Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Application of fuzzy risk analysis for selecting critical processes in implementation of SPC with a case study
Author: Khorshidi, H.
Gunawan, I.
Nikfalazar, S.
Citation: Group Decision and Negotiation, 2016; 25(1):203-220
Publisher: Springer
Issue Date: 2016
ISSN: 0926-2644
Statement of
Hadi Akbarzade Khorshidi, Indra Gunawan, Sanaz Nikfalazar
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
Description: First online: 08 April 2015
Rights: © Springer Science+Business Media Dordrecht 2015
RMID: 0030042542
DOI: 10.1007/s10726-015-9439-5
Appears in Collections:Entrepreneurship, Commercialisation, and Innovation Centre publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.