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Shelf and Inventory Management with Space-Elastic Demand

In: Operations Research Proceedings 2010

Author

Listed:
  • Alexander H. Hübner

    (Catholic University Eichstätt-Ingolstadt)

  • Heinrich Kuhn

    (Catholic University Eichstätt-Ingolstadt)

Abstract

Managing limited shelf space is a core decision in retail as increasing product variety is in conflict with limited shelf space and operational replenishment costs. In addition to their classical supply function, shelf inventories have a demand generating function, as more facings lead to growing consumer demand. An efficient decision support model therefore needs to reflect space-elastic demand and logistical components of shelf replenishment. However shelf space management models have up to now assumed that replenishment systems are efficient and that replenishment costs are not decision relevant. But shelf space and inventory management are interdependent, e.g., low space allocation requires frequent restocking. We analyzed a multi-product shelf space and inventory management problem that integrates facing-dependent inventory holding and replenishment costs. Our numerical examples illustrate the benefits of an integrated decision model.

Suggested Citation

  • Alexander H. Hübner & Heinrich Kuhn, 2011. "Shelf and Inventory Management with Space-Elastic Demand," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 405-410, Springer.
  • Handle: RePEc:spr:oprchp:978-3-642-20009-0_64
    DOI: 10.1007/978-3-642-20009-0_64
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    Citations

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    Cited by:

    1. Alexander Hübner & Kai Schaal, 2017. "Effect of replenishment and backroom on retail shelf-space planning," Business Research, Springer;German Academic Association for Business Research, vol. 10(1), pages 123-156, June.
    2. Bianchi-Aguiar, Teresa & Hübner, Alexander & Carravilla, Maria Antónia & Oliveira, José Fernando, 2021. "Retail shelf space planning problems: A comprehensive review and classification framework," European Journal of Operational Research, Elsevier, vol. 289(1), pages 1-16.

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