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.
Highlights
The notice of China’s “13th Five-Year Plan for Energy Conservation and EmissionReduction” required the proportion of coal in total energy consumption to be reduced to less than 58% by 2020, and at the same time, vigorously promoted the “return to the railway.”The China Railway Corporation required the national railway coal transport volume to reach 2.81 billion tons by 2020, accounting for 75% of the national coal output
In the “Carbon Peaking Action Plan by 2030” issued by the State Council of China, it is mentioned that the growth of coal consumption should be strictly and rationally controlled during the 14th Five-Year Plan period, which will gradually decrease during the 15th Five-Year Plan period
By 2025, the proportion of non-fossil energy consumption will reach about 20%, energy consumption per unit of GDP will drop by 13.5% from 2020, and carbon dioxide emissions per unit of GDP will drop by 18% from 2020, laying a solid foundation for achieving carbon peaks
Summary
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
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