應用MFM與PFMEA監控協同設計之執行流程; Applying MFM and PFMEA for the Supervisory Control of Collaborative Design Process

NCUIR > School of Management at National Central University > Graduate Institute of Industrial Management > Electronic Thesis & Dissertation > Item 987654321/11285

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Title:	應用MFM與PFMEA監控協同設計之執行流程;Applying MFM and PFMEA for the Supervisory Control of Collaborative Design Process
Authors:	彭千玲;Cian-Ling Peng
Contributors:	工業管理研究所
Keywords:	監控系統;協同設計流程;流程失效模式與效應分析;設計鏈應用參考模式;衝突管理;多層流塑模;Process Failure Mode and Effects Analysis;Supervisory System;Conflict Management;Multilevel Flow Modeling;Collaborative Design Process;Design Chain Operations Reference Model
Date:	2007-06-21
Issue Date:	2009-09-22 14:18:10 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	此篇論文主要是提出一應用MFM與PFMEA監控協同設計之執行流程的方法論。此方法論主要的目的在使設計團隊:（1）熟悉運作流程;（2）辨識流程中的主要構成因素和決定其相關的功能;（3）監控流程的潛在失效模式;（4）當失效模式被確認後，應採取適當的措施來降低風險。此篇研究結合MFM與PFMEA模型。MFM適用於複雜流程之目標與功能的描述，並且可作為分析因果關係的工具。PFMEA主要在檢驗產品或流程上的失效度，可作為風險評估的工具。在第三章中，我們詳細地描述所提出的方法論，接著在第四章中，我們所提出的方法論將應用在協同設計流程上，並且展示監控系統的設計方式。在第五章裡，以個案分析的方式來驗證所建立的協同設計流程與監控系統的執行。 The thesis proposes a methodological framework for the supervisory control of the failure modes of collaborative design process. The aim of the methodological framework is to permit design teams who: (1) are familiar with the process; (2) identify each of the main components of the process and determine functions of each of those components; (3) detect the potential failures of the design process; (4) take appropriate actions to eliminate or minimize the effects of these failures once the failure modes are identified. In this research, we integrate Multilevel Flow Modeling (MFM) with Process Failure Mode and Effects Analysis (PFMEA) to construct our methodology and provide their application for design of displays for the supervisory control of collaborative design process. MFM has been developed for the representation of goals and functions of complex process plant and it can be used as a basis for root cause analysis. PFMEA is a method that examines potential failures in products or processes and it may be used to evaluate risk management priorities for mitigating known threat-vulnerabilities. The third section of this paper is to describe proposed methodology. In the fourth section, MFM is used as a process modeling tool and its functions or components represent various design activities and design teams, and then we use PFMEA for process analysis. Additionally, we apply MFM and PFMEA to design a supervisory system for performing the tasks of collaborative monitoring and control in design chain. In the fifth section, a case study is presented to demonstrate our proposed methodology.
Appears in Collections:	[Graduate Institute of Industrial Management] Electronic Thesis & Dissertation

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