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Machine tool ability representation: A review
(Manufacturing and Metrology Systems)
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Manufacturing and Metrology Systems)
(Manufacturing and Metrology Systems)
2018 (English)In: Journal of Machine Engineering, ISSN 1895-7595/2391-8071, Vol. 18, no 2, p. 5-16Article in journal (Refereed) Published
Abstract [en]

 Smart manufacturing and predictive maintenance are current trends in the manufacturing industry. However, the holistic understanding of the machine tool health condition in terms of accuracy, functions, process and availability is still unclear. This uncertainty renders the development of models and the data acquisition related to machine tool health condition ineffective. This paper proposes the term machine tool ability as an interconnection between the accuracy, functions, the process and the availability to overcome the lack of the holistic understanding of the machine tool. This will facilitate the further development of qualitative or quantitative methods as well as models. The research highlights the challenges and gaps to understand the machine tool ability.

Place, publisher, year, edition, pages
Wroclaw: EDITORIAL INSTITUTION OF THE WROCŁAW BOARD OF SCIENTIFIC TECHNICAL SOCIETIES FEDERATION NOT , 2018. Vol. 18, no 2, p. 5-16
Keywords [en]
Machine tool, ability, health, predictive maintenance, accuracy
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-231464DOI: 10.5604/01.3001.0012.0919OAI: oai:DiVA.org:kth-231464DiVA, id: diva2:1228563
Projects
Vinnova FFI Daimp
Funder
XPRES - Initiative for excellence in production researchAvailable from: 2018-06-28 Created: 2018-06-28 Last updated: 2018-06-28

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  • apa
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  • de-DE
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