A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process

被引:0
|
作者
Mehmet Ekmekçioğlu
Ahmet Can Kutlu
机构
[1] FORD OTOSAN,Department of Production Planning
[2] Istanbul Technical University Macka,Department of Industrial Engineering
关键词
Fuzzy Process FMEA; Fuzzy AHP; Fuzzy TOPSIS; Manufacturing process;
D O I
暂无
中图分类号
学科分类号
摘要
Process Failure Modes and Effects Analysis (PFMEA) concept, has been developed based on the success of Failure Modes and Effects Analysis (FMEA) to include a broader analysis team for the realization of a comprehensive analysis in a short time. The most common use of the PFMEA involves manufacturing processes as they are required to be closely examined against any unnatural deviation in the state of the process for producing products with consistent quality. In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are evaluated and their multiplication derives the risk priority number (RPN). However there are many shortcomings of this classical crisp RPN calculation. This study introduces a fuzzy hybrid approach that allows experts to use linguistic variables for determining S, O, and D for PFMEA by applying fuzzy ‘technique for order preference by similarity to ideal solution’ (TOPSIS) and fuzzy ‘analytical hierarchy process’ (AHP). An application to a spindle manufacturing process expresses the relevance of the fuzzy hybrid model in PFMEA.
引用
收藏
页码:611 / 626
页数:15
相关论文
共 50 条
  • [31] Hybrid GA fuzzy controller for pH process
    Valarmathi, K.
    Kanmani, J.
    Devaraj, D.
    Radhakrishnan, T. K.
    [J]. ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL IV, PROCEEDINGS, 2007, : 13 - 18
  • [32] An Improved Fuzzy MULTIMOORA Approach and Its Application in Welding Process Selection
    Ravindra Singh Saluja
    Varinder Singh
    [J]. International Journal of Fuzzy Systems, 2023, 25 : 1707 - 1726
  • [33] Application of Grey-Fuzzy Approach for Optimization of CNC Turning Process
    Palanisamy, D.
    Senthil, P.
    [J]. MATERIALS TODAY-PROCEEDINGS, 2018, 5 (02) : 6645 - 6654
  • [34] An Improved Fuzzy MULTIMOORA Approach and Its Application in Welding Process Selection
    Saluja, Ravindra Singh
    Singh, Varinder
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2023, 25 (04) : 1707 - 1726
  • [35] Supervision and Fuzzy Control of a Manufacturing Process using LabVIEW
    Zermane, H.
    Mouss, H.
    Oulmi, T.
    Hemal, S.
    [J]. 2017 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING - BOUMERDES (ICEE-B), 2017,
  • [36] Devs and Fuzzy logic to model and simulate a manufacturing process
    de Gentili, Emmanuelle
    de Cicco, Ange
    Santucci, Jean-Francois
    [J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS, 2006, : 557 - +
  • [37] Measuring the manufacturing process yield based on fuzzy data
    Shu, Ming-Hung
    Wu, Hsien-Chung
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2010, 48 (06) : 1627 - 1638
  • [38] APPLICATION OF A PROCESS FMEA FOR THE WELDING
    Krejci, Lucie
    Schindlerova, Vladimira
    Bucko, Michal
    Hlavaty, Ivo
    [J]. 27TH INTERNATIONAL CONFERENCE ON METALLURGY AND MATERIALS (METAL 2018), 2018, : 1145 - 1150
  • [39] Utility-Fuzzy-Taguchi based hybrid approach in investment casting process
    Pattnaik S.
    Karunakar D.B.
    Jha P.K.
    [J]. International Journal on Interactive Design and Manufacturing, 2014, 8 (02) : 77 - 89
  • [40] A fuzzy hybrid group decision support system approach for the supplier evaluation process
    Hashemian, Seyed Mohammad
    Behzadian, Majid
    Samizadeh, Reza
    Ignatius, Joshua
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 73 (5-8): : 1105 - 1117