1. NCCU Academic Hub
  2. 學術產出
  3. 商學院
  4. 學位論文
  5. Item

學術產出-學位論文

文章檢視/開啟

書目匯出

Google ScholarTM

政大圖書館

引文資訊

TAIR相關學術產出

題名 模糊理論於製程失效模式與效應分析之應用——以S 公司為例
Application of Process Failure Mode and Effect Analysis Based on Fuzzy Theory—A Case Study of S Company
作者 吳悠甄
Wu, You-When
貢獻者 李易諭<br>李建德
吳悠甄
Wu, You-When
關鍵詞 失效模式與效應分析
模糊理論
繼電器產業
日期 2019
上傳時間 2-三月-2020 11:39:53 (UTC+8)
摘要 在逐漸轉型的汽車產業中，汽車的功能越來越萬全，反之一旦汽車功能停擺
時所需付出的代價也越高，為了在失效發生之前辨認潛在的失效模式，失效模式
與效應分析(Failure Mode and Effects Analysis，FMEA)即為汽車供應鏈中極為重要的風險管理工具。FMEA 透過嚴重度、發生度與難檢度三個風險因子的乘積—
風險優先數（Risk Priority Number，RPN）來作為評量失效模式的排序參考指標之一，最後依據該排序來採取失效模式的預防措施，經常應用於設計階段與製程階段。
為了改善傳統FMEA 中的幾項缺點，包含風險因子的評估過於主觀、RPN
的計算方式不合理與FMEA 的操作經驗傳承不易等，還有個案公司在使用上的
相關困擾，包含缺乏適合的評分表、相關人員的參與度與認知度的不足等，本研
究以汽車零件繼電器產業為例，藉由將模糊理論導入於PFMEA 中，將其與傳統
PFMEA 兩者的結果比較，結果顯示，導入模糊理論確實能夠解決傳統 PFMEA
的缺點以外，也同時解決個案公司部分的使用困擾。
參考文獻 孫宗瀛、楊英魁. (民83)。Fuzzy 控制: 理論, 實作與應用。台北：全華圖書。
張紹勳. (民101)。模糊多準則評估法及統計。台北：五南圖書。
繼電器。Webduino 學習手冊。民108 年7 月8 日，取自
https://tutorials.webduino.io/zh-tw/docs/basic/component/relay.html。
Andrews, K. R. (1951). Executive training by the case method. Harvard Business
Review, 29(5), 58-70.
Bell, D., Cox, L., Jackson, S., & Schaefer, P. (1992). Using causal reasoning for
automated failure modes and effects analysis (FMEA). Paper presented at the
Annual Reliability and Maintainability Symposium 1992 Proceedings.
Borgovini, R., Pemberton, S., & Rossi, M. (1993). Failure mode, effects, and
criticality analysis (FMECA). Retrieved from
https://apps.dtic.mil/dtic/tr/fulltext/u2/a278508.pdf
Bowles, J. B., & Peláez, C. E. (1995). Fuzzy logic prioritization of failures in a
system failure mode, effects and criticality analysis. Reliability Engineering &
System Safety, 50(2), 203-213.
doi:https://doi.org/10.1016/0951-8320(95)00068-D
Chiozza, M. L., & Ponzetti, C. (2009). FMEA: a model for reducing medical errors.
Clinica chimica acta, 404(1), 75-78.
Chrysler LLC, Ford Motor Company, & General Motors Corporation. (2008).
Potential Failure Modes and Effects Analysis (FMEA) Reference Manual,
Fourth Edition.
DeRosier, J., Stalhandske, E., Bagian, J. P., & Nudell, T. (2002). Using health care
failure mode and effect analysis™: the VA National Center for Patient Safety’s
prospective risk analysis system. The Joint Commission Journal on Quality
Improvement, 28(5), 248-267.
Gerring, J. (2006). Case study research: Principles and practices: Cambridge
university press.
Grand View Research. (2017). Automotive Relay Market Analysis By Product (PCB,
Plug-in, High voltage relay), By Vehicle Type, By Application (Resistive load,
Capacitive load, Inductive load), By Region, And Segment Forecasts, 2018 -
2025. Retrieved from
https://www.grandviewresearch.com/industry-analysis/automotive-relay-mark
et
Kiran, D. R. (2017). Chapter 26 - Failure Modes and Effects Analysis. In D. R. Kiran
(Ed.), Total Quality Management (pp. 373-389): United Kingdom:
Butterworth-Heinemann.
Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: theory and applications
(Vol. 574). New Jersey: Pearson Prentice Hall.
Omdahl, T. P. (1988). Reliability, Availability, and Maintainability: RAM: Dictionary:
American Society for Quality Control.
Pillay, A., & Wang, J. (2003). Modified failure mode and effects analysis using
approximate reasoning. Reliability Engineering & System Safety, 79(1), 69-85.
doi:https://doi.org/10.1016/S0951-8320(02)00179-5
Rakesh, R., Jos, B. C., & Mathew, G. (2013). FMEA analysis for reducing
breakdowns of a sub system in the life care product manufacturing industry.
International Journal of Engineering Science and Innovative Technology
(IJESIT), 2(2), 218-225.
ReportBuyer Ltd. (2015). China Relay Industry Report, 2015-2018. Retrieved from
https://www.reportbuyer.com/product/3305882/china-relay-industry-report-20
15-2018.html
Sharma, R. K., Kumar, D., & Kumar, P. (2005). Systematic failure mode effect
analysis (FMEA) using fuzzy linguistic modelling. International Journal of
Quality & Reliability Management, 22(9), 986-1004.
Song, W., Ming, X., Wu, Z., & Zhu, B. (2014). A rough TOPSIS approach for failure
mode and effects analysis in uncertain environments. Quality and Reliability
Engineering International, 30(4), 473-486. doi:10.1002/qre.1500
Stamatis, D. H. (2003). Failure mode and effect analysis: FMEA from theory to
execution: ASQ Quality press.
Wang, L. X. (1997). A course in fuzzy systems and control (Vol. 2). New Jersey:
Pearson Prentice Hall.
Wang, Y. M., Chin, K. S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in
failure mode and effects analysis using fuzzy weighted geometric mean.
Expert Systems with Applications, 36(2), 1195-1207.
Xu, K., Tang, L. C., Xie, M., Ho, S. L., & Zhu, M. L. (2002). Fuzzy assessment of
FMEA for engine systems. Reliability Engineering & System Safety, 75(1),
17-29. doi:https://doi.org/10.1016/S0951-8320(01)00101-6
Yin, R. K. (1994). Case study research: Design and methods. New York: Sage
publications.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
doi:https://doi.org/10.1016/S0019-9958(65)90241-X
Zadeh, L. A. (1973). Outline of a new approach to the analysis of complex systems
and decision processes. IEEE Transactions on Systems, Man, and Cybernetics,
SMC-3(1), 28-44. doi:10.1109/TSMC.1973.5408575
描述 碩士
國立政治大學
企業管理研究所(MBA學位學程)
106363082
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0106363082
資料類型 thesis
dc.contributor.advisor 李易諭<br>李建德zh_TW
dc.contributor.author (作者) 吳悠甄zh_TW
dc.contributor.author (作者) Wu, You-Whenen_US
dc.creator (作者) 吳悠甄zh_TW
dc.creator (作者) Wu, You-Whenen_US
dc.date (日期) 2019en_US
dc.date.accessioned 2-三月-2020 11:39:53 (UTC+8)-
dc.date.available 2-三月-2020 11:39:53 (UTC+8)-
dc.date.issued (上傳時間) 2-三月-2020 11:39:53 (UTC+8)-
dc.identifier (其他 識別碼) G0106363082en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/129001-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 企業管理研究所(MBA學位學程)zh_TW
dc.description (描述) 106363082zh_TW
dc.description.abstract (摘要) 在逐漸轉型的汽車產業中，汽車的功能越來越萬全，反之一旦汽車功能停擺
時所需付出的代價也越高，為了在失效發生之前辨認潛在的失效模式，失效模式
與效應分析(Failure Mode and Effects Analysis，FMEA)即為汽車供應鏈中極為重要的風險管理工具。FMEA 透過嚴重度、發生度與難檢度三個風險因子的乘積—
風險優先數（Risk Priority Number，RPN）來作為評量失效模式的排序參考指標之一，最後依據該排序來採取失效模式的預防措施，經常應用於設計階段與製程階段。
為了改善傳統FMEA 中的幾項缺點，包含風險因子的評估過於主觀、RPN
的計算方式不合理與FMEA 的操作經驗傳承不易等，還有個案公司在使用上的
相關困擾，包含缺乏適合的評分表、相關人員的參與度與認知度的不足等，本研
究以汽車零件繼電器產業為例，藉由將模糊理論導入於PFMEA 中，將其與傳統
PFMEA 兩者的結果比較，結果顯示，導入模糊理論確實能夠解決傳統 PFMEA
的缺點以外，也同時解決個案公司部分的使用困擾。		zh_TW
dc.description.tableofcontents 謝辭 I
摘要 II
目次 III
表次 V
圖次 VI
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 2
第三節 研究流程 3
第二章 文獻探討 4
第一節 失效模式與效應分析 4
第二節 模糊理論 12
第三節 模糊失效模式與效應分析 20
第三章 研究方法 22
第一節 研究架構 22
第二節 研究方法 24
第三節 個案研究使用之分析工具 26
第四章 個案分析 37
第一節 產業介紹 37
第二節 個案介紹 38
第三節 傳統製程失效模式與效應分析 43
第四節 模糊製程失效模式與效應分析 50
第五節 綜合分析 56
第五章 結論與建議 58
第一節 研究結論 58
第二節 管理意涵與未來研究建議 60
第三節 研究限制 62
參考文獻 63
附錄一、訪談摘要 65
附錄二、水平展開追蹤表 68		zh_TW
dc.format.extent 8636163 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0106363082en_US
dc.subject (關鍵詞) 失效模式與效應分析zh_TW
dc.subject (關鍵詞) 模糊理論zh_TW
dc.subject (關鍵詞) 繼電器產業zh_TW
dc.title (題名) 模糊理論於製程失效模式與效應分析之應用——以S 公司為例zh_TW
dc.title (題名) Application of Process Failure Mode and Effect Analysis Based on Fuzzy Theory—A Case Study of S Companyen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) 孫宗瀛、楊英魁. (民83)。Fuzzy 控制: 理論, 實作與應用。台北：全華圖書。
張紹勳. (民101)。模糊多準則評估法及統計。台北：五南圖書。
繼電器。Webduino 學習手冊。民108 年7 月8 日，取自
https://tutorials.webduino.io/zh-tw/docs/basic/component/relay.html。
Andrews, K. R. (1951). Executive training by the case method. Harvard Business
Review, 29(5), 58-70.
Bell, D., Cox, L., Jackson, S., & Schaefer, P. (1992). Using causal reasoning for
automated failure modes and effects analysis (FMEA). Paper presented at the
Annual Reliability and Maintainability Symposium 1992 Proceedings.
Borgovini, R., Pemberton, S., & Rossi, M. (1993). Failure mode, effects, and
criticality analysis (FMECA). Retrieved from
https://apps.dtic.mil/dtic/tr/fulltext/u2/a278508.pdf
Bowles, J. B., & Peláez, C. E. (1995). Fuzzy logic prioritization of failures in a
system failure mode, effects and criticality analysis. Reliability Engineering &
System Safety, 50(2), 203-213.
doi:https://doi.org/10.1016/0951-8320(95)00068-D
Chiozza, M. L., & Ponzetti, C. (2009). FMEA: a model for reducing medical errors.
Clinica chimica acta, 404(1), 75-78.
Chrysler LLC, Ford Motor Company, & General Motors Corporation. (2008).
Potential Failure Modes and Effects Analysis (FMEA) Reference Manual,
Fourth Edition.
DeRosier, J., Stalhandske, E., Bagian, J. P., & Nudell, T. (2002). Using health care
failure mode and effect analysis™: the VA National Center for Patient Safety’s
prospective risk analysis system. The Joint Commission Journal on Quality
Improvement, 28(5), 248-267.
Gerring, J. (2006). Case study research: Principles and practices: Cambridge
university press.
Grand View Research. (2017). Automotive Relay Market Analysis By Product (PCB,
Plug-in, High voltage relay), By Vehicle Type, By Application (Resistive load,
Capacitive load, Inductive load), By Region, And Segment Forecasts, 2018 -
2025. Retrieved from
https://www.grandviewresearch.com/industry-analysis/automotive-relay-mark
et
Kiran, D. R. (2017). Chapter 26 - Failure Modes and Effects Analysis. In D. R. Kiran
(Ed.), Total Quality Management (pp. 373-389): United Kingdom:
Butterworth-Heinemann.
Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic: theory and applications
(Vol. 574). New Jersey: Pearson Prentice Hall.
Omdahl, T. P. (1988). Reliability, Availability, and Maintainability: RAM: Dictionary:
American Society for Quality Control.
Pillay, A., & Wang, J. (2003). Modified failure mode and effects analysis using
approximate reasoning. Reliability Engineering & System Safety, 79(1), 69-85.
doi:https://doi.org/10.1016/S0951-8320(02)00179-5
Rakesh, R., Jos, B. C., & Mathew, G. (2013). FMEA analysis for reducing
breakdowns of a sub system in the life care product manufacturing industry.
International Journal of Engineering Science and Innovative Technology
(IJESIT), 2(2), 218-225.
ReportBuyer Ltd. (2015). China Relay Industry Report, 2015-2018. Retrieved from
https://www.reportbuyer.com/product/3305882/china-relay-industry-report-20
15-2018.html
Sharma, R. K., Kumar, D., & Kumar, P. (2005). Systematic failure mode effect
analysis (FMEA) using fuzzy linguistic modelling. International Journal of
Quality & Reliability Management, 22(9), 986-1004.
Song, W., Ming, X., Wu, Z., & Zhu, B. (2014). A rough TOPSIS approach for failure
mode and effects analysis in uncertain environments. Quality and Reliability
Engineering International, 30(4), 473-486. doi:10.1002/qre.1500
Stamatis, D. H. (2003). Failure mode and effect analysis: FMEA from theory to
execution: ASQ Quality press.
Wang, L. X. (1997). A course in fuzzy systems and control (Vol. 2). New Jersey:
Pearson Prentice Hall.
Wang, Y. M., Chin, K. S., Poon, G. K. K., & Yang, J. B. (2009). Risk evaluation in
failure mode and effects analysis using fuzzy weighted geometric mean.
Expert Systems with Applications, 36(2), 1195-1207.
Xu, K., Tang, L. C., Xie, M., Ho, S. L., & Zhu, M. L. (2002). Fuzzy assessment of
FMEA for engine systems. Reliability Engineering & System Safety, 75(1),
17-29. doi:https://doi.org/10.1016/S0951-8320(01)00101-6
Yin, R. K. (1994). Case study research: Design and methods. New York: Sage
publications.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
doi:https://doi.org/10.1016/S0019-9958(65)90241-X
Zadeh, L. A. (1973). Outline of a new approach to the analysis of complex systems
and decision processes. IEEE Transactions on Systems, Man, and Cybernetics,
SMC-3(1), 28-44. doi:10.1109/TSMC.1973.5408575		zh_TW
dc.identifier.doi (DOI) 10.6814/NCCU202000296en_US