Cross-docking is a practice in logistics in which shipments are directly moved from an inbound truck into an outbound truck. A recognized problem in this domain is the assignment of trucks to doors in a way that the distance to be traveled between the doors is minimized. This problem is known as the cross-dock door assignment problem (CDAP). The purpose of this paper is to present a novel algorithm that minimizes the traveling distance of the handling machines when moving cargo from an inbound truck to an outbound truck. A lot of research has been conducted regarding this topic; still, up to our knowledge, none used scatter search (SS). This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). The results indicate that the SS algorithm outperformed the GA, particularly for large-sized problems with a diverse reference set.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Natural Optimization Algorithms for the Cross-Dock Door Assignment Problem


    Contributors:


    Publication date :

    2016-08-01


    Size :

    1384147 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Dock door access apparatus

    European Patent Office | 2021

    Free access


    LOADING DOCK AUTOMATED TRAILER DOOR SYSTEMS

    HOOFARD RICHARD K / WHITLEY L BLAKE / DAY DARYL et al. | European Patent Office | 2022

    Free access

    DOCK DOOR AUTOMATION SYSTEM AND METHOD

    AVALOS ROBERT PAUL | European Patent Office | 2024

    Free access