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 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. [ABSTRACT FROM AUTHOR]