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Modular-Based Framework of Key Performance Indicators Regulating Maintenance Contracts
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.ORCID iD: 0000-0002-2637-6175
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering. Linnaeus University, Faculty of Technology, Department of Mechanical Engineering.
2019 (English)In: Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery / [ed] Joseph Mathew C W Lim Lin Ma Don Sands Michael E. Cholette Pietro Borghesani, Springer, 2019, p. 301-310Chapter in book (Refereed)
Abstract [en]

Key performance indicators (KPI) are necessary for regulating maintenance performance, setting goals as well as for follow up and improvement. Several standards and models for measuring maintenance performance exist today, but these are mainly developed for in-house maintenance. For outsourced maintenance, which is regulated in a service contract, other kinds of KPIs are needed. The procurement of maintenance and contract forms is also changing; an alternative to the traditional maintenance contract based on fixed price and predetermined activities are the performance-based contracts. Cooperation contracts based on mutual trust and fairness for all parties are also available. New KPI models for regulating maintenance service contracts are therefore needed. In this paper, a KPI framework for maintenance contracts based on the concept of modular maintenance offerings is proposed. Modular maintenance offerings is a way to classify maintenance services offerings with increasing integration of the offering, and increasing focus on utility for the customer and the business ecosystem. The KPI framework proposes indicators for regulating contracts on three levels (resource, performance and utility level) and includes six categories of indicators: economic, technical, organisational, quality, safety and health, and relationship between actors.

Place, publisher, year, edition, pages
Springer, 2019. p. 301-310
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-79147DOI: 10.1007/978-3-319-95711-1_30Scopus ID: 2-s2.0-85056660422ISBN: 978-3-319-95710-4 (print)ISBN: 978-3-319-95711-1 (electronic)OAI: oai:DiVA.org:lnu-79147DiVA, id: diva2:1269405
Available from: 2018-12-10 Created: 2018-12-10 Last updated: 2019-08-27Bibliographically approved

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Kans, MirkaIngwald, Anders

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CiteExportLink to record
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  • apa
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