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Variety Reduction Model for Maintenance and Renewal Strategies
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
2004 (English)In: Proceedings NORDAC 2004: Nordic Distribution and Asset Management Conference 2004, 2004Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2004.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-8883OAI: oai:DiVA.org:kth-8883DiVA: diva2:14360
Note
QC 20111216Available from: 2005-12-06 Created: 2005-12-06 Last updated: 2011-12-16Bibliographically approved
In thesis
1. Maintenance management of complex industrial systems: a methodology for renewal strategies
Open this publication in new window or tab >>Maintenance management of complex industrial systems: a methodology for renewal strategies
2005 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

For complex technical systems in the electricity and pulp and paper industries, maintenance management addresses how to exploit physical assets in the most profitably way. This is a difficult task that requires taking into consideration parameters of totally different natures – e.g. reliability data, operating costs, condition of technical systems, the environment and rules and regulation.

An incorrect estimate of a residual lifetime can result in a premature renewal with accompanying high capital costs. If, however, renewal is delayed, a breakdown may occur which can cause major damage to technical equipment and a loss of income due to outages. Because of the complexity of many technical systems, it can be hard to select adequate data to use when making decisions about renewal strategies. To cope with this, one approach is to use less detailed models that are operated by skilled analysts.

This work demonstrates the advantage of such an approach by proposing two methods applied in a joint methodology that has its origins in RCM. The methodology consists of Dynamic Lifetime Model (DLA) and the Condition Based Index (CBI). The DLA method copes with the financial risk associated with the point in time for when a renewal is carried out and the CBI method uses critical parameters to estimate the condition of a technical system. The two methods together create a quantitative connection between reliability, maintenance and financial risk. A case study based validation of the methodology was carried out at SCA Ortvikens paper mill on a refiner system and Forsmark nuclear power plant. Lessons learned from the case study showed that the methodology could be used to identify which components could cause costly breakdown. By using the methodology a manager gets a decision support tool for estimating short-term and long-term consequences of decisions regarding maintenance management in order to maximize utility of the system concerned

Place, publisher, year, edition, pages
Stockholm: Elektrotekniska system, 2005
Series
Trita-ICS, ISSN 1104-3504 ; 0503
Keyword
residual lifetime estimation, maintennance management, technical systems in power and pulp- and paper industries, long terms maintenance strategies
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-542 (URN)
Public defence
2005-12-15, Sal C:728, Osquldas väg 12, Stockholm, 10:00
Opponent
Supervisors
Note
QC 20111216Available from: 2005-12-06 Created: 2005-12-06 Last updated: 2011-12-16Bibliographically approved

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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
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  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf