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Research in Logistics & Production

Tytuł artykułu

Granularity dependency of forecast accuracy in semiconductor industry

Autorzy Ott, H. C.  Heilmayer, S.  Sng, C. S. Y. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN Accurate demand forecasting is critical in the semiconductor industry due to high production costs, long lead times, and high market volatility. To remain competitive, companies strive for accurate forecasts to drive their planning cycles and meet customer demand. Although an organisation may not be able to control the accuracy of forecast received due to externalities, they can define the granularity which is most suited to the purpose of the forecasting. Infineon Technologies uses different product granularities for the sales and marketing forecast, for the operational demand forecast and for the monthly volume rolling forecast (VRFC). The latter is the subject of this work. This paper presents the impact of forecast granularity for the VRFC on the accuracy of the plan and checks the dependency of this forecast accuracy on time over the entire planning horizon. Sources of inaccuracies were also identified through discussion with the company experts. The results of this study indicate that granularities and time do have significant impact over the plan accuracy.
Słowa kluczowe
EN semiconductor   forecast accuracy   granularity   planning   Infineon Technologies   UniSIM  
Wydawca Publishing House of Poznan University of Technology
Czasopismo Research in Logistics & Production
Rocznik 2013
Tom Vol. 3, No. 1
Strony 49--58
Opis fizyczny Bibliogr. 3 poz.
autor Ott, H. C.
autor Heilmayer, S.
autor Sng, C. S. Y.
Kremers, L. (2011), 2010 State of Supply Chain Performance in Semiconductor Industry, iCognitive.
Z. Kevin Weng, (1999), Risk-pooling over demand uncertainty in the presence of product Modularity, (accessed 29 October 2011).
Whalen, M. (2004), Responding to Volatility in the Semiconductor Supply Chain, IDC,, (accessed 8 August 2011).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-7106500a-278a-43f3-8a8c-2123a41cd9f2