Review article

Analysis of the pattern aggregation impact on the demand forecasting

Diana Božić orcid.org/0000-0003-0458-7382 ; Fakultet prometnih znanosti, Zagreb, Hrvatska
Ratko Stanković orcid.org/0000-0002-5793-5558 ; Fakultet prometnih znanosti, Zagreb, Hrvatska
Goran Kolarić ; Veleučilište u Varaždinu, Varaždin, Hrvatska

Abstract

Supply chains are rarely in their basic, simple form – they involve different participants who respectively use demand forecasting methods related to their filed. Demand forecasting based on orders received instead on end user demand data will inherently become more and more inaccurate as it moves up the supply chain. Each participant in a supply chain receives different fluctuations data in the orders obtained, which is caused by the bullwhip effect. In order to mitigate these distortions, producers require the distributors to deliver the data on demand forecasting for a certain market. Thus the distributor tries to find the appropriate forecast method. This can be very difficult since the demand patterns of buyers differ. The paper analyses the pattern aggregation used for demand forecasting by applying different forecasting methods.

Keywords

time series forecasting methods; demand pattern aggregation; bullwhip effect; supply chain

Hrčak ID:

112068

URI

https://hrcak.srce.hr/112068

Publication date:

10.12.2013.

Article data in other languages: croatian

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