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Metrics for bullwhip effect analysis

Author

Listed:
  • S Cannella

    (Technical University of Lisbon, Porto Salvo, Portugal)

  • A P Barbosa-Póvoa

    (Technical University of Lisbon, Porto Salvo, Portugal)

  • J M Framinan

    (University of Seville, Seville, Spain)

  • S Relvas

    (Technical University of Lisbon, Porto Salvo, Portugal)

Abstract

A bullwhip measurement system based on a two-criterion assessment—‘internal process efficiency’ and ‘customer service level’—is developed in this paper. The framework is designed to assess both individual (single member) and systemic (whole supply chain) performances. Data collection and calculation methods, update and monitoring mechanisms, as well as related procedures for each metric used, are detailed. A comparative analysis with a recent work by Barlas and Gunduz is performed, showing that the adoption of the proposed performance measurement system can help academics and practitioners to better understand, study and avoid the bullwhip effect. Such analysis also provides evidence on the relevance of considering when analysing the bullwhip effect in supply chains, the ‘customer importance’ aspect that is often forgotten in the published literature.

Suggested Citation

  • S Cannella & A P Barbosa-Póvoa & J M Framinan & S Relvas, 2013. "Metrics for bullwhip effect analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(1), pages 1-16, January.
  • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:1:p:1-16
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    Citations

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    Cited by:

    1. Linh N. K. Duong & Lincoln C. Wood & William Y. C. Wang, 2018. "Effects of Consumer Demand, Product Lifetime, and Substitution Ratio on Perishable Inventory Management," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-17, May.
    2. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2015. "On returns and network configuration in supply chain dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 152-167.
    3. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
    4. Griffin, Gillian & Gaustad, Gabrielle & Badami, Kedar, 2019. "A framework for firm-level critical material supply management and mitigation," Resources Policy, Elsevier, vol. 60(C), pages 262-276.
    5. Trapero, Juan R. & Pedregal, Diego J., 2016. "A novel time-varying bullwhip effect metric: An application to promotional sales," International Journal of Production Economics, Elsevier, vol. 182(C), pages 465-471.
    6. Ponte, Borja & Naim, Mohamed M. & Syntetos, Aris A., 2019. "The value of regulating returns for enhancing the dynamic behaviour of hybrid manufacturing-remanufacturing systems," European Journal of Operational Research, Elsevier, vol. 278(2), pages 629-645.
    7. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "OVAP: A strategy to implement partial information sharing among supply chain retailers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 122-136.
    8. Dominguez, Roberto & Cannella, Salvatore & Barbosa-Póvoa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    9. Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2016. "Closed-loop supply chains: What reverse logistics factors influence performance?," International Journal of Production Economics, Elsevier, vol. 175(C), pages 35-49.
    10. Cannella, Salvatore & Dominguez, Roberto & Framinan, Jose M., 2017. "Inventory record inaccuracy – The impact of structural complexity and lead time variability," Omega, Elsevier, vol. 68(C), pages 123-138.

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