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Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Author

Listed:
  • Koussaila Hamiche

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Michel Fliess

    (LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau] - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique, AL.I.E.N. - ALgèbre pour Identification & Estimation Numériques)

  • Cédric Join

    (CRAN - Centre de Recherche en Automatique de Nancy - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique, AL.I.E.N. - ALgèbre pour Identification & Estimation Numériques)

  • Hassane Abouaïssa

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

Abstract

Supply chain management and inventory control provide most exciting examples of control systems with delays. Here, Smith predictors, model-free control and new time series forecasting techniques are mixed in order to derive an efficient control synthesis. Perishable inventories are also taken into account. The most intriguing ``bullwhip effect'' is explained and attenuated, at least in some important situations. Numerous convincing computer simulations are presented and discussed.

Suggested Citation

  • Koussaila Hamiche & Michel Fliess & Cédric Join & Hassane Abouaïssa, 2019. "Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories," Post-Print hal-02050480, HAL.
    • Handle: RePEc:hal:journl:hal-02050480
    DOI: 10.1109/CoDIT.2019.8820297
    Note: View the original document on HAL open archive server: https://polytechnique.hal.science/hal-02050480
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    References listed on IDEAS

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    1. 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.
    2. Yossi Aviv, 2003. "A Time-Series Framework for Supply-Chain Inventory Management," Operations Research, INFORMS, vol. 51(2), pages 210-227, April.
    3. Hassane Abouaïssa & Michel Fliess & Cédric Join, 2016. "On short-term traffic flow forecasting and its reliability," Post-Print hal-01275311, HAL.
    4. Michel Fliess & C'edric Join, 2009. "A mathematical proof of the existence of trends in financial time series," Papers 0901.1945, arXiv.org.
    5. Michel Fliess & Cédric Join, 2009. "A mathematical proof of the existence of trends in financial time series," Post-Print inria-00352834, HAL.
    6. Rosa Abbou & Jean Jacques Loiseau & Charifa Moussaoui, 2017. "Robust inventory control of production systems subject to uncertainties on demand and lead times," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2177-2196, April.
    7. Schwartz, Jay D. & Rivera, Daniel E., 2010. "A process control approach to tactical inventory management in production-inventory systems," International Journal of Production Economics, Elsevier, vol. 125(1), pages 111-124, May.
    8. Nick T. Thomopoulos, 2015. "Demand Forecasting for Inventory Control," Springer Books, in: Demand Forecasting for Inventory Control, edition 127, chapter 1, pages 1-10, Springer.
    9. Maximiliano Udenio & Eleni Vatamidou & Jan C. Fransoo & Nico Dellaert, 2017. "Behavioral causes of the bullwhip effect: An analysis using linear control theory," IISE Transactions, Taylor & Francis Journals, vol. 49(10), pages 980-1000, October.
    10. Steven Nahmias, 2011. "Perishable Inventory Systems," International Series in Operations Research and Management Science, Springer, edition 1, number 978-1-4419-7999-5, April.
    11. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2003. "Measuring and avoiding the bullwhip effect: A control theoretic approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 567-590, June.
    12. Warburton, Roger D. H., 2004. "An exact analytical solution to the production inventory control problem," International Journal of Production Economics, Elsevier, vol. 92(1), pages 81-96, November.
    13. Sucky, Eric, 2009. "The bullwhip effect in supply chains--An overestimated problem?," International Journal of Production Economics, Elsevier, vol. 118(1), pages 311-322, March.
    14. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
    15. Michel Fliess & Cédric Join & Cyril Voyant, 2018. "Prediction bands for solar energy: New short-term time series forecasting techniques," Post-Print hal-01736518, HAL.
    16. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    17. Nick T. Thomopoulos, 2015. "Demand Forecasting for Inventory Control," Springer Books, Springer, edition 127, number 978-3-319-11976-2, January.
    18. Herbert J. Vassian, 1955. "Application of Discrete Variable Servo Theory to Inventory Control," Operations Research, INFORMS, vol. 3(3), pages 272-282, August.
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