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**The impact of exponential smoothing forecasts on the bullwhip effect.**
*(English)*
Zbl 0968.90006

Summary: An important phenomenon often observed in supply chain management, known as the bullwhip effect, implies that demand variability increases as one moves up the supply chain, i.e., as one moves away from customer demand. In this paper we quantify this effect for simple, two-stage, supply chains consisting of a single retailer and a single manufacturer. We demonstrate that the use of an exponential smoothing forecast by the retailer can cause the bullwhip effect and contrast these results with the increase in variability due to the use of a moving average forecast. We consider two types of demand processes, a correlated demand process and a demand process with a linear trend. We then discuss several important managerial insights that can be drawn from this research.

### Keywords:

information distortion; forecasting; exponential smoothing; moving average; correlated demand; linear trend demand process; supply chain management; bullwhip effect
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\textit{F. Chen} et al., Nav. Res. Logist. 47, No. 4, 269--286 (2000; Zbl 0968.90006)

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### References:

[1] | Baganha, Oper Res 46 pp s72– (1998) |

[2] | Smoothing, forecasting and prediction, Prentice Hall, Englewood Cliffs, NJ, 1962. |

[3] | Caplin, Econometrica 53 pp 1396– (1985) |

[4] | and The impact of a double moving average forecast on the bullwhip effect, Working Paper, School of Industrial Engineering, Purdue University, 1997. |

[5] | Chen, Manage Sci |

[6] | and Quantifying the impact of an exponential smoothing forecast on the bullwhip effect, Working Paper, School of Industrial Engineering, Purdue University, 1998. |

[7] | Industrial dynamics, MIT Press, Cambridge, MA, and Wiley, New York, 1961. |

[8] | and Production and inventory management, Prentice-Hall, Englewood Cliffs, NJ, 1984. |

[9] | Johnson, Nav Res Logistics 42 pp 39– (1995) |

[10] | Kahn, Am Econ Rev 77 pp 667– (1987) |

[11] | Lee, Sloan Manage Rev 38 pp 93– (1997) |

[12] | Lee, Manage Sci 43 pp 546– (1997) |

[13] | and Forecasting methods and applications, Wiley, New York, 1998. |

[14] | Mentzer, J Forecast 14 pp 465– (1995) |

[15] | and Forecasting and time series analysis, McGraw-Hill, New York, 1976. · Zbl 0411.62067 |

[16] | Production and operations analysis, Richard D. Irwin, Homewood, IL, 1993. |

[17] | Sterman, Manage Sci 35 pp 321– (1989) |

This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.