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EFFECT OF PACKAGE-TO-TRUCK ASSIGNMENT ON MATERIAL HANDLING WORKFLOW AT CROSS-DOCKING HUB IN A LAST MILE DELIVERY SYSTEM.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: EFFECT OF PACKAGE-TO-TRUCK ASSIGNMENT ON MATERIAL HANDLING WORKFLOW AT CROSS-DOCKING HUB IN A LAST MILE DELIVERY SYSTEM.
Συγγραφείς: Egbelu, Pius1 pegbelu@njit.edu, Sylla, Cheickna2, Malyack, Colette3
Πηγή: Proceedings for the Northeast Region Decision Sciences Institute (NEDSI). 2026, p641-665. 25p.
Θεματικοί όροι: *Materials handling, *Warehouse management, *Cross-docking (Logistics), *Delivery of goods, *Process optimization, Assignment problems (Programming), Genetic algorithms
Περίληψη: The lifeblood of a cross-docking warehouse is the material handling system (MHS). In a crossdocking warehouse, items arrive at the facility and, with minimal dwell time, are transferred to and loaded onto outbound trucks for shipment to their next destinations. The item transfers are executed by the MHS. The total material-handling distance traveled per day's operation depends on the flow intensities and patterns between the inbound and outbound docks. The flow patterns and intensities between pairs of docks depend on the load contents of the trucks docking at the docks. The contents of inbound trucks are determined by supplier warehouses, while the contents of outbound trucks are determined by on-site warehouse decisions. In this paper, we analyze the material-handling distance traveled in a warehouse using four rules for assigning packages to outbound trucks and a genetic algorithm to assign outbound trucks to docks in a last-mile delivery warehouse. The results obtained indicate that MHS efficiency is significantly affected by the package-to-truck and truck-to-dock assignment decisions. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings for the Northeast Region Decision Sciences Institute (NEDSI) is the property of Northeast Decision Sciences Institute and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The lifeblood of a cross-docking warehouse is the material handling system (MHS). In a crossdocking warehouse, items arrive at the facility and, with minimal dwell time, are transferred to and loaded onto outbound trucks for shipment to their next destinations. The item transfers are executed by the MHS. The total material-handling distance traveled per day's operation depends on the flow intensities and patterns between the inbound and outbound docks. The flow patterns and intensities between pairs of docks depend on the load contents of the trucks docking at the docks. The contents of inbound trucks are determined by supplier warehouses, while the contents of outbound trucks are determined by on-site warehouse decisions. In this paper, we analyze the material-handling distance traveled in a warehouse using four rules for assigning packages to outbound trucks and a genetic algorithm to assign outbound trucks to docks in a last-mile delivery warehouse. The results obtained indicate that MHS efficiency is significantly affected by the package-to-truck and truck-to-dock assignment decisions. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Proceedings for the Northeast Region Decision Sciences Institute (NEDSI) is the property of Northeast Decision Sciences Institute and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 641
    Subjects:
      – SubjectFull: Materials handling
        Type: general
      – SubjectFull: Warehouse management
        Type: general
      – SubjectFull: Cross-docking (Logistics)
        Type: general
      – SubjectFull: Delivery of goods
        Type: general
      – SubjectFull: Process optimization
        Type: general
      – SubjectFull: Assignment problems (Programming)
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
    Titles:
      – TitleFull: EFFECT OF PACKAGE-TO-TRUCK ASSIGNMENT ON MATERIAL HANDLING WORKFLOW AT CROSS-DOCKING HUB IN A LAST MILE DELIVERY SYSTEM.
        Type: main
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            NameFull: Egbelu, Pius
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            NameFull: Sylla, Cheickna
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            NameFull: Malyack, Colette
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          Dates:
            – D: 01
              M: 01
              Text: 2026
              Type: published
              Y: 2026
          Titles:
            – TitleFull: Proceedings for the Northeast Region Decision Sciences Institute (NEDSI)
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