Machine performance and availability prediction through the lifetime

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Machine performance, availability and long lifetime play important role in operations and maintenance planning for industrial players e.g. with heavy working machines. Recently, circular economy discussions have even more highlighted the role of the maintenance and lifecycle design from the efficiency and sustainability perspective. [1] The new technologies are considered enablers for circular economy change e.g. additive manufacturing enables advanced solutions for both functional optimization and local manufacturing, furthermore the increased intelligence of the products and the data availability during the whole lifetime enable reliability and predictability of machine performance. The manufacturing companies have a crucial role for implementing these changes into the products and machines they produce. Furthermore, in machinery industry, change from single machines to automated machinery fleets brings new challenges for safety, reliability and maintenance; autonomy in mobile machine applications will increase and operator-assisting technologies will be widely utilized. New energy supply systems in machinery, like hybrid technologies, full electric and fuel cell systems are coming to mobile work machines as well. We concentrate in this paper to the importance of early state concept design, design for maintenance, reliability, availability and safety and how significant advantages in Overall Equipment Effectiveness (OEE) can be gained through hybrid modelling and an increased understanding of the system's behaviour throughout its whole life cycle.
Original languageEnglish
Title of host publicationProceedings
PublisherTampere University of Technology
Pages5-7
ISBN (Print)978-9522-15-4040-0
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventAnnual SMACC Research Seminar 2017 - Tampere, Finland
Duration: 7 Nov 20177 Nov 2017
Conference number: 2
http://smacc.fi

Seminar

SeminarAnnual SMACC Research Seminar 2017
CountryFinland
CityTampere
Period7/11/177/11/17
Internet address

Fingerprint

Availability
Machinery
3D printers
Electric batteries
Sustainable development
Fuel cells
Life cycle
Industry
Planning

Keywords

  • machine performance
  • circular economy
  • overall equipment effectiveness
  • hybrid modelling

Cite this

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title = "Machine performance and availability prediction through the lifetime",
abstract = "Machine performance, availability and long lifetime play important role in operations and maintenance planning for industrial players e.g. with heavy working machines. Recently, circular economy discussions have even more highlighted the role of the maintenance and lifecycle design from the efficiency and sustainability perspective. [1] The new technologies are considered enablers for circular economy change e.g. additive manufacturing enables advanced solutions for both functional optimization and local manufacturing, furthermore the increased intelligence of the products and the data availability during the whole lifetime enable reliability and predictability of machine performance. The manufacturing companies have a crucial role for implementing these changes into the products and machines they produce. Furthermore, in machinery industry, change from single machines to automated machinery fleets brings new challenges for safety, reliability and maintenance; autonomy in mobile machine applications will increase and operator-assisting technologies will be widely utilized. New energy supply systems in machinery, like hybrid technologies, full electric and fuel cell systems are coming to mobile work machines as well. We concentrate in this paper to the importance of early state concept design, design for maintenance, reliability, availability and safety and how significant advantages in Overall Equipment Effectiveness (OEE) can be gained through hybrid modelling and an increased understanding of the system's behaviour throughout its whole life cycle.",
keywords = "machine performance, circular economy, overall equipment effectiveness, hybrid modelling",
author = "P{\"a}ivi Kivikyt{\"o}-Reponen and Risto Tiusanen and Jari Halme and Kalle Raunio and Olli Saarela",
note = "Project code: 110855",
year = "2017",
language = "English",
isbn = "978-9522-15-4040-0",
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booktitle = "Proceedings",
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Kivikytö-Reponen, P, Tiusanen, R, Halme, J, Raunio, K & Saarela, O 2017, Machine performance and availability prediction through the lifetime. in Proceedings. Tampere University of Technology, pp. 5-7, Annual SMACC Research Seminar 2017, Tampere, Finland, 7/11/17.

Machine performance and availability prediction through the lifetime. / Kivikytö-Reponen, Päivi; Tiusanen, Risto; Halme, Jari; Raunio, Kalle; Saarela, Olli.

Proceedings. Tampere University of Technology, 2017. p. 5-7.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Machine performance and availability prediction through the lifetime

AU - Kivikytö-Reponen, Päivi

AU - Tiusanen, Risto

AU - Halme, Jari

AU - Raunio, Kalle

AU - Saarela, Olli

N1 - Project code: 110855

PY - 2017

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N2 - Machine performance, availability and long lifetime play important role in operations and maintenance planning for industrial players e.g. with heavy working machines. Recently, circular economy discussions have even more highlighted the role of the maintenance and lifecycle design from the efficiency and sustainability perspective. [1] The new technologies are considered enablers for circular economy change e.g. additive manufacturing enables advanced solutions for both functional optimization and local manufacturing, furthermore the increased intelligence of the products and the data availability during the whole lifetime enable reliability and predictability of machine performance. The manufacturing companies have a crucial role for implementing these changes into the products and machines they produce. Furthermore, in machinery industry, change from single machines to automated machinery fleets brings new challenges for safety, reliability and maintenance; autonomy in mobile machine applications will increase and operator-assisting technologies will be widely utilized. New energy supply systems in machinery, like hybrid technologies, full electric and fuel cell systems are coming to mobile work machines as well. We concentrate in this paper to the importance of early state concept design, design for maintenance, reliability, availability and safety and how significant advantages in Overall Equipment Effectiveness (OEE) can be gained through hybrid modelling and an increased understanding of the system's behaviour throughout its whole life cycle.

AB - Machine performance, availability and long lifetime play important role in operations and maintenance planning for industrial players e.g. with heavy working machines. Recently, circular economy discussions have even more highlighted the role of the maintenance and lifecycle design from the efficiency and sustainability perspective. [1] The new technologies are considered enablers for circular economy change e.g. additive manufacturing enables advanced solutions for both functional optimization and local manufacturing, furthermore the increased intelligence of the products and the data availability during the whole lifetime enable reliability and predictability of machine performance. The manufacturing companies have a crucial role for implementing these changes into the products and machines they produce. Furthermore, in machinery industry, change from single machines to automated machinery fleets brings new challenges for safety, reliability and maintenance; autonomy in mobile machine applications will increase and operator-assisting technologies will be widely utilized. New energy supply systems in machinery, like hybrid technologies, full electric and fuel cell systems are coming to mobile work machines as well. We concentrate in this paper to the importance of early state concept design, design for maintenance, reliability, availability and safety and how significant advantages in Overall Equipment Effectiveness (OEE) can be gained through hybrid modelling and an increased understanding of the system's behaviour throughout its whole life cycle.

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