Decision support systems in maintenance : fusion of business data and physical data

Projekt:

JVTC

Sammanfattning:
Maintenance optimization is critical for enhancing the effectiveness of asset management system. Maintenance effectiveness depends on the quality,
timeliness, accuracy and completeness of information related to machine
degradation state, based on which decisions are made. With emergence
of intelligent sensors to measure and monitor the health state of the component and gradual implementation of information and communication technologies (lCT) in organizations conceptualization and implementation of e-maintenance is turning into a reality. While e-maintenance shows a lot of promise, seamless integration of ICT into the industrial environment remains a challenge. Computer Maintenance Management Systems (CMMS) are the core of traditional maintenance record-keeping practices and often facilitate the usage of textual descriptions of faults and actions performed on a vehicle. Recently developed Condition Monitoring Systems (CM) are capable of directly monitoring asset components
parameters; however, attempts to link observed CMMS events to CM sensor
measurements have been fairly limited in their approach and scalability.
In this article, we present our approach for addressing this predicament.
We argue that understanding the requirements and constraints in conjunction
- from maintenance and ICT perspectives - is necessary. We identify
the issues that need be addressed for achieving successful e-maintenance
providing a new theoretical process for integrating the two disparate
data types.

Författare: Aditya Parida ; Diego Galar ; Luis Berges
Utgivare: Condition Monitor
Utgivningsdatum: 2012-01
Diarienummer: TRV 2011/58769
ISSN: 0268-8050
Antal sidor: 6
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs