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

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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.

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Authors and Affiliations

  1. Faculty of Science, School of Applied Sciences and Engineering, Monash University, Melbourne, Australia

    Hadi Akbarzade Khorshidi

  2. School of Engineering and IT, Federation University Australia, Gippsland Campus, Churchill, VIC, 3842, Australia

    Indra Gunawan

  3. Department of Public Administration, Faculty of Management, University of Tehran, 6311-14155, Tehran, Iran

    Sanaz Nikfalazar

Authors
  1. Hadi Akbarzade Khorshidi
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  2. Indra Gunawan
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  3. Sanaz Nikfalazar
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Correspondence to Hadi Akbarzade Khorshidi.

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Khorshidi, H.A., Gunawan, I. & Nikfalazar, S. Application of Fuzzy Risk Analysis for Selecting Critical Processes in Implementation of SPC with a Case Study. Group Decis Negot 25, 203–220 (2016). https://doi.org/10.1007/s10726-015-9439-5

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