臺灣博碩士論文加值系統

本研究之目的為透過失效模式與效應分析方法找出個案科技大學學生宿舍管理品質方面的問題，提出改善方案預防問題的發生。本研究提出了25項潛在的失效模式、其影響以及其可能發生的原因，透過問卷調查的方式，蒐集專家們的意見並進行彙整。計算出各失效模式的風險優先數值(RPN)後，依據風險優先數值的排名提出須優先進行改善的重點失效模式以供個案科技大學宿舍管理人員參考改善，以維持其學生宿舍的管理品質。本研究結果顯示，在25項失效模式中，風險優先數值排名前五位的失效模式分別為：1.住宿生於冬天時洗澡，熱水供應不足(RPN：112.6)；2. 異性或非住宿生進入學生宿舍(RPN：74.8);3.門禁期間，學生宿舍管理人員對住宿生的行蹤不清楚(RPN：72.2); 4.學生宿舍區的機車停車位設置不足(RPN：63);5.住宿生於門禁時間私自外出，於宿舍外發生意外(RPN：48.5)。本研究所得到的結果經個案科技大學學生宿舍管理人員採用後，再進行一次問卷調查，調查結果顯示各失效模式的風險優先數值明顯降低；由此可見，本研究之失效模式與效應分析方法能有效改善個案科技大學宿舍的管理品質。

The purpose of this study is to identify problems in the management quality of student dormitories at the case of University of Science and Technology through failure mode and effect analysis methods, and to propose improvement plans to prevent the occurrence of problems. This study proposes 25 potential failure modes, their effects and their possible causes, and collects and summarizes the opinions of experts through questionnaires. After calculating the risk priority number (RPN) of each failure mode, the key failure modes that need to be improved based on the ranking of the risk priority number are proposed for the dormitory management staff of the case University of Science and Technology to refer to and improve, so as to maintain the management quality of their student dormitories. The results of this study show that among the 25 failure modes, the top five failure modes with risk priority values are: (1) Bathing in the accommodation during winter, insufficient hot water supply (RPN: 111.1); (2) During the access control period , the student dormitory management personnel are unclear about the whereabouts of the dormitory students (RPN: 73.5); (3) Opposite-sex or non-dormitory students enter the student dormitory (RPN: 72.7); (4) There are insufficient motorcycle parking spaces in the student dormitory area (RPN: 62.7); (5) Residential students go out privately during access control hours and have accidents outside the dormitory (RPN: 50.6). The results obtained in this study were adopted by the student dormitory management staff of the case University of Science and Technology, and then a questionnaire survey was conducted. The survey results showed that the risk priority value of each failure mode was significantly reduced; it can be seen that the failure mode and effect analysis method of this study can Effectively improve the management quality of the dormitory of the case University of Science and Technology.

摘要......i
Abstract......ii
誌謝......iv
目錄......v
表目錄......vii
圖目錄......viii
第一章 緒論......1
1.1研究背景及動機......1
1.2研究目的......2
1.3研究流程......3
第二章 文獻探討......5
2.1個案科技大學簡介......5
2.1.1宿舍管理人員組成......5
2.1.2宿舍管理實施相關要點......7
2.1.3學期中離宿處理流程......10
2.1.4強制退宿處理流程......12
2.1.5宿舍突發事件......14
2.2失效模式與效應分析......15
2.2.1失效模式與效應分析之起源與歷史......15
2.2.2失效模式與效應分析之用途與使用時機......17
2.2.3失效模式與效應分析相關研究文獻......17
2.2.4小結......29
第三章 研究方法的應用及結果......30
3.1研究方法使用流程......30
3.2失效模式與效應分析資料蒐集......32
3.3失效模式與效應分析問卷設計......41
3.4問卷發放與填寫......43
3.5問卷回收與彙整......44
3.6失效模式之重要性排序......47
3.7擬定改善對策......48
3.8失效模式問卷調查預期改善成效前後對比......53
3.9預期改善後之RPN排序......57
第四章 結論與建議......59
4.1結論......59
4.2建議......59
參考文獻......60
附錄A個案科技大學學生宿舍管理之失效模式與效應分析問卷調查......64
附錄B個案科技大學學生宿舍管理改善後分析問卷調查......79
Extended Abstract......93

[1]陳顗宇(2020)，109屆宿舍自治委員會幹部手冊，28頁，國立虎尾科技大學，雲林。
[2]張雅宣(2021)，運用失效模式與效應分析改善行政流程之研究-以個案大專院校外實習為例，國立虎尾科技大學，碩士論文。
[3]Apol Pribadi Subriadi, Nina Fadilah Najwa(2020).” The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment”, Heliyon,Vol.6,Issue 1,p.e03161.
[4]Bashir Salah, Mohammed Alnahhal , Mujahid Alice(2023).” Risk prioritization using a modified FMEA analysis in industry 4.0”, Journal of Engineering Research,.
[5]Changki Park, Christos Kontovas, Zaili Yang, Chia-Hsun Chang(2023).” A BN driven FMEA approach to assess maritime cybersecurity risks”, Ocean & Coastal Management,Vol.235,p.106480.
[6]Feng Li, Laibin Zhang, Shaohua Dong, Lushuai Xu, Hang Zhang, Lin Chen(2023).” Risk assessment of bolt-gasket-flange connection (BGFC) failures at hydrogen transfer stations based on improved FMEA”, International Journal of Hydrogen Energy.
[7]Glenda Minguito, Jenith Banluta(2023).” Risk management in humanitarian supply chain based on FMEA and grey relational analysis”, Socio-Economic Planning Sciences,Vol.89,Part B.
[8]He Li, H. Díaz, C. Guedes Soares(2021).” A failure analysis of floating offshore wind turbines using AHP-FMEA methodology”, Ocean Engineering,Vol.234,p.109261.
[9]Hiluf Reda, Akshay Dvivedi(2022).” Decision-making on the selection of lean tools using fuzzy QFD and FMEA approach in the manufacturing industry”, Expert Systems with Applications,Vol.192,p.116416.
[10]Hussein David Tafur, Giacomo Barbieri, Carlos Eduardo Pereira(2021).” An FMEA-based Methodology for the Development of Control Software Reliable to Hardware Failures”, IFAC-PapersOnLine,Vol.54,Issue 1,pp.420-425.
[11]Inaam Nasrallah, Ibtissam Sabbah, Chadia Haddad, Lina Ismaiil, Jana Kotaich, Pascale Salameh, Assem EL. Kak, Rihab Nasr, Wafa Bawab(2023).” Evaluating the academic scientific laboratories' safety by applying failure mode and effect analysis (FMEA) at the public university in Lebanon”, Heliyon,Vol.9,Issue 12,p.e21145.
[12]Jianxin You, Shuqi Lou, Renjie Mao, Tao Xu,An(2022).” An improved FMEA quality risk assessment framework for enterprise data assets”, Journal of Digital Economy,Vol.1,Issue 3,pp.141-152.
[13]Jiawan Liu, Duojin Wang, Qinglian Lin, Meikui Deng(2023).” Risk assessment based on FMEA combining DEA and cloud model: A case application in robot-assisted rehabilitation”, Expert Systems with Applications,Vol214,p.119119.
[14]Jingjing Sun, Yumin Liu, Jichao Xu, Ning Wang, Feng Zhu(2023).” A probabilistic uncertain linguistic FMEA model based on the extended ORESTE and regret theory”,Computers & Industrial Engineering ,Vol.180,p.109251.
[15]Lu Zheng, Zhen He, Shuguang He(2021).” An integrated probabilistic graphic model and FMEA approach to identify product defects from social media data”, Expert Systems with Applications,Vol.178,p.115030.
[16]May Hassan ElLithy, Omar Alsamani , Hager Salah , Francis Byron Opinion , Lamyaa Samir Abdelghani(2023).” Challenges experienced during pharmacy automation and robotics implementation in JCI accredited hospital in the Arabian Gulf area: FMEA analysis-qualitative approach”, Saudi Pharmaceutical Journal,Vol.31,Issue 9,p.101722.
[17]Muhammad Usman Yousaf, Tauseef Aized, Altamash Shabbir, Muhammad Ahmad, Hafiz Zahid Nabi(2023).” Automobile rear axle housing design and production process improvement using Failure Mode and Effects Analysis (FMEA)”, Engineering Failure Analysis,Vol.154,p.107649.
[18]Nezir Aydin, Sukran Seker, Ceyda Şen(2022).” A new risk assessment framework for safety in oil and gas industry: Application of FMEA and BWM based picture fuzzy MABAC”, Journal of Petroleum Science and Engineering,Vol.219,p.111059.
[19]Peide Liu, Mengjiao Shen , Yushui Geng(2023).” Risk assessment based on Failure mode and effects analysis (FMEA) and WASPAS methods under probabilistic double hierarchy linguistic term sets”, Computers & Industrial Engineering,Vol.186,p.109758.
[20]Peter Kardosa , Patrik Lahutaa , Maria Hudakovaa(2021).” Risk Assessment Using the FMEA method in the Organization of Running Events”, Transportation Research Procedia,Vol.55,pp.1538-1546.
[21]Sajad Ebrahimi, Kimberly Vachal, Joseph Szmerekovsky(2022).” A Delphi-FMEA model to assess county-level speeding crash risk in North Dakota”, Perspectives,Vol.16, p.100688.
[22]Serap Goksu, Ozcan Arslan(2023).” A quantitative dynamic risk assessment for ship operation using the fuzzy FMEA: The case of ship berthing/unberthing operation”, Ocean Engineering,Vol.287,Part 1.
[23]Shashank Peddi, Krishnanand Lanka, PRC Gopal(2023).” Modified FMEA using machine learning for food supply chain”, Materials Today: Proceedings.
[24]Wildi Kusumasari, Yos Y. Rabung, Friska M. Ilmi, Estiara Ellizar(2022).” Assessing the safety effect through Google Maps usage: FMEA approach (Case study: Indonesia)”, Case Studies on Transport Policy,Vol.10,Issue 3,pp.1917-1929.
[25]Yang Yu, Jiu Yang, Shibo Wu(2023).” A novel FMEA approach for submarine pipeline risk analysis based on IVIFRN and ExpTODIM-PROMETHEE-II”, Applied Soft Computing,Vol.136,p.110065.
[26]Zhengmin Liu, Yingjie Zhao, Peide Liu(2023).” An integrated FMEA framework considering expert reliability for classification and its application in aircraft power supply system”, Engineering Applications of Artificial Intelligence,Vol.123,Part B,p.106319.
[27]Zhijiao Du, Sumin Yu, Zhixiang Chen(2022).” Enhanced minimum-cost conflict risk mitigation-based FMEA for risk assessment in a probabilistic linguistic context”, Computers & Industrial Engineering,Vol.174,p.108789.
[28]教育部統計處(2009)，「大專院校概況統計」，2022/05/13，取自：https://depart.moe.edu.tw/ed4500/News_Content.aspx?n=48EBDB3B9D51F2B8&sms=F78B10654B1FDBB5&s=4396A90696381274。
[29]教育部統計處(2023)，「大專院校概況統計」，2022/05/13，https://depart.moe.edu.tw/ed4500/News_Content.aspx?n=48EBDB3B9D51F2B8&sms=F78B10654B1FDBB5&s=4396A90696381274。
[30]每日頭條(2018)，「FMEA的基礎知識和發展歷史」，2023/07/06，https://kknews.cc/news/4o8l2l2.html。