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ASACT - Data preparation for forecasting: A method to substitute transaction data for unavailable product consumption data

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  • Murray, Paul W.
  • Agard, Bruno
  • Barajas, Marco A.

Abstract

Strategic supply chain planning relies on accurate, long-range forecasts. Accurate forecasts, in turn, rely on the availability of suitable data and information from which a prediction can be made. In some domains, such as vendor managed inventory, product consumption data may not be available because of a lack of collaborative information. Delivery records are on occasion substituted for absent consumption data. This substitute information, however, can appear lumpy and intermittent due to the bullwhip effect and other logistics factors.

Suggested Citation

  • Murray, Paul W. & Agard, Bruno & Barajas, Marco A., 2018. "ASACT - Data preparation for forecasting: A method to substitute transaction data for unavailable product consumption data," International Journal of Production Economics, Elsevier, vol. 203(C), pages 264-275.
    • Handle: RePEc:eee:proeco:v:203:y:2018:i:c:p:264-275
    DOI: 10.1016/j.ijpe.2018.07.010
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    References listed on IDEAS

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    Cited by:

    1. Ducharme, Corey & Agard, Bruno & Trépanier, Martin, 2021. "Forecasting a customer's Next Time Under Safety Stock," International Journal of Production Economics, Elsevier, vol. 234(C).

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