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Order picking and loading-dock arrival punctuality performance indicators for supply chain management: A case study

Author

Listed:
  • Marzialia Micaela

    (Engineering Department, Universidad Nacional del Sur (UNS), Argentina)

  • Rossit Daniel Alejandro

    (Engineering Department, Universidad Nacional del Sur (UNS), Argentina, INMABB, CONICET-UNS, Argentina)

  • Toncovicha Adrián

    (Engineering Department, Universidad Nacional del Sur (UNS), Argentina)

Abstract

Supply chain activity control is an essential part of Supply Chain Management (SCM), ensuring compliance with customer requirements. This paper presents a case study into the control of SCM activities. The study analysed two areas involving two different SC links associated with order picking, and outsourced truck freights, respectively. The studied company had problems with these links. An approach based on developing a KPI (Key Performance Indicator) was proposed to address the issues. Consequently, different affected processes were analysed and characterised, considering the relevant data for defining a KPI. Then, strategies and methods were devised for data collection and processing regarding the system’s current state. Finally, tools were designed to facilitate the interpretation of the system’s current state and thus, pave the way for the decision-making process on corrective measures.

Suggested Citation

  • Marzialia Micaela & Rossit Daniel Alejandro & Toncovicha Adrián, 2022. "Order picking and loading-dock arrival punctuality performance indicators for supply chain management: A case study," Engineering Management in Production and Services, Sciendo, vol. 14(1), pages 26-37, March.
    • Handle: RePEc:vrs:ecoman:v:14:y:2022:i:1:p:26-37:n:4
    DOI: 10.2478/emj-2022-0003
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    References listed on IDEAS

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    1. Lohman, Clemens & Fortuin, Leonard & Wouters, Marc, 2004. "Designing a performance measurement system: A case study," European Journal of Operational Research, Elsevier, vol. 156(2), pages 267-286, July.
    2. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, April.
    3. Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
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