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An Association Rule-Based Approach for Storing Items in an AS/RS

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Sustainable Design and Manufacturing 2020

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 200))

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Abstract

Warehouse management activities are critical from an organizational point of view since they can cause a sensitive loss of efficiency. When dealing with automated storage and retrieval systems, the allocation of items to a specific storage cell is a challenging issue since it is the unique modifiable variable due to the constructive characteristics of the warehouse. The vast amount of data available in this field allows the development of policies for an efficient allocation of the items through the development of data mining-based approaches. In this perspective, the current work proposes a roadmap for the allocation of items to the storage cells of an automated storage and retrieval system through the association rule mining. The procedure is, at first, generally described, and, then, applied to the case study of a shoe manufacturer.

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Authors and Affiliations

  1. Università Politecnica delle Marche, Ancona, Italy

    Sara Antomarioni, Maurizio Bevilacqua & Filippo Emanuele Ciarapica

Authors
  1. Sara Antomarioni
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  2. Maurizio Bevilacqua
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  3. Filippo Emanuele Ciarapica
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Corresponding author

Correspondence to Sara Antomarioni .

Editor information

Editors and Affiliations

  1. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Steffen G. Scholz

  2. Bournemouth University, Poole, UK

    Robert J. Howlett

  3. Cardiff University, Cardiff, UK

    Rossi Setchi

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Antomarioni, S., Bevilacqua, M., Ciarapica, F.E. (2021). An Association Rule-Based Approach for Storing Items in an AS/RS. In: Scholz, S.G., Howlett, R.J., Setchi, R. (eds) Sustainable Design and Manufacturing 2020. Smart Innovation, Systems and Technologies, vol 200. Springer, Singapore. https://doi.org/10.1007/978-981-15-8131-1_6

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  • DOI: https://doi.org/10.1007/978-981-15-8131-1_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8130-4

  • Online ISBN: 978-981-15-8131-1

  • eBook Packages: EngineeringEngineering (R0)

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