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Planning Production and Inventories in the Extended Enterprise pp 103–117Cite as

Demand Forecasting Problems in Production Planning

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Part of the International Series in Operations Research & Management Science book series (ISOR,volume 151)

Abstract

A recent survey of 247 senior finance executives (CFO Research Services, 2003) found that “accurately forecasting demand” was the most commonly occurring problem in their companies’ supply chain management. Forecasting is recognized as a hard problem. “It is difficult to predict, especially the future,” according to a quotation attributed to Niels Bohr (among many others).

Keywords

  • Lead Time
  • Forecast Error
  • Mean Absolute Percentage Error
  • Product Family
  • Forecast Accuracy

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fig. 6.1
Fig. 6.2

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Author information

Authors and Affiliations

  1. IBM Research Division, T. J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY, 10598, USA

    Jonathan R. M. Hosking

Authors
  1. Jonathan R. M. Hosking
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Corresponding author

Correspondence to Jonathan R. M. Hosking .

Editor information

Editors and Affiliations

  1. Decision Technologies, Intel Corporation, W. Chandler Blvd. 5000, Chandler, 85226, Arizona, USA

    Karl G. Kempf

  2. School of Industrial &, Systems Engineering, Georgia Institute of Technology, Ferst Drive NW., 765, Atlanta, 30332-0205, Georgia, USA

    Pınar Keskinocak

  3. , Edward P. Fitts Department of Industrial, North Carolina State University, Daniels Hall 300, Raleigh, 27695, North Carolina, USA

    Reha Uzsoy

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Hosking, J.R.M. (2011). Demand Forecasting Problems in Production Planning. In: Kempf, K., Keskinocak, P., Uzsoy, R. (eds) Planning Production and Inventories in the Extended Enterprise. International Series in Operations Research & Management Science, vol 151. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6485-4_6

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