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Impact of Sophisticated Stationary Forecast Techniques on the Bullwhip Effect in a Supply Chain 被引量:2

Impact of Sophisticated Stationary Forecast Techniques on the Bullwhip Effect in a Supply Chain
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摘要 The bullwhip effect in a multistage supply chain was analyzed using sophisticated stationary forecasts (third order moving average and third order exponential smoothing forecasts). The third order exponential smoothing and third order moving average forecasts sometimes have a variance reducing effect on the supply chain.In a supply chain with positively correlated or independent and identically distributed (i.i.d) demands, the order variance based on simple moving average forecast (or simple exponential smoothing forecast) is larger than the order variance based on second order moving average forecast (or second order exponential smoothing forecast),and the order variance based on second order moving average forecast( or second order exponential smoothing forecast) is larger than the order variance based on third order moving average forecast( or third order exponential smoothing forecast). In addition, for i.i.d demands, third order exponential smoothing forecast leads to a larger variation than third order moving average forecast. The bullwhip effect in a multistage supply chain was analyzed using sophisticated stationary forecasts (third order moving average and third order exponential smoothing forecasts). The third order exponential smoothing and third order moving average forecasts sometimes have a variance reducing effect on the supply chain. In a supply chain with positively correlated or independent and identically distributed (i. i. d) demands, the order variance based on simple moving average forecast (or simple exponential smoothing forecast) is larger than the or- der variance based on second order moving average forecast (or second order exponential smoothing forecast),and the order variance based on second order moving average forecast ( or second order exponential smoothing forecast) is larger than the order variance based on third order moving average forecast( or third order exponential smoothing forecast). In addition, for i. i. d demands, third order exponential smoothing forecast leads to a larger variation than third order moving average forecast.
作者 汪传旭
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2007年第5期665-672,共8页 上海交通大学学报(英文版)
基金 The National Natural Science Foundation ofChina(No70573068) The Shanghai Education Com-mittee Foundation(No05FZ11) The Shanghai Lead-ing Academic Discipline(NoT0602)
关键词 supply chain management bullwhip effect forecasting third order moving average third order exponential smoothing 供应链管理 生产管理 企业管理 预测系统
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同被引文献22

  • 1Lee H L, Padmanabhan V, Whang S. The bullwhip effect in supply chains [J]. Sloan Management Review, 1997, 38 (3): 93-102.
  • 2Lee H L, Padmanabhan V, Whang S. Information distortion in a supply chain: The Bullwhip Effect [J]. Management Science, 1997, 43 (3): 546-558.
  • 3Lee H L, So K C, Tang C S. The value of information sharing in a two level supply chain[J]. Management Science, 2000, 46(5): 626-643.
  • 4Chen F, Drezner Z, Ryan J, et al. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information [J]. Management Science, 2000, 46(3): 436-443.
  • 5Chen F, Ryan J, Simchi-Levi D. The impact of exponential smoothing fore- casts on the bullwhip effect [J].Naval Research Logistics, 2000, 47 (4): 269-286.
  • 6Wright D, Yuan X. Mitigating the bullwhip effect by ordering policies and forecasting methods [J]. International Journal of Production Economics, 2008, 113(2): 587-597.
  • 7Disney S M, Farasyn I, Lambrecht M, et al. Taming the bullwhip effect whilst watching customer service in a single supply chain echelon[J]. Europearl Journal of Operational Research, 2006, 173(1): 151-172.
  • 8Duc T T H, Luong H T, Kim Y-D. A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process [J]. European Journal of Operational Research, 2008, 187(1): 243-256.
  • 9Hosoda T, Disney S M. On variance amplification in a three-echelon supply chain with minimum mean square error forecasting[J]. Omega, 2006, 34(4): 344-358.
  • 10Jaksic M, Rusjan B: The effect of replenishment policies on the bullwhip effect: A transfer function approach [J]. European Journal of Operational Research, 2008, 184(3): 946-961.

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