DATA DRIVEN DESIGN SELECTION AND GENERATION - AN INDUSTRIAL CASE STUDY ON ELECTRIC MOTORS
DS 92: Proceedings of the DESIGN 2018 15th International Design Conference
Editor: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author: Tüchsen, Johann; Pop, Adrian Cornel; Koch, Matthias; Schleich, Benjamin; Wartzack, Sandro
Section: DESIGN INFORMATION AND KNOWLEDGE
DOI number: https://doi.org/10.21278/idc.2018.0223
This paper presents a novel design selection and generation mechanism for fast and efficient solution-finding based on the knowledge-based systems concept. Such a mechanism can be fully exploited in the early design phases (i.e. quotation phase), when the supplier has to propose both a technically feasible and pricewise attractive solution to the OEM's request. The benefits of the presented method are a massive time reduction from several weeks to less than one day as well as an improvement of the overall solutions quality as all possible technologies are evaluated parallel.
Keywords: selection and generation, electric motor design, data driven design, knowledge based engineering (KBE), decision making