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Knowledge objects enable mass-individualization
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0003-1162-724x
Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.ORCID iD: 0000-0002-3677-8311
2019 (English)In: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. / [ed] Andrés-Pérez E., González L., Periaux J., Gauger N., Quagliarella D., Giannakoglou K., Cham: Springer , 2019, p. 371-386Chapter in book (Refereed)
Abstract [en]

Mass customization and product individualization are driving factors behind design automation, which in turn are enabled through the formalization and automation of engineering work. The goal is to offer customers optimized solutions to their needs timely and as profitable 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: formally represented product knowledge, facilities to automatically apply the 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. Knowledge Objects are human readable descriptions of formalized knowledge bundled with corresponding computer routines for the automation of that knowledge. One case example is given at the end of the paper to demonstrate the use of knowledge objects. © 2019, Springer International Publishing AG, part of Springer Nature.

Place, publisher, year, edition, pages
Cham: Springer , 2019. p. 371-386
Series
Computational Methods in Applied Sciences, ISSN 1871-3033, E-ISSN 2543-0203 ; 49
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hj:diva-41473DOI: 10.1007/978-3-319-89890-2_24Scopus ID: 2-s2.0-85053005051ISBN: 978-3-319-89889-6 (print)ISBN: 978-3-319-89890-2 (electronic)OAI: oai:DiVA.org:hj-41473DiVA, id: diva2:1249041
Available from: 2018-09-18 Created: 2018-09-18 Last updated: 2019-02-14Bibliographically approved

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Johansson, JoelElgh, Fredrik

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CiteExportLink to record
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