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Dynamic and Cost-effective Maintenance Decisions
Linnaeus University, Faculty of Science and Engineering, School of Engineering. (Systemekonomi)ORCID iD: 0000-0001-8205-8289
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.ORCID iD: 0000-0002-8132-2698
2010 (English)In: E-maintenance / [ed] Kenneth Holmberg, London: Springer, 2010, 1, p. 345-390Chapter in book (Refereed)
Abstract [en]

In general, all the elements involved in a production process, such as tools, machinery, methods, competence and working environment are exposed to changes. Thus, to maintain and improve company profitability and competitiveness, it is necessary to reduce losses through maintaining and improving the quality of the elements involved in the production process. Therefore, the maintenance strategy applied should be dynamic to be suited for all these changes cost-effectively. In producing companies, the accuracy of maintenance decisions is essential for reducing economic losses generated due to unnecessary stoppages in companies of intensive capital investment where stoppage time is expensive, especially in paper and pulp mills, refineries, power stations and engineering manufacturing. Therefore, it is necessary for maintenance and production managers to have a system providing the data required to achieve dynamic and cost-effective maintenance decisions.

In this chapter, the new maintenance decision support system (MDSS) for achieving dynamic and cost-effective maintenance decisions developed in Chapter 12 is tested and discussed. The developed system is MIMOSA compatible, consists of three toolsets and five software modules for performing six services to achieve different objectives, e.g.:

  1. higher accuracy of maintenance decisions;

  2. selection of the most cost-effective maintenance solutions;

  3. identification and prioritisation of problem areas and assessment of losses in production time; and

  4. mapping, follow up and assessment of maintenance cost-effectiveness (maintenance savings and profit) to achieve continuous and cost effective improvement.

Place, publisher, year, edition, pages
London: Springer, 2010, 1. p. 345-390
Keywords [en]
Dynamic Maintenance Decisions, Cost-effective Maintenance, MDSS Applications, MIMOSA for Maintenance
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-9280DOI: 10.1007/978-1-84996-205-6_13Scopus ID: 2-s2.0-84892295126ISBN: 978-1-84996-204-9 (print)ISBN: 9781849962056 (print)OAI: oai:DiVA.org:lnu-9280DiVA, id: diva2:361193
Available from: 2010-11-08 Created: 2010-11-08 Last updated: 2019-02-26Bibliographically approved

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Al-Najjar, BasimEberhagen, Niclas

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