Knowledge Documentation Based on Automatic Identification and Clustering of Change Intentions in CAD Data of Wiring Harnesses

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Kevin Eder (1,2), Wolfgang Herzog (1), Moritz Magnus Altner (1,3), Onur Tas (1), Jonas Neckenich (1), Kristin Paetzold (2)
Series: DESIGN
Institution: 1: Mercedes-Benz AG, Germany; 2: Technische Universit
Section: Design Information and Knowledge
Page(s): 683-692
DOI number: https://doi.org/10.1017/pds.2022.70
ISSN: 2732-527X (Online)

Abstract

High amount of changes and increasing complexity in CAD design of wiring harnesses result in a lack of time for documentation and transfer of acquired knowledge. To be able to transfer the gained knowledge efficiently during development automating the identification, analyzation and documentation of changes is necessary. This paper shows a methodology to address this challenge for CAD data of wiring harnesses. Thus, it is shown how interrelated change elements can be combined or separated from each other according to their change intention.

Keywords: design knowledge, knowledge management, knowledge representations, computer-aided design (CAD)