Product Intelligence in Warehouse Management: A Case Study

  • Vaggelis Giannikas
  • Wenrong Lu
  • Duncan McFarlane
  • James Hyde
Conference paper

DOI: 10.1007/978-3-642-40090-2_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8062)
Cite this paper as:
Giannikas V., Lu W., McFarlane D., Hyde J. (2013) Product Intelligence in Warehouse Management: A Case Study. In: Mařík V., Lastra J.L.M., Skobelev P. (eds) Industrial Applications of Holonic and Multi-Agent Systems. HoloMAS 2013. Lecture Notes in Computer Science, vol 8062. Springer, Berlin, Heidelberg

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.

Keywords

product intelligence warehouse management systems adaptive storing dynamic picking 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Vaggelis Giannikas
    • 1
  • Wenrong Lu
    • 1
  • Duncan McFarlane
    • 1
  • James Hyde
    • 2
  1. 1.Institute for ManufacturingUniversity of CambridgeCambridgeUK
  2. 2.James & James Fulfilment Ltd.CambridgeUK

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