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

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....

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Bibliographic Details
Published in:Group decision and negotiation 2016-01, Vol.25 (1), p.203-220
Main Authors: Khorshidi, Hadi Akbarzade, Gunawan, Indra, Nikfalazar, Sanaz
Format: Article
Language:English
Subjects:
Algorithms
Biological and Physical Anthropology
Business and Management
Case studies
Decision making
Failure
Fuzzy sets
Groups
Linguistics
Manufacturing
Process controls
Product lines
Risk assessment
Similarity measures
Statistical analysis
Statistical process control
Uncertainty
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Summary: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.
ISSN:0926-2644
1572-9907
DOI:10.1007/s10726-015-9439-5