Measuring the bullwhip effect for supply chains with seasonal demand components
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DOI: 10.1016/j.ejor.2014.10.022
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Cited by:
- Wang, Xun & Disney, Stephen M., 2017. "Mitigating variance amplification under stochastic lead-time: The proportional control approach," European Journal of Operational Research, Elsevier, vol. 256(1), pages 151-162.
- Nagaraja, Chaitra H. & McElroy, Tucker, 2018. "The multivariate bullwhip effect," European Journal of Operational Research, Elsevier, vol. 267(1), pages 96-106.
- 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.
- Kvamsdal, Sturla F. & Maroto, José M. & Morán, Manuel & Sandal, Leif K., 2020. "Bioeconomic modeling of seasonal fisheries," European Journal of Operational Research, Elsevier, vol. 281(2), pages 332-340.
- Sinha, Priyank & Kumar, Sameer & Prakash, Surya, 2020. "Measuring and mitigating the effects of cost disturbance propagation in multi-echelon apparel supply chains," European Journal of Operational Research, Elsevier, vol. 282(1), pages 148-160.
- Sabitha, Devarajulu & Rajendran, Chandrasekharan & Kalpakam, S. & Ziegler, Hans, 2016. "The value of information sharing in a serial supply chain with AR(1) demand and non-zero replenishment lead times," European Journal of Operational Research, Elsevier, vol. 255(3), pages 758-777.
- Junhai Ma & Jing Zhang & Liqing Zhu, 2018. "Study of the Bullwhip Effect under Various Forecasting Methods in Electronics Supply Chain with Dual Retailers considering Market Share," Complexity, Hindawi, vol. 2018, pages 1-19, January.
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Keywords
Supply chains; Bullwhip; Time series; Seasonal demand;All these keywords.
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