Product intelligence in warehouse management: A case study

Vaggelis Giannikas, Wenrong Lu, Duncan McFarlane, James Hyde

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

16 Citations (Scopus)

Abstract

The need for more flexible, adaptable and customer-oriented warehouse operations has been increasingly identified as an important issue by today's warehouse companies due to the rapidly changing preferences of the customers that use their services. Motivated by manufacturing and other logistics operations, in this paper we argue on the potential application of product intelligence in warehouse operations as an approach that can help warehouse companies address these issues. We discuss the opportunities of such an approach using a real example of a third-party-logistics warehouse company and we present the benefits it can bring in their warehouse management systems.

Original languageEnglish
Title of host publicationIndustrial Applications of Holonic and Multi-Agent Systems - 6th International Conference, HoloMAS 2013, Proceedings
Pages224-235
Number of pages12
ISBN (Electronic)978-3-642-40090-2
DOIs
Publication statusPublished - 8 Oct 2013
Event6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013 - Prague, Czech Republic
Duration: 26 Aug 201328 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8062 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2013
Country/TerritoryCzech Republic
CityPrague
Period26/08/1328/08/13

Keywords

  • adaptive storing
  • dynamic picking
  • product intelligence
  • warehouse management systems

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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