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Warehouse performance measurement: classification and mathematical expressions of indicators

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  • Francielly Hedler Staudt

    (UFSC - Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis], G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Maria Di Mascolo

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Gülgün Alpan

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - UJF - Université Joseph Fourier - Grenoble 1 - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INPG - Institut National Polytechnique de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Carlos M. Taboada Rodriguez

    (UFSC - Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis])

Abstract

Literature about warehouse performance focuses mainly on the analysis of indicator results, and less attention is given to metric definitions and measurement. This situation generates confusions in the indicator definitions, and different measurements for the same performance indicators could be made by distinct authors. In order to improve this measurement, this paper makes a synthesis of the measures found in literature to evaluate warehouse performance, defining their boundaries and equations. The indicators are classified and grouped according to the dimensions of time, quality, cost and productivity. In order to maintain consistency among metrics from different warehouse areas, a standard warehouse is defined with its layout, activities and indicators measurement units. Then, the indicator definitions found in the literature are analyzed, considering the measurement units defined in the standard warehouse, in order to state indicators with mathematical expressions. The result is a well-defined set of metrics available to companies for a more accurate warehouse management.

Suggested Citation

  • Francielly Hedler Staudt & Maria Di Mascolo & Gülgün Alpan & Carlos M. Taboada Rodriguez, 2014. "Warehouse performance measurement: classification and mathematical expressions of indicators," Post-Print hal-01242034, HAL.
    • Handle: RePEc:hal:journl:hal-01242034
    Note: View the original document on HAL open archive server: https://hal.science/hal-01242034
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    References listed on IDEAS

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    2. Gu, Jinxiang & Goetschalckx, Marc & McGinnis, Leon F., 2007. "Research on warehouse operation: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 177(1), pages 1-21, February.
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    Keywords

    warehouse; performance measurement; indicator; metrics;
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