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Analytical approximations to predict order picking times at a warehouse

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  • Maria Hulett
  • Purushothaman Damodaran

Abstract

The primary objective of this research was to develop analytical approximations to predict the time taken to complete a customer order in a warehouse. The problem under study was modelled as a network of queues and the parametric decomposition approach was adopted to develop the approximations. Under this method, the queuing network is decomposed into individual queues allowing to analyse single (i.e., customer order processing, pallet building, and re-pick process) and fork-join stations (i.e., order picking with synchronisation constraints) within the same framework. Analytical formulations to estimate order picking times were developed and compared with equivalent simulation models to estimate the accuracy of the formulations. Appropriate correction terms were also developed to bridge the gap between the analytical approximations and the simulation models. The experimental study conducted indicates that the analytical approximations along with the correction terms can serve as a good estimate for the order picking times in a warehouse.

Suggested Citation

  • Maria Hulett & Purushothaman Damodaran, 2019. "Analytical approximations to predict order picking times at a warehouse," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 33(2), pages 141-161.
    • Handle: RePEc:ids:ijisen:v:33:y:2019:i:2:p:141-161
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