Anwendung des Data Mining zur Ableitung eines effizienten Produktfamilien-portfolios

DFX 2017: Proceedings of the 28th Symposium Design for X,4-5 October 2017, Bamburg, Germany

Year: 2017
Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author: Ole Jan, Meßerschmidt; Thomas, Gumpinger; Timo, Neuhäußer
Series: DfX
Institution: Odego GmbH
Section: Data Mining
Page(s): 037-048
ISBN: 978-3-946094-20-3-4

Abstract

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.

Keywords: efficient portfolio, portfolio management, data mining, requirement fitted variety

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.