Selection of projects for automotive assembly structures using a hybrid method composed of the group-input compatible, best-worst method for criteria weighting and TrBF-TOPSIS

Abstract

The constant search for the optimal outcome, and its associated decision-making schemes within automotive assembly projects, can be greatly enhanced by utilizing informed decision methods that access relevant information. When simulated project alternatives are developed and benchmarks established, decision makers must select the appropriate project. When differences in opinion arise between decision makers, or when selection criteria are numerous, it can be difficult to be sure the correct choice was made. This highlights the need for a method that assists decision makers, when presented with such circumstances, so that they can be sure their choice is informed and optimal. Therefore, this paper proposes the use of a hybrid best-worst method (BWM) for weighting group decision making; and a Trapezoidal Bipolar Fuzzy TOPSIS (TrBF-TOPSIS) decision making strategy. The proposed method is used in ranking twenty-one design alternatives for automotive door assembly structures. The observed results indicate that the proposed method can be a relevant tool for variable selection in automotive assembly projects that involve multiple criteria and alternative designs.