Matrix-Based Multivariate Analysis of Survey Data on Potentials for the Collaboration of Design and Simulation

DS 97: Proceedings of the 21st International DSM Conference (DSM 2019), Monterey, California, September 23rd - 25th 2019

Year: 2019
Editor: Harold (Mike) Stowe; Tyson R. Browning; Steven D. Eppinger; Jintin Tran; Paulo Montijo
Author: Schweigert-Recksiek, Sebastian; Koch, Christian; Lindemann, Udo
Series: DSM
Institution: Technical University of Munich
Section: Managing Organizations
Page(s): 10
DOI number:
ISBN: 978-1-912254-06-4


Companies are increasingly forced to assert themselves in the market through efficient product development. Since use and potential of mechanical simulations have greatly increased in recent years, many companies find it difficult to integrate the corresponding departments efficiently in the development process. This paper looks for patterns in the data of a survey-based study on the state of the collaboration between design and simulation to identify significant relationships between the variables in the data set and thus describe the interdependence between the corresponding barriers and improvement measures for these two departments. Using a domain mapping approach, it was possible to consequently link suitable improvement measures to the corresponding barriers. By clustering response patterns, typical industry situations that lead either to efficient or inefficient collaboration could be identified. The selected methods were suitable to identify relevant connections that can help companies to choose the right measures to improve their specific situation.

Keywords: collaboration, product development process, statistical analysis, cluster analysis, domain-mapping matrix


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.