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A policy development model for reducing bullwhips in hybrid production-distribution systems

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  • Sy, Charlle

Abstract

The study considered a hybrid production-distribution system (PDS) in which products move both downstream and upstream. The System Dynamics (SD) modeling methodology was used to examine the effects of integrating product returns and recovery options to the traditional downstream flow in the PDS. The recovery options of remanufacture, cannibalization and refurbish were found to have the most significant effects to the resulting degree of bullwhips and inventory variances. The SD model was then used to identify effective policies that could manage inventory, production and distribution flows in the PDS. Among these policies included the coupling of complementary recovery options and centralization of demand information. It was observed that these policies could actually smoothen the flow of production, which eventually leads to significant decreases in the inventory variances and amplifications in all echelons of the hybrid PDS.

Suggested Citation

  • Sy, Charlle, 2017. "A policy development model for reducing bullwhips in hybrid production-distribution systems," International Journal of Production Economics, Elsevier, vol. 190(C), pages 67-79.
  • Handle: RePEc:eee:proeco:v:190:y:2017:i:c:p:67-79
    DOI: 10.1016/j.ijpe.2016.09.005
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    References listed on IDEAS

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    1. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc & Ridder, Ad, 1996. "An (s, Q) inventory model with remanufacturing and disposal," International Journal of Production Economics, Elsevier, vol. 46(1), pages 339-350, December.
    2. Huang, Min & Song, Min & Lee, Loo Hay & Ching, Wai Ki, 2013. "Analysis for strategy of closed-loop supply chain with dual recycling channel," International Journal of Production Economics, Elsevier, vol. 144(2), pages 510-520.
    3. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    4. Adenso-Díaz, Belarmino & Moreno, Plácido & Gutiérrez, Ester & Lozano, Sebastián, 2012. "An analysis of the main factors affecting bullwhip in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 135(2), pages 917-928.
    5. Georgiadis, Patroklos & Vlachos, Dimitrios, 2004. "The effect of environmental parameters on product recovery," European Journal of Operational Research, Elsevier, vol. 157(2), pages 449-464, September.
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    Cited by:

    1. Dominguez, Roberto & Cannella, Salvatore & Ponte, Borja & Framinan, Jose M., 2020. "On the dynamics of closed-loop supply chains under remanufacturing lead time variability," Omega, Elsevier, vol. 97(C).

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