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.
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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. Lecture Notes in Computer Science(), vol 8062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40090-2_20
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DOI: https://doi.org/10.1007/978-3-642-40090-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40089-6
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