Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Optimisation of food and engineering supply chain technology (OPTFEST): a case study
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
University of Sunderland.
University of Sunderland.
Glenmorangie Company.
Show others and affiliations
2013 (English)In: International Congress of Condition Monitoring and Diagnostic Engineering Management: Comadem 2013 / [ed] Antti Heijo, Helsinki: KP-Media Oy Messuaukio 1 00520 Helsinki Finland , 2013, p. 498-503Conference paper, Published paper (Refereed)
Abstract [en]

Predictive maintenance attempts to detect theonset of a degradation mechanism with thegoal of correcting that degradation prior tosignificant deterioration in the component orequipment. The diagnostic capabilities ofpredictive maintenance technologies haveincreased in recent years. The advances insensor technologies, component sensitivities,size reductions, and most importantly, cost,has allowed manufacturing processes,especially where once this technology was‘missing’, the opportunity to enter a new andnecessary area of diagnostics. One area inparticular is the food and drink industry.However, with the introduction of any newtechnology, proper application and training isof critical importance. In addition, theimplementation of any new maintenancestrategy should be supported by a welldeveloped information system. This paper willpresent the development and implementation,through case study analysis, of a newmaintenance strategy using predictivemaintenance strategies and an informationsystem designed to support staff training. Thisproject has resulted in the transfer of modernmaintenance technologies, alreadysuccessfully implemented in other industrysectors to the food processing sector. This hasbeen achieved through the transfer andimplementation of structured maintenancemethods and the introduction of monitoringtools for processing equipment. Significantbenefits include the ability to predict equipmentfailure, the development of best practice andcompliance with supplier audits. Theinformation interchange systems developed inthe project allow both users and suppliers todevelop and improve engineering andmaintenance guidelines, thus enabling theuser to improve plant and production efficiencyand determine the correct mix of technologies.

Place, publisher, year, edition, pages
Helsinki: KP-Media Oy Messuaukio 1 00520 Helsinki Finland , 2013. p. 498-503
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-34727Local ID: 901aa93c-13d6-4834-ab38-13d98fb5d17dISBN: 978-952-67981-0-3 (electronic)OAI: oai:DiVA.org:ltu-34727DiVA, id: diva2:1007978
Conference
International Congress of Condition Monitoring and Diagnostic Engineering Management : 11/06/2013 - 13/06/2013
Note
Godkänd; 2013; 20130701 (diegal)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Baglee, DavidGalar, Diego

Search in DiVA

By author/editor
Baglee, DavidGalar, Diego
By organisation
Operation, Maintenance and Acoustics
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf