Herausforderungen in der Validierung der Variantenbeschreibung komplexer Produkte

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: Felix, Braun; Matthias, Kreimeyer; Bastian, Kopal; Kristin, Paetzold
Series: DfX
Institution: Uni BW München
Section: Data Mining
Page(s): 061-073
ISBN: 978-3-946094-20-3-6

Abstract

Due to an increasing demand for products with many variants, variant-oriented data models to describe product architectures are used in combina-tion with PDM-systems. When modeling complex product portfolios, relations between elements are defined using Boolean rules. As the space of variants is too large to be validated manually, algorithmic validation tools are required. This article describes the underlying requirements for variant-oriented data models, and it outlines and classifies use cases for algorithmic validation tools. This work helps to support an industry project of a leading commercial vehicle manufacturer to implement an entire PDM ecosystem.

Keywords: Validation methodology, Variant description, PDM system, Boolean rules