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DATA DRIVEN DESIGN SELECTION AND GENERATION - AN INDUSTRIAL CASE STUDY ON ELECTRIC MOTORS

Tüchsen, Johann; Pop, Adrian Cornel; Koch, Matthias; Schleich, Benjamin; Wartzack, Sandro


Type:
Year:
2018
Editor:
Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author:
Series:
DESIGN
Section:
DESIGN INFORMATION AND KNOWLEDGE
Page(s):
1709-1720
DOI number:
Abstract:
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:

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