Towards true dynamic decision making in maintenance

David Baglee, Adam Adgar, Erkki Jantunen, Aitor Arnaiz

Research output: Contribution to conferencePaperpeer-review

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The maintenance of machinery and assets in European industry has been shown to
account for a significant proportion of operating costs, however substantial savings are
possible through the use of more technologically advanced approaches. Modern industrial
production systems are experiencing ever increasing demands for improved machinery
reliability, efficiency, safety and environmental performance. Maintenance system
technology has progressed to some extent but complete solutions with the flexibility to
satisfy the demands of a wide range of users are still not widely utilised.
One current research project, DYNAMITE (Dynamic Decisions in Maintenance) intends
to address this problem by developing and applying a blend of leading-edge
communications and sensor technology, combined with state-of-the-art diagnostic and
prognostic techniques. The objective of the project is to deliver a prototype maintenance
system to enable the monitoring of machines and processes for predictive maintenance
and control. An infrastructure for mobile monitoring technology is to be developed along
with devices incorporating sensors and algorithms to support enhanced capability for
decision support systems.
A key strategy of this project involves the extensive use of stored and transmitted
electronic data in order to ensure availability fo up-to-date, accurate and detailed
information. This strategy provides great advantages for both human and machine-based
decision making capability. For instance the system aims to assist in the inspection and
maintenance process by identifying priority cases, collating and delivering detailed
documentation on maintenance procedures and also to plan and schedule these activities.
Several key aspects of the project will be identified and the methods and technologies
used to develop the maintenance infrastructures that allow such rapid, efficient, and cost effective
decisions to be made will be discussed.
Original languageEnglish
Publication statusPublished - 2008
Event62nd meeting of the Society for Machinery Failure Prevention Technology - Virginia Beach, United States
Duration: 6 May 20088 May 2008
Conference number: 62


Conference62nd meeting of the Society for Machinery Failure Prevention Technology
Abbreviated titleMFPT 62
Country/TerritoryUnited States
CityVirginia Beach
Internet address


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