Integrating Route Optimisation with Vehicle and Unloading Dock Scheduling in LCL Cargo Collection

Less container load (LCL) has become an increasingly important element in containerised cargo export, due to the involvement of numerous small and medium size enterprises. Traditional cargo collection and consolidation processes are extremely complex and inefficient, which provides an excellent opportunity for improvement through integration. In this paper, the authors design a two-stage model comprising vehicle route optimisation for cargo collection and vehicle and unloading dock scheduling. In the first stage, namely, the route optimisation model, the Clarke-Wright saving algorithm is used, with the objective of minimising the total transport cost for a given shipment size, weight, and capacity constraint of cargo collection vehicles. In the second stage, the scheduling of both collection vehicles and unloading dock are modelled, using two sub-models for given constraints on the time window of the unloading docks and cargo collection routes. An application of this integrated model is illustrated based on the cargo collection problems in the hinterland of Shanghai port.

• Record URL:
  https://doi.org/10.1504/IJSTL.2019.099273
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17566517
• Supplemental Notes:
  • Copyright © 2018 Inderscience Enterprises Ltd.
• Authors:
  • Liu, Xuefei
  • Luo, Meifeng
  • Zhao, Yifei
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 262-280
• Serial:
  • International Journal of Shipping and Transport Logistics
  • Volume: 11
  • Issue Number: 2-3
  • Publisher: Inderscience Enterprises Limited
  • ISSN: 1756-6517
  • EISSN: 1756-6525
  • Serial URL: http://www.inderscience.com/jhome.php?jcode=ijstl

Subject/Index Terms

• TRT Terms: Cargo handling; Loading and unloading; Routes and routing; Scheduling
• Identifier Terms: Port of Shanghai
• Subject Areas: Freight Transportation; Marine Transportation; Operations and Traffic Management;

Filing Info

• Accession Number: 01709079
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 27 2019 2:41PM