Towards true dynamic decision making in maintenance

David Baglee, Adam Adgar, Erkki Jantunen, Aitor Arnaiz

Research output: Contribution to conferencePaperResearchpeer-review

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Abstract

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
http://www.mfpt.org/Proceedings.htm

Conference

Conference62nd meeting of the Society for Machinery Failure Prevention Technology
Abbreviated titleMFPT 62
CountryUnited States
CityVirginia Beach
Period6/05/088/05/08
Internet address

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Decision making
Monitoring
Sensors
Operating costs
Machinery
Inspection
Availability
Costs
Industry

Cite this

Baglee, D., Adgar, A., Jantunen, E., & Arnaiz, A. (2008). Towards true dynamic decision making in maintenance. Paper presented at 62nd meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, United States.
Baglee, David ; Adgar, Adam ; Jantunen, Erkki ; Arnaiz, Aitor. / Towards true dynamic decision making in maintenance. Paper presented at 62nd meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, United States.
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Baglee, D, Adgar, A, Jantunen, E & Arnaiz, A 2008, 'Towards true dynamic decision making in maintenance' Paper presented at 62nd meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, United States, 6/05/08 - 8/05/08, .

Towards true dynamic decision making in maintenance. / Baglee, David; Adgar, Adam; Jantunen, Erkki; Arnaiz, Aitor.

2008. Paper presented at 62nd meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, United States.

Research output: Contribution to conferencePaperResearchpeer-review

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AU - Baglee, David

AU - Adgar, Adam

AU - Jantunen, Erkki

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N2 - The maintenance of machinery and assets in European industry has been shown toaccount for a significant proportion of operating costs, however substantial savings arepossible through the use of more technologically advanced approaches. Modern industrialproduction systems are experiencing ever increasing demands for improved machineryreliability, efficiency, safety and environmental performance. Maintenance systemtechnology has progressed to some extent but complete solutions with the flexibility tosatisfy the demands of a wide range of users are still not widely utilised.One current research project, DYNAMITE (Dynamic Decisions in Maintenance) intendsto address this problem by developing and applying a blend of leading-edgecommunications and sensor technology, combined with state-of-the-art diagnostic andprognostic techniques. The objective of the project is to deliver a prototype maintenancesystem to enable the monitoring of machines and processes for predictive maintenanceand control. An infrastructure for mobile monitoring technology is to be developed alongwith devices incorporating sensors and algorithms to support enhanced capability fordecision support systems.A key strategy of this project involves the extensive use of stored and transmittedelectronic data in order to ensure availability fo up-to-date, accurate and detailedinformation. This strategy provides great advantages for both human and machine-baseddecision making capability. For instance the system aims to assist in the inspection andmaintenance process by identifying priority cases, collating and delivering detaileddocumentation on maintenance procedures and also to plan and schedule these activities.Several key aspects of the project will be identified and the methods and technologiesused to develop the maintenance infrastructures that allow such rapid, efficient, and cost effectivedecisions to be made will be discussed.

AB - The maintenance of machinery and assets in European industry has been shown toaccount for a significant proportion of operating costs, however substantial savings arepossible through the use of more technologically advanced approaches. Modern industrialproduction systems are experiencing ever increasing demands for improved machineryreliability, efficiency, safety and environmental performance. Maintenance systemtechnology has progressed to some extent but complete solutions with the flexibility tosatisfy the demands of a wide range of users are still not widely utilised.One current research project, DYNAMITE (Dynamic Decisions in Maintenance) intendsto address this problem by developing and applying a blend of leading-edgecommunications and sensor technology, combined with state-of-the-art diagnostic andprognostic techniques. The objective of the project is to deliver a prototype maintenancesystem to enable the monitoring of machines and processes for predictive maintenanceand control. An infrastructure for mobile monitoring technology is to be developed alongwith devices incorporating sensors and algorithms to support enhanced capability fordecision support systems.A key strategy of this project involves the extensive use of stored and transmittedelectronic data in order to ensure availability fo up-to-date, accurate and detailedinformation. This strategy provides great advantages for both human and machine-baseddecision making capability. For instance the system aims to assist in the inspection andmaintenance process by identifying priority cases, collating and delivering detaileddocumentation on maintenance procedures and also to plan and schedule these activities.Several key aspects of the project will be identified and the methods and technologiesused to develop the maintenance infrastructures that allow such rapid, efficient, and cost effectivedecisions to be made will be discussed.

M3 - Paper

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Baglee D, Adgar A, Jantunen E, Arnaiz A. Towards true dynamic decision making in maintenance. 2008. Paper presented at 62nd meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, United States.