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Application of Fuzzy Risk Analysis for Selecting Critical Processes in Implementation of SPC with a Case Study

Author

Listed:
  • Hadi Akbarzade Khorshidi

    (Monash University)

  • Indra Gunawan

    (Federation University Australia)

  • Sanaz Nikfalazar

    (University of Tehran)

Abstract

Fuzzy risk analysis is widely used in risk assessment of components by linguistic terms. Fuzzy numbers are used to quantify the associated uncertainty. This study employs fuzzy risk analysis to evaluate processes for implementing statistical process control (SPC) in a specified manufacturing system. To reach this goal, fuzzy risk analysis has been applied based on both ranking and similarity of generalized trapezoidal fuzzy numbers in a stepwise procedure. Therefore, a new approach has been introduced for fuzzy risk analysis of processes to overcome the shortcomings of previous fuzzy risk analysis approaches. As a result, fuzzy risk analysis is used as a decision making technique to select critical processes under uncertainty. Also, the application of the proposed SPC implementation algorithm is illustrated in the manufacturing line of a car battery factory.

Suggested Citation

  • Hadi Akbarzade Khorshidi & Indra Gunawan & Sanaz Nikfalazar, 2016. "Application of Fuzzy Risk Analysis for Selecting Critical Processes in Implementation of SPC with a Case Study," Group Decision and Negotiation, Springer, vol. 25(1), pages 203-220, January.
    • Handle: RePEc:spr:grdene:v:25:y:2016:i:1:d:10.1007_s10726-015-9439-5
    DOI: 10.1007/s10726-015-9439-5
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    References listed on IDEAS

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    1. S. Meysam Mousavi & Fariborz Jolai & Reza Tavakkoli-Moghaddam, 2013. "A Fuzzy Stochastic Multi-Attribute Group Decision-Making Approach for Selection Problems," Group Decision and Negotiation, Springer, vol. 22(2), pages 207-233, March.
    2. Jun Ye, 2012. "Multicriteria Group Decision-Making Method Using Vector Similarity Measures For Trapezoidal Intuitionistic Fuzzy Numbers," Group Decision and Negotiation, Springer, vol. 21(4), pages 519-530, July.
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