Title: Anwendung des Data Mining zur Ableitung eines effizienten Produktfamilien-portfolios
Other Titles: Application of data mining for the derivation of an efficient product family portfolio
Language: German
Authors: Meßerschmidt, Ole Jan 
Gumpinger, Thomas 
Neuhäußer, Timo 
Keywords: Data mining;Efficient portfolio;Portfolio management;Requirement fitted variety
Issue Date: 2017
Publisher: Tutech Verlag, TuTech Innovation GmbH
Source: DFX 2017: Proceedings of the 28th Symposium Design for X: 37-48 (2017)
Abstract (english): Companies want to meet the requirements of as many heterogeneous customers as possible on the one hand and offer a small variety as possible to save costs on the other hand. To resolve the resulting dilemma, this paper presents a procedure that provides a quantitative and objective decision-making basis for an efficient portfolio using data mining. Valuable information can be generated from the data that is overlooked by previous techniques by using various data mining tools. The application of the procedure in a case study shows that a similar customer satisfaction can be reached with just 40 % of the formerly available variants.
Conference: 28th Symposium Design for X, DFX 2017 
URI: http://hdl.handle.net/11420/4753
ISBN: 978-3-946094-20-3
Institute: Controlling und Simulation W-1 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
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