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An empirical investigation on causes and effects of the Bullwhip-effect: Evidence from the personal care sector

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  • Zotteri, Giulio

Abstract

This paper analyses the empirical demand data for fast moving consumer goods to measure the Bullwhip-effect. The data consist of the sell-in from a large manufacturer to the retailers and the sell-out from a retailer to the consumers. Our findings show that the Bullwhip-effect can be substantial. Indeed, in more than 50% of the cases, the demand upstream (sell-in) is twice as variable as the demand downstream (sell-out). However, in other cases it can be negligible (and in one case, the demand upstream is slightly less variable than the demand downstream). So, while the Bullwhip-effect can be very large, it need not be so. Finally, we attempted to delve into the dynamics that generate a significant Bullwhip-effect and discovered that among the various causes that create the Bullwhip-effect discussed by Lee et al. (1997a), price fluctuations and forward buys driven by sales targets play a decisive role. We show that the flatter the final consumer demand (sell-out), the more room there is for the retailers to forward buy in order to take advantage of the deals offered by the manufacturer's sales force toward the end of the sales period. On the contrary, the more variable the final consumer demand, the less willing the retailer is to make a risky inventory investment and, thus, the more the retailer's orders closely follow consumer demand. This result at the product family level is very consistent with the results that Cachon et al. (2007) obtained at the company/industry level.

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  • Zotteri, Giulio, 2013. "An empirical investigation on causes and effects of the Bullwhip-effect: Evidence from the personal care sector," International Journal of Production Economics, Elsevier, vol. 143(2), pages 489-498.
  • Handle: RePEc:eee:proeco:v:143:y:2013:i:2:p:489-498
    DOI: 10.1016/j.ijpe.2012.06.006
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    2. Enrique Holgado de Frutos & Juan R Trapero & Francisco Ramos, 2020. "A literature review on operational decisions applied to collaborative supply chains," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-28, March.
    3. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
    4. Chiang, Chung-Yean & Lin, Winston T. & Suresh, Nallan C., 2016. "An empirically-simulated investigation of the impact of demand forecasting on the bullwhip effect: Evidence from U.S. auto industry," International Journal of Production Economics, Elsevier, vol. 177(C), pages 53-65.
    5. Ahmed Shaban & Mohamed A. Shalaby & Giulio Di Gravio & Riccardo Patriarca, 2020. "Analysis of Variance Amplification and Service Level in a Supply Chain with Correlated Demand," Sustainability, MDPI, vol. 12(16), pages 1-27, August.
    6. Lin, Junyi & Huang, Hongfu & Li, Shanshan & Naim, Mohamed M., 2023. "On the dynamics of order pipeline inventory in a nonlinear order-up-to system," International Journal of Production Economics, Elsevier, vol. 266(C).
    7. Dai, Hongyan & Li, Jianbin & Yan, Nina & Zhou, Weihua, 2016. "Bullwhip effect and supply chain costs with low- and high-quality information on inventory shrinkage," European Journal of Operational Research, Elsevier, vol. 250(2), pages 457-469.
    8. 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.
    9. Jin, Ming & DeHoratius, Nicole & Schmidt, Glen, 2017. "In search of intra-industry bullwhips," International Journal of Production Economics, Elsevier, vol. 191(C), pages 51-65.
    10. Erkan Bayraktar & Kazim Sari & Ekrem Tatoglu & Selim Zaim & Dursun Delen, 2020. "Assessing the supply chain performance: a causal analysis," Annals of Operations Research, Springer, vol. 287(1), pages 37-60, April.
    11. Lampret Tadeja & Potočan Vojko, 2014. "Bullwhip Effect in the Information Flow of a Supply Chain: A Role of Culture," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 5(1), pages 34-45, November.
    12. 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.
    13. Rahal, Imen & Elloumi, Abdelkarim, 2022. "The analysis of the Bullwhip effect on the supply chain management of perishable products," MPRA Paper 117992, University Library of Munich, Germany.
    14. Junhai Ma & Xiaogang Ma, 2017. "Measure of the bullwhip effect considering the market competition between two retailers," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 313-326, January.

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