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Optimising space utilisation in block stacking warehouses

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  • Shahab Derhami
  • Jeffrey S. Smith
  • Kevin R. Gue

Abstract

Block stacking storage is an inexpensive storage system widely used in manufacturing systems where pallets of stock keeping units (SKUs) are stored in a warehouse at the finite production rates. However, determining the optimal lane depth that maximises space utilisation under a finite production rate constraint has not been adequately addressed in the literature and is an open problem. In this research, we propose mathematical models to obtain the optimal lane depth for single and multiple SKUs where the pallet production rates are finite. A simulation model is used to evaluate performance of the proposed models under stochastic uncertainty in the major production parameters and the demand.

Suggested Citation

  • Shahab Derhami & Jeffrey S. Smith & Kevin R. Gue, 2017. "Optimising space utilisation in block stacking warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6436-6452, November.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:21:p:6436-6452
    DOI: 10.1080/00207543.2016.1154216
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    References listed on IDEAS

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    Cited by:

    1. Rakesh Venkitasubramony & Gajendra K. Adil, 2021. "Modeling the effect of imperfect staggering in product inflow using queuing theory: revisiting block stacking layout," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 689-716, September.
    2. Derhami, Shahab & Smith, Jeffrey S. & Gue, Kevin R., 2020. "A simulation-based optimization approach to design optimal layouts for block stacking warehouses," International Journal of Production Economics, Elsevier, vol. 223(C).
    3. Mahroof, Kamran, 2019. "A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse," International Journal of Information Management, Elsevier, vol. 45(C), pages 176-190.

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