Developing a decision support system for logistics service provider selection employing fuzzy MULTIMOORA & BWM in mining equipment manufacturing

Nowadays, maximizing the production by reducing the associated risks in the supply chain and enhancing the final product quality by selecting the best providers are among the most fundamental challenges encountered within the equipment manufacturing industry worldwide. The lack of timely delivery of machines to customers and unregulated purchase of goods associated with the delivery of the machines are among the many problems faced by the manufactures. The proposed research aims to evaluate a Decision Support System (DSS) for selecting the most appropriate logistic service provider out of three service providers companies. Three companies X1, X2 and X3 were weighted and ranked using two decision-making methods, namely Fuzzy best-worst Method (FBWM) and Multiple Objective Optimizations on the basis of Ratio Analysis plus full Multiplicative Form (MULTIMOORA), considering eight criteria and their corresponding sub-criteria, respectively. Once finished with constructing the decision matrix, the analytical data being obtained from the two methods were processed using Microsoft Excel and the Lingo software. According to the results, it is concluded that Company X3 is the best logistics service provider. (C) 2020 Elsevier B.V. All rights reserved.

Automated summary

One of the fundamental challenges in the equipment manufacturing industry worldwide is to maximize production by reducing supply chain risks and improving product quality. A research evaluated a Decision Support System for selecting the best logistics service provider, concluding that Company X3 is the optimal choice.