Decision making in an automobile industry with triangular fuzzy analytical hierarchical process and Pareto analysis

In recent times, Fuzzy analytical hierarchy process (FAHP) has become one of the most extensively utilized techniques in Multi Criteria Decision Making (MCDM). Decision making is a difficult activity which requires consideration of a variety of factors and evaluation criteria. The article discusses...

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Bibliographic Details
Main Authors: Pavishetti, Sai Krishna, Palakurthy, Sai Teja
Format: Conference Proceeding
Language:English
Subjects:
Analytic hierarchy process
Automobile industry
Criteria
Decision analysis
Decision making
Design improvements
Fuzzy sets
Hierarchies
Manufacturing
Mathematical analysis
Pareto analysis
Uncertainty
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Summary:In recent times, Fuzzy analytical hierarchy process (FAHP) has become one of the most extensively utilized techniques in Multi Criteria Decision Making (MCDM). Decision making is a difficult activity which requires consideration of a variety of factors and evaluation criteria. The article discusses how the decision-making process is enhanced by the use of fuzzy AHP in an automobile manufacturing unit. Numerous advanced economies owe their existence to the automobile sector. While manufacturing in automobile industry is a well-established process, decision making remains rather perplexing. Making decisions at an automobile manufacturing facility is a complicated MDCM problem that includes a series of criteria and expert judgement, as well as uncertainty and subjectivity. Triangular fuzzy set is an extremely effective notion for dealing with uncertainty because it presents a broader decision-making region and identifies ambiguity. This work proposes a fuzzy MDCM technique based on triangular fuzzy AHP for managing the decision-making problem under complex and ambiguous circumstances. There are four key departments: design, production, quality, and training. Each department has six decision criteria, for a total of 24. Additionally, the Pareto principle is applied to the Fuzzy AHP results to focus on a few critical variables rather than a larger collection of less important variables, yielding in the best results. This study suggests that the seven prominent decision factors are planning, encouragement and assistance, technology adaptation, expertise in inspection, knowledge and expertise, exploring methods for improved design, and adhere to safety standards in an automobile manufacturing unit.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0195012