臺灣博碩士論文加值系統

本研究旨在發展一套維護人員與管理決策者在執行系統修復任務時，可以據以運行之維修機制─故障復原管理機制。隨著系統電子化和模組化程度的提高，也增加了人員維修判斷上的複雜性與專業性；因此，維修過程中對於工作內容認知上的適切性以及修復能力的要求便因應而生。此外，後勤單位大量的日常維修文件資料中內含著許多有用的資訊可供應系統管理決策者來參考，所以表單資料的妥善管理與應用在這方面是不容忽視的。
從知識管理的角度來看，不論是維修人員的工作經驗或是日常記錄的維修資料，均對於系統維護品質的提升存在著其高度的價值。本研究的模式發展以台北市現行柴油燃料公車系統的維修(護)單位為實證對象。首先，使用失效模式與效應分析技術，在以可靠度為中心的維護度觀念模式下進行系統可用度的評估及相關資料的收集，提供管理決策單位對於運行中系統績效和品質上的了解，以期尋求改善之道。其次，以考慮維護人員的認知型態，利用知識獲得與人機介面發展的技術和工具建立出維修任務分析的模式以及故障診斷型的專家系統，使其達到維修人員快速無誤地解決問題上的能力要求。
整合上述的模式形成以知識為基礎的故障復原管理機制，不僅將人員經驗與表單資料做系統化的處理與應用，亦彌補了過去文獻理論上的不足，而且有助於提升現場維修的能力及增加系統運行時的可靠性和安全性。根據本研究所建構的方式與成果亦適用於其它系統的後勤維修單位上面；此外，並對於人才高流動率所造成的困擾，諸如：網路、通訊、電子、半導體等高科技相關產業來說，提供了良好的知識管理架構的程序，進而使得產業在升級中無人才匱乏或斷層之憂慮。

The formation of knowledge architecture is getting more important and is demanded by maintenance environment. In this research, a methodology for knowledge identification of a logistic section of a bus system was presented, and an effective, adaptive, and practical knowledge management mechanism named fault recovery management mechanism (FRMM) was developed to implement the proposed strategy for administrator.
Based on a cognitive analysis of maintenance tasks, a knowledge-based framework was developed through using expert system technology to provide immediate, context-sensitive feedback for maintenance engineers on problem solving. Moreover, the reliability-centered maintenance (RCM) model offers an intelligent computer-aided critical analysis process to report system breakdown for policymaker and then improves the system quality.
The referred example shows how the maintenance protocol might represent a few of the key dimensions and integration in the maintainers’ mental model for implementing these tasks in a bus system. As a result, the FRMM provides valuable information in understanding fault events, and the information analysis can be used to other hazard assessment activities.
Although this study presents a FRMM process for a bus system, these procedures could be useful in the logistic maintenance of other systems. The FRMM conceptual model could serve as a guide for other similar logistic systems to prevent maintainer errors and for the different kinds of high technological industrial that need to manage a domain-specific knowledge.

Cover
摘要
ABSTRACT
誌謝辭
CONTENTS
LIST OF FIGURES
LIST OF TABLES
CHAPTER 1
1.1 MOTIVATION
1.2 BACKGROUNDS AND OBJECTIVE
1.3 ASSUMPTIONS AND DOMAIN SPECIFICATION
1.4 RESEARCH FRAMEWORK
CHAPTER 2 LITERATURE REVIEW
2.1 RELIABILITY-CENTERED MAINTENANCE (RCM)
2.2 KNOWLEDGE-BASED EXPERT SYSTEM (KBES)
2.3 USER/EXPERT SYSTEM INTERFACE DEVELOPMENT
CHAPTER 3 FAULT RECOVERY MANAGEMENT MECHANISM (FRMM)
3.1 A FRMM FOR MAINTENANCE TASKS
3.2 A FLOW CHART OF THE FRMM MODEL CONSTRUCTION
CHAPTER 4 MANAGEMENT ASPECT: RELIABILITY-CENTERED MAINTENANCE (RCM)
4.1 THE IMPROVED RCM FRAMEWORK
4.2 STATISTICAL METHOD IN FORMULATING KEY RELIABILITY
4.3 FAILURE MODES AND EFFECTS ANALYSIS (FMEA) TECHNIQUE IN DISCOVERING KEY MAINTENANCE COMPONENTS
4.4 CRITICAL EVENTS REASSESSMENT
4.5 DISCUSSIONS
CHAPTER 5 TECHNIQUE ASPECT: KNOWLEDGE-BASED EXPERT SYSTEM (KBES)
5.1 A USER/EXPERT SYSTEM INTERFACE DEVELOPMENT FOR MAINTENANCE TASKS
5.2 A PRACTICAL FRAMEWORK FOR INVESTIGATING COGNITIVE AND RECOVERY TASKS
5.3 THE PROCESS OF MAINTENANCE PROTOCOL DEVELOPMENT & ICAM DEFINITION0 ( IDEF0)
5.4 REPRESENTATIONS AND EVALUATION OF THE SYSTEM
5.5 IMPLICATIONS
CHAPTER 6 CONCLUSIONS
6.1 CONTRIBUTIONS
6.2 SUGGESTIONS AND FUTURE RESEARCH REFERENCES APPENDICES
REFERENCES
APPENDICES
APPENDIX ONE: DATA COLLECTION AND ANALSIS
APPENDIX TWO: FMEA TABLE(EXAMPLE)
APPENDIX THREE:FMEA SCORECARD (EXAMPLE)
APPENDIX FOUR:CRITICAL EVENT REASSESSMENT
APPENDIX FIVE: MBTI QUESTIONNAIRE
APPENDIX SIX: A SCORING KEY OF MBTI QUESTIONNAIRE

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