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Innovative DSS Utilising Available Data, Experience and Skills to Enhance Producing Asset Performance Cost-Effectively: A Case Study
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Systemekonomi)
2014 (English)In: Proceedings of the 9th World Congress on Engineering Asset Management (WCEAM) 2014, University of Pretoria Publication , 2014Conference paper, (Refereed)
Abstract [en]

Although maintenance still in many industries is interpreted as a necessary evil, nowadays by increasing competitions in business, decision-making in maintenance management gets higher priority in order to continuously reduce production cost and increase profit margin. Cost-effective maintenance decisions based on quantitative assessments of maintenance impact on production and its cost improve maintenance status and convert its rule from a cost to a profit-centre. In producing companies, it is vital to consider both economic and technical impact of maintenance to provide better chances for improving company profit margin. In this study, we propose a model, eMaintenance Decision Support System (eMDSS), for assisting companies to achieve these results followed by substantial results from a case study. The model application can be briefed in improvement of decision-making processes from technical and economic perspectives to direct them into the company profitability aligned with the company goals. Further, it proposes technical and economic indicators and improves utilization of maintenance resources including personnel skills and experience to enhance maintenance performance and develop cost-effective scenarios. eMDSS provides an intelligent facilitator which improves accurate decision-making and identifying and prioritizing maintenance problems, investments and follow up them. eMDSS is applied on a real case. Reliability of the achieved results are tested and approved in detail. It is used successful in evaluating previous technical and economic decisions and selecting the most cost-effective scenario with a saving exceeding 133K€ and profit of 114K€ for the case equipment

Place, publisher, year, edition, pages
University of Pretoria Publication , 2014.
Keyword [en]
Cost-effectiveness; Decision-Making; eMDSS; Equipment Performance; Maintenance Data; Maintenance performance; OEE; Personnel Experience and Skills; Rotating assets; Vibration-based Maintenance.
National Category
Business Administration Production Engineering, Human Work Science and Ergonomics
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-60786ISBN: 978-1-77592-073-1 (print)OAI: oai:DiVA.org:lnu-60786DiVA: diva2:1075814
Conference
9th World Congress on Engineering Asset Management (WCEAM), Pretoria South Africa, 28 – 31 October, 2014
Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-04-13Bibliographically 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
  • text
  • asciidoc
  • rtf