Object structure

Title:

Granularity dependency of forecast accuracy in semiconductor industry

Creator:

Ott, Holly Claudia ; Heilmayer, Stefan

Contributor:

Yee, Cindy Sng Sin

Subject and Keywords:

semiconductor ; forecast accuracy ; granularity ; planning ; Infineon Technologies ; UniSIM

Abstract:

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.

Publisher:

Publishing House of Poznan University of Technology

Place of publication:

Poznań

Object type:

artykuł

Identifier:

e-ISSN 2083-4950 ; p-ISSN 2083-4942

Language:

eng

Relation:

Wydział Inżynierii Zarządzania ; Politechnika Poznańska ; Strona czasopisma

Rights Management:

Politechnika Poznańska

Publication date:

2013

Format:

pp. 49-58

Rights:

wszystkie prawa zastrzeżone

Access rights:

dla wszystkich w zakresie dozwolonego użytku

Rights holder:

Politechnika Poznańska

Digital object format:

application/pdf