The role of distributed intelligence in warehouse management systems

Wenrong Lu, Vaggelis Giannikas, Duncan McFarlane, James Hyde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Third-party-logistics warehouses have been gaining popularity in recent years mainly due to their ability to buffer the material flow along a supply chain and consolidate the products from various suppliers, which has a major impact on supply chain efficiency. The issues and challenges in warehouse management are similar in many ways to those faced in manufacturing control, resilience and adaptability being two such issues. Since distributed intelligence (DI) approaches have been extensively studied to address such issues in manufacturing control, this paper examines the possible adoption of DI approaches in warehouse management systems (WMS). Further, the paper discusses the challenges in warehouse management and compares these challenges with the characteristics of manufacturing problems that DI approach is suited to.

Original languageEnglish
Title of host publicationService Orientation in Holonic and Multi-Agent Manufacturing and Robotics
PublisherSpringer Verlag
Pages63-77
Number of pages15
ISBN (Electronic)978-3-319-04735-5
ISBN (Print)9783319047348
DOIs
Publication statusPublished - 1 Jan 2014

Publication series

NameStudies in Computational Intelligence
Volume544
ISSN (Print)1860-949X

Keywords

  • Distributed intelligence
  • Orderpicking scheduling
  • Warehouse management systems

ASJC Scopus subject areas

  • Artificial Intelligence

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