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

Hadi Akbarzade Khorshidi (), Indra Gunawan () and Sanaz Nikfalazar ()
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Hadi Akbarzade Khorshidi: Monash University
Indra Gunawan: Federation University Australia
Sanaz Nikfalazar: University of Tehran

Group Decision and Negotiation, 2016, vol. 25, issue 1, No 9, 203-220

Abstract: 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.

Keywords: Fuzzy risk analysis; Statistical process control (SPC); Uncertainty; TOPSIS approach; Group decision making; Manufacturing line (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s10726-015-9439-5

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