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April 1, 1960Management Science2,130 citations

Forecasting Sales by Exponentially Weighted Moving Averages

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PWPeter R. Winters

Key Points

  • To develop and evaluate an exponentially weighted moving average forecasting method designed for routine, computationally efficient sales and inventory forecasting.
  • Formulated mathematical variants of exponential forecasting systems for automated inventory control and production planning.
  • Evaluated computational speed, information storage requirements, and adaptability to changing sales conditions across practical applications.
  • Exponential forecasting models achieved favorable predictive accuracy compared to traditional forecasting methods.
  • The system maintained low computational costs and minimal data storage requirements while remaining responsive to rapid sales fluctuations.

Abstract

The growing use of computers for mechanized inventory control and production planning has brought with it the need for explicit forecasts of sales and usage for individual products and materials. These forecasts must be made on a routine basis for thousands of products, so that they must be made quickly, and, both in terms of computing time and information storage, cheaply; they should be responsive to changing conditions. The paper presents a method of forecasting sales which has these desirable characteristics, and which in terms of ability to forecast compares favorably with other, more traditional methods. Several models of the exponential forecasting system are presented, along with several examples of application.

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Cite This Study

Peter R. Winters (1960) studied this question.

synapsesocial.com/papers/6a0fef0592676d5461fd48c1https://doi.org/10.1287/mnsc.6.3.324
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