Vehicle routing problem (VRP) is used to find an optimal route for a fleet of vehicles to serve the demand of a set of customers. Green vehicle routing problem (GVRP) is a developed version of VRP, which has attracted numerous research analysts in contemporary years owing to the fact that ramification of the global warming impediments and also mounting up global economic cost. In real-world situations, the demand for any product depends upon various factors such as season, delivery time, markets stocks unavailability, and so on. Hence the demand of the customers is uncertain in real-life. In order to catch up with a real-world crisis, the uncertainty in the demand of customers, this work approaches fuzzy number. In this paper, Bi-objective Fuzzy GVRP is considered. The objectives are to minimise total transportation cost and fuel consumption. In this study, the problem of exceeding maximum tour length, transportation cost and fuel consumption in the vehicle routing problem during transportation are discussed. This problem is to be examined with the help of modified saving algorithm and the outputs are compared with classical saving algorithm.


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    Titel :

    A Modified Clarke and Wright Algorithm for Bi-objective Green Vehicle Routing Problem with Fuzzy Demand


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Kaiser, M. Shamim (Herausgeber:in) / Singh, Raghvendra (Herausgeber:in) / Bandyopadhyay, Anirban (Herausgeber:in) / Mahmud, Mufti (Herausgeber:in) / Ray, Kanad (Herausgeber:in) / Rathinabhagya, P. (Autor:in) / Vinotha, J. Merline (Autor:in)

    Kongress:

    International Conference on Trends in Computational and Cognitive Engineering ; 2023 ; Kanpur, India November 24, 2023 - November 25, 2023



    Erscheinungsdatum :

    03.06.2025


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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