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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)
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
2016 (English)In: Proceedings of 2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) 2016 World Congress on Engineering Asset Management (WCEAM2016), Institute of Reliability Engineering , 2016, 1-7 p., QR2MSE2016 & WCEAM2016-0003-0038Conference 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 order to record these failures for better actions planning, special systems are often used for counting the number of failures, registering the duration of machines downtime and uptime for assessing the total downtime and classifying problems/failures in categories that are decided in advance. These categories can be Electrical, Electronic, Hydraulic, Mechanical, Pneumatics, Human error, and Miscellaneous. In this study, we develop a model to break down the contents of a company/machine failure databases, prioritize failures, assess economic losses due to failure impact on the competitive advantages and suggest a method of how maintenance actions should be rank-ordered cost-effectively. The model is tested using real data. The major results showed that losses aremainly due to two categories 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 that this model enables the user to quickly identify and prioritize maintenance and improvement efforts cost-effectively.

Place, publisher, year, edition, pages
Institute of Reliability Engineering , 2016. 1-7 p., QR2MSE2016 & WCEAM2016-0003-0038
Keyword [en]
Maintenance Performance Enhancement; Failures Impacts; Competitive Advantages, Decision Making, Decision Support Systems, Maintenance Impact on Company Business, Significant Failures Identification and Prioritization
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-60782OAI: oai:DiVA.org:lnu-60782DiVA: diva2:1075812
Conference
International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) 2016 World Congress on Engineering Asset Management (WCEAM2016, July 25-28, 2016, Jiuzhaigou, Sichuan, China
Note

Ej belagd 170314

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-03-14Bibliographically approved

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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
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  • asciidoc
  • rtf