Cross-docking is a warehousing strategy that involves moving of products from pickup nodes to delivery nodes through cross-dock in a short amount of time. This study proposed a simulated annealing heuristic (SA) to solve the vehicle routing problem with cross-docking introduced by Lee et al. (2006). The objective of the problem is to determine the number of vehicles and the best vehicle routes that minimize the sum of the operational cost of vehicles and transportation cost. Computation results show that SA can obtain better results in terms of objective function value at a slightly longer computational time.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Simulated Annealing Heuristic for the Vehicle Routing Problem with Cross-docking


    Weitere Titelangaben:

    EcoProduction


    Beteiligte:
    Golinska, Paulina (Herausgeber:in) / Yu, Vincent F. (Autor:in) / Jewpanya, Parida (Autor:in) / Perwira Redi, A. A. N. (Autor:in)


    Erscheinungsdatum :

    11.06.2014


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A Simulated Annealing Heuristic for the Green Vehicle Routing Problem

    Yasin, Moch / Yu, Vincent F. | Springer Verlag | 2013


    A Simulated Annealing Heuristic for the Heterogeneous Fleet Pollution Routing Problem

    Yu, Vincent F. / Redi, A. A. N. Perwira / Jewpanya, Parida et al. | Springer Verlag | 2018


    Simulated annealing heuristic for lot-sizing problem

    Han, L. / Wang, F. / Feng, Y. | British Library Online Contents | 1999


    A fast simulated annealing heuristic for the multi-depot two-echelon vehicle routing problem with delivery options

    Yu, Vincent F. / Lin, Shih-Wei / Zhou, Lin et al. | Taylor & Francis Verlag | 2024


    Simulated annealing metaheuristic for the Double Vehicle Routing Problem with Multiple Stacks

    Chagas, Jonatas B. C. / Silveira, Ulisses E. F. / Benedito, Marcelo P. L. et al. | IEEE | 2016