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Knowledge Objects Enable Mass-Individualization
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.ORCID iD: 0000-0003-1162-724x
Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.ORCID iD: 0000-0002-3677-8311
2017 (English)In: EUROGEN 2017 – BOOK of Extended Abstracts / [ed] Esther Andrés, Leo González, Jacques Periaux, Nicolas Gauger, Kyriakos Giannakoglou, Domenico Quagliarella, Madrid: Technical University of Madrid , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Mass customization and product individualization are driving factors behind design automation, which in turn are enabled through the digitalization of engineering work. The goal is to offer customers optimized solutions to their needs timely and with as high profit as possible. The path to achieve such a remarkable goal can be very winding and tricky for many companies, or even non-existing at the moment being. To succeed requires three essential parts: digitized product knowledge, facilities to automate the digitized product knowledge, and optimization algorithms. This paper shows how these three parts can be supported in engineer-to-order businesses through the concept of knowledge objects. Two case examples are also described in the paper.

Place, publisher, year, edition, pages
Madrid: Technical University of Madrid , 2017.
Keywords [en]
Mass-individualization, design automation, knowledge objects, knowledge based engineering, optimization, design platform, engineering knowledge
National Category
Production Engineering, Human Work Science and Ergonomics Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:hj:diva-37321ISBN: 978-84-697-5112-1 (electronic)OAI: oai:DiVA.org:hj-37321DiVA, id: diva2:1141972
Conference
EUROGEN2017 : International Conference on Evolutionary and Deterministic Methods for Design Optimization and Control with Applications to Industrial and Societal Problems, Madrid, Sep 13-15, 2017.
Available from: 2017-09-18 Created: 2017-09-18 Last updated: 2018-08-17Bibliographically approved

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Johansson, JoelElgh, Fredrik

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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Output format
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