Descriptive attributes of analysis use cases in the data-driven validation of elements in the system of objectives
Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nad
Author: Wagenmann, Steffen (1,2); Weidinger, Felicia (1); Schöck, Moritz (2); Albers, Albert (2); Bursac, Nikola (3)
Series: ICED
Institution: 1: TRUMPF Machine Tools SE+Co.KG;2: IPEK, Karlsruher Institute of Technology;3: Technical University of Hamburg
Section: Design Methods
Page(s): 1207-1216
DOI number: https://doi.org/10.1017/pds.2023.121
ISBN: -
ISSN: -
Abstract
Usage data of reference systems can be analyzed in the development process for the validation of system elements. The process model for data-driven validation of elements in the system of objectives aids developers in performing such data analyses. The conducted studies show that the basis for an efficient analysis process is a common understanding of the system and the goal of the analysis. Therefore, a template was derived over the course of case studies describing the elements in the system of objectives. The template covers the three descriptive dimensions general information, technical system and data. It allows a comprehensive description of analysis use cases. On average it takes 11 minutes for developers to aggregate all necessary information and consequently fill out the template. An A/B-Test confirmed the comprehensibility and applicability of the template even for developers of different domain knowledge. Through its contribution to a sustainable knowledge management the template provides an added value for the developers for conducting analysis.
Keywords: Big data, Complexity, New product development, Data-driven development