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A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Systemekonomi)ORCID iD: 0000-0001-8205-8289
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Systemekonomi)
2018 (English)In: Engineering Asset Management 2016: roceedings of the 11th World Congress on Engineering Asset Management, Switzerland: Springer, 2018, p. 1-12Conference paper, Published paper (Refereed)
Abstract [en]

In today’s market, companies strive to achieve the competitive advantages.Failing in achieving these goals could threaten the companies’ existence.Failures in the operative level impact negatively on achieving these goals. In orderto record these failures for better actions planning, special systems are often usedfor counting the number of failures, the duration of machines downtime and uptimefor assessing the total downtime and classifying problems/failures in categories thatare decided in advance. In this study, we develop a model to break down thecontents of a company failure databases, prioritize failures, assess economic lossesdue to failure impact on the competitive advantages and suggest a method of howmaintenance actions should be rank-ordered cost-effectively. The model is testedusing real data. The major results showed that losses are mainly due to twocategories i.e. “Bad quality” and “Less profit margin”, where failures of “Gear”,“Bearing” and “Raw materials quality” cause most of the losses. It is concluded thatthis model will enable the user to quickly identify and prioritize maintenance andimprovement efforts cost-effectively.

Place, publisher, year, edition, pages
Switzerland: Springer, 2018. p. 1-12
Series
Lecture notes in Mechanical Engineering, ISSN 2195-4356
Keyword [en]
Failures impact • Failure classification • Maintenance impact on competitive advantages • Maintenance decision making • Maintenance performance enhancement
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-70421DOI: 10.1007/978-3-319-62274-3_1ISBN: 978-3-319-62274-3 (electronic)OAI: oai:DiVA.org:lnu-70421DiVA: diva2:1179736
Conference
The 11th World Congress on Engineering Asset Management WCEAM), Jiuzhaigou, China, 25–28 July, 2016
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2018-02-09Bibliographically approved

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Al-Najjar, BasimAlgabroun, Hatem

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CiteExportLink to record
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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
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  • text
  • asciidoc
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