The single container loading problem with axle weight constraints

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Author(s)

  • Andrew Lim
  • Hong Ma
  • Chaoyang Qiu
  • Wenbin Zhu

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)358-369
Journal / PublicationInternational Journal of Production Economics
Volume144
Issue number1
Publication statusPublished - Jul 2013

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-84877924679&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(991af885-978d-4f27-ab18-4fbbd396dfac).html

Abstract

This paper considers a single container loading problem with practical constraints that address the U.S. legal requirements stipulated in the California Vehicle Code (CVC) related to truck axle weight. The problem is computationally intractable for practical problem cases. We propose an integrated heuristic solution approach that combines a GRASP wall-building algorithm with linear integer programming models. Experiments are conducted using data generated from real cases showing the effectiveness of our approach. This work has been developed into a software component to facilitate decision makers in the industry. © 2013 Elsevier B.V. All rights reserved.

Research Area(s)

  • Axle weight limitation, Single container loading problems, Truck transportation

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Publication fingerprints text

100
Decision Maker Computer Science
100
Integer Programming Computer Science
100
Programming Model Computer Science
100
Software Component Computer Science
100
Heuristic Solution Computer Science
100
Legal Requirement Computer Science
100
Practical Problem Engineering
100
Walls (Structural P... Engineering
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Citation Format(s)

[ RIS ] [ BibTeX ]
The single container loading problem with axle weight constraints. / Lim, Andrew; Ma, Hong; Qiu, Chaoyang et al.
In: International Journal of Production Economics, Vol. 144, No. 1, 07.2013, p. 358-369.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review