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On the effect of non-optimal forecasting methods on supply chain downstream demand

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>1/01/2012
<mark>Journal</mark>IMA Journal of Management Mathematics
Issue number1
Number of pages17
Pages (from-to)81-98
Publication StatusPublished
Early online date25/03/11
<mark>Original language</mark>English


Demand information sharing is used by many organizations to counter the bullwhip effect. A stream of recent papers claims that the upstream member can mathematically infer the demand at the downstream link (downstream demand inference [DDI]) without any formal information sharing mechanism. In this paper, we investigate DDI when non-optimal forecasting methods are employed by supply chains. We show that in the case of a simple moving average forecast, the demand at the downstream link can be inferred. In the case of single exponential smoothing (SES), downstream demand cannot be inferred and thus needs to be shared. Finally, we quantify the value of sharing demand information when SES is employed.

Bibliographic note

Accepted February 9th 2011