 Organization of dissertation 7 CHAPTER 2 LITERATURE REVIEW 10 2.1 Strategy and policy 10 2.1.1 Performance-based contracting strategy 10 2.1.2 Maintenance Policy 12 2.2 Theoretical perspectives 13 2.2.1 Principal-agent theory 13 2.2.2 Risk sharing 14 CHAPTER 3 DEVELOPMENT OF PERFORMANCE-BASED CONTRACTING STRATEGY 15 3.1 Repair process 16 3.2 Formulation for cost, performance criterion and risk aversion 17 3.2.1 Cost formulation 18 3.2.2 Multi-performance criterion formulation 18 3.2.3 Risk-aversion attitude 21 3.3 General case: multiple performance criterion contracting (MPC) framework 22 3.4 Special case: single performance criterion contracting (SPC) framework 25 3.5 Contracting problem 27 3.5.1 Multi-performance criterion contracting problem (general case) 27 3.5.2 Single-performance criterion contracting problem (special case) 29 3.6 Performance criterion 29 3.7 Determinant variables analysis of the MPC framework 30 CHAPTER 4 DEVELOPMENT OF MAINTENANCE POLICY COST 32 4.1 Reliability measure 32 4.1.1 Basic assumption 33 4.1.2 Weibull lifetime distribution 34 4.2 Maintenance policy, action and method 37 4.2.1 Minimal repair method 38 4.2.2 Age reduction method 40 4.2.3 Failure rate reduction method 42 4.3 Maintenance policy cost with various CM and PM action 45 4.3.1 Policy with minimal repair and age reduction method 46 4.3.2 Policy with minimal repair and fixed failure rate reduction method 47 4.3.3 Policy with minimal repair and replacement method 48 4.4 Optimal time for PM action 50 CHAPTER 5 DEMONSTRATION OF THE MPC FRAMEWORK AND COMPARISON ANALYSIS 52 5.1 Case background 52 5.2 Maintenance policy cost 54 5.3 Optimal contracting scheme with/without crucial criterion holds 57 5.4 Perspective analysis for the SP 60 5.4.1 Cost reduction 60 5.4.2 Inner controlling uncertainty variance 62 CHAPTER 6 CONCLUSION AND FURTHER RESEARCH 65 6.1 Conclusion 65 6.2 Further research 66 REFERENCE 68 Appendix 1 Notations 75 作者簡介 79

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