Highlights The paper investigates the efficiency of the Brazilian Rail Cargo System. The methodology combined TOPSIS with a genetic algorithm to build optimized scenarios. The significant attributes in scenarios of low and high performance were highlighted. Transport of any kind of cargo, and shared railway are significant for the results. Competition and diversification are key elements for high performance.

    Abstract A railway system plays a significant role in countries with large territorial dimensions. The Brazilian rail cargo system (BRCS), however, is focused on solid bulk for export. This paper investigates the extreme performances of BRCS through a new hybrid model that combines TOPSIS with a genetic algorithm for estimating the weights in optimized scenarios. In a second stage, the significance of selected variables was assessed. The transport of any type of cargo, a centralized control of the operation, and sharing the railway track pushing competition, and the diversification of services are significant for high performance. Public strategies are discussed.


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    Title :

    Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios


    Contributors:


    Publication date :

    2020-01-17




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






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