Optimal Fiber Selection for Automobile Roof Top Application Using a Multi Criteria Decision-Making Framework

Abstract

In this paper, a comprehensive study was conducted on the selection of various fibers for automotive applications using two Multi-criteria decision-making (MCDM) procedures. These techniques are the Analytical Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The selection of fiber materials is essential for maximizing the performance, low running cost, and less environmental effect in automotive applications. In many cases, the selection of fiber is done based on experience or random approaches that involve trial and error. However, the multi-criteria decision making (MCDM) methods offer a methodical approach to the management of complex problems by considering numerous criteria at the same time. AHP is used to determine the relative significance of each criterion, whereas TOPSIS is used to rank the fibers based on how close they are to an ideal solution. The findings highlight the need to make crucial decisions, which can offer an appropriate insight into selecting materials for automobiles from among a good variety of alternatives. Different Weightage structures used in the paper are helpful is assessing the robustness of the solution. Therefore, the researchers can directly employ these strategies which rely on simple mathematics, which can guarantee an appropriate solution for a difficult decision-making problem.