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Track 2 Session 5
9:10 to 10:10 a.m. Thursday March 27, 2008
Tools and Techniques for the Reliability
Engineer in Asset Management
Although reliability engineering techniques have been around for
many years, and simple techniques for calculating MTBF and
Availability are commonly used, the use of time-dependent data and
system (RAM) modelling are not so common in industrial maintenance.
The major reasons are that (i) the necessary data is often not
available and (ii) it is all too readily assumed that a high level
of math may be required.
This presentation introduces the tools and techniques to help asset
managers to more effectively manage their assets throughout the life
cycle. In particular, we show how reliability data analysis supports
an effective Reliability Centered Maintenance (RCM) study. RCM has
been widely adopted for over 15 years in industrial plants —
what
do the MTBF values that they use really mean? Good analysis requires
good data. Typically in product manufacturing they have excellent
test data but this is not the case in asset management. We show some
examples of the data problems preventing effective analysis.
Companies have spent big sums to implement sophisticated CMMS
systems with failure coding functions to manage their assets but the
data collected is often poor and rarely analysed effectively. We
will also discuss Root Cause Failure Analysis (RCFA), a key tool to
identify the root causes of failure, which is a prerequisite to
improving performance.
Key Words: Field Data Collection, CMMS, RCM, Optimizing
Maintenance, RCFA
David Thompson
Ramsoft Ltd
United Kingdom |
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