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Maintenance Decision Making, Supported by Computerized Maintenance Management System
Volvo Group Trucks Operations Powertrain Production, Köping, Sweden .
Western New England University, Springfield, MA, United States.
2016 (English)In: IEEE 2016 The Annual Reliability and Maintainability Symposium IEEE RAMS 2016, 2016Conference paper, Published paper (Refereed)
Abstract [en]

This paper is written based on the need for Computerized Maintenance Management System’s (CMMS) decision analysis capability to achieve world class status in maintenance management. Investigations indicate that decision analysis capability is often missing in existing CMMSs and collected data in the systems are not completely utilized. How to utilize the gathered data to provide guidelines for maintenance engineers and managers to make proper maintenance decisions has always been a crucial question. In order to provide decision support capability, the aim of this paper is to provide and examine three different decision making techniques which can be linked to CMMS and add value to collected data. This research has been conducted within a global project in a large manufacturing site in Sweden to provide a new maintenance management system for the company. The data from the main studies were collected through document analysis complemented by discussions with maintenance engineers and managers at the case company to verify the data. Methods including a Multiple Criteria Decision Making (MCDM) technique called TOPSIS, k-means clustering technique, and one decision making model borrowed from the literature were used. The results indicate the most appropriate maintenance decision for each of the selected machines/parts according to factors such as frequency of breakdowns, downtime, and cost of repairing. The paper concludes with a comparison of results obtained from the different decision making techniques and also a discussion on possible improvements needed to increase the capability of the maintenance decision making models.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Computerized Maintenance Management System (CMMS), Maintenance Decision Making, Multiple Criteria Decision Making (MCDM), Data Clustering
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-32776DOI: 10.1109/RAMS.2016.7448086Scopus ID: 2-s2.0-84968884451ISBN: 978-1-5090-0248-1 (print)OAI: oai:DiVA.org:mdh-32776DiVA: diva2:1010090
Conference
IEEE 2016 The Annual Reliability and Maintainability Symposium IEEE RAMS 2016, 25 Jan 2016, Tucson, United States
Projects
Reducing maintenance-related wasteINNOFACTURE - innovative manufacturing development
Available from: 2016-09-30 Created: 2016-08-24 Last updated: 2016-09-30Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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