Selection of Coal Transportation Company Based on Fuzzy SWARA-COPRAS Approach

Author:

Xiang ZiquanORCID,Naseem Muhammad HamzaORCID,Yang Jiaqi

Abstract

Background: Coal production and marketing enterprises can significantly reduce transportation costs and improve their competitiveness by choosing appropriate road transportation companies. Methods: Based on this, a trapezoidal fuzzy SWARA-COPRAS method is proposed to select coal transportation companies. The trapezoidal fuzzy SWARA method is used to determine the index weight of coal transportation companies. The ranking of coal transportation companies is determined using the trapezoidal fuzzy COPRAS method. Results: Taking a coal production and marketing enterprise in Hubei, China as an example, the application of the trapezoidal fuzzy SWARA-COPRAS method is illustrated, and the coal transportation companies are sorted and analyzed for sensitivity. Conclusions: Compared with the results of other methods, the effectiveness and practicability of the trapezoidal fuzzy SWARA-COPRAS method are verified.

Publisher

MDPI AG

Subject

General Engineering

Reference35 articles.

1. A mixed-integer non-linear program to model dynamic supplier selection problem

2. An integrated fuzzy approachfor strategic alliance partner selection in third-party logistics;Burak;Sci. World J.,2013

3. A heuristic method for the supplier selection and order quantity allocation problem;Avelina;Appl. Math. Model.,2021

4. The adoption of vendor managed inventory for hospital pharmaceutical supply

5. Raw material supplier selection with analytics hierarchy process (ahp) method;Irmayanti,2020

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