- Title
- Application of fuzzy risk analysis for selecting critical processes in implementation of SPC with a case study
- Creator
- Khorshidi, Hadi; Gunawan, Indra; Nikfalazar, Sanaz
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/99939
- Identifier
- vital:10447
- Identifier
-
https://doi.org/10.1007/s10726-015-9439-5
- Identifier
- ISSN:0926-2644
- 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. © 2015, Springer Science+Business Media Dordrecht.
- Publisher
- Springer Netherlands
- Relation
- Group Decision and Negotiation Vol. 25, no. 1 (2016), p. 203-220
- Rights
- Copyright © 2015, Springer Science+Business Media Dordrecht.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 1503 Business and Management; Fuzzy risk analysis; Group decision making; Manufacturing line; Statistical process control (SPC); TOPSIS approach; Uncertainty
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