provide substantial benefits is the driving out of inefficiencies in business processes. Through the capture, storage, manipulation, and display of historical transactional data, companies can take great leaps forward in the efficiency with which they execute maintenance programs. They can do this, for example, through ensuring that delays in executing work are captured, analyzed, and resolved, or by being able to display trends in performance and cost over time.
Part Two of the series Captured by Data.
The effectiveness of a maintenance task comes from how it manages failure modes, not from the level of efficiency that it is executed with. The original reliability-centered maintenance (RCM) studies revealed that many routine tasks could actually contribute to failure, or to lower cost-effectiveness, by having limited or no impact on the performance of the asset (in effect wasting the maintenance budget). Executing these tasks with greater efficiency would have either have no impact at all on effectiveness, or would possibly even magnify the effects of unsuitable tasks.
For example, after an RCM analyst had spent a lot of time working with a utility company in the UK, it became clear that the reported schedule compliance was not an accurate figure. Schedules were regularly coming in with 100 percent compliance, while the reality was that they were actually performing at around 25 percent.
After some investigation it turned out that the crafts people recognized that most of the regimes that were coming out of the system were either counterproductive, or not applicable at all. So they were fortunately omitted. Prior to installing the EAM system, they were working with job cards in separate systems; once the EAM went "live," these were collated and assigned to all similar assets regardless of operational context.
This is where RCM-style methodologies contribute to the modern EAM or computerized maintenance management system (CMMS) system. By providing the content that the system needs to manage, they are ensuring that the right job is being executed in the right way. This is common sense, and practitioners of RCM have been emphasizing this point for many years.
What is often not emphasized, however, is that having an effective maintenance program in place which is integrated with the EAM system ensures that future efforts of data capture are executed in a manner that supports the principles of responsible asset stewardship. The effect of building a data capture program on the back of an effective maintenance program is to reverse, over time, the ratio of hard data to human knowledge that is available for decision making.
Figure 1. Integration of EAM and reliability-centered maintenance
source
http://www.technologyevaluation.com/research/articles/asset-data-for-accurate-lifecycle-management-18686/
Part Two of the series Captured by Data.
The effectiveness of a maintenance task comes from how it manages failure modes, not from the level of efficiency that it is executed with. The original reliability-centered maintenance (RCM) studies revealed that many routine tasks could actually contribute to failure, or to lower cost-effectiveness, by having limited or no impact on the performance of the asset (in effect wasting the maintenance budget). Executing these tasks with greater efficiency would have either have no impact at all on effectiveness, or would possibly even magnify the effects of unsuitable tasks.
For example, after an RCM analyst had spent a lot of time working with a utility company in the UK, it became clear that the reported schedule compliance was not an accurate figure. Schedules were regularly coming in with 100 percent compliance, while the reality was that they were actually performing at around 25 percent.
After some investigation it turned out that the crafts people recognized that most of the regimes that were coming out of the system were either counterproductive, or not applicable at all. So they were fortunately omitted. Prior to installing the EAM system, they were working with job cards in separate systems; once the EAM went "live," these were collated and assigned to all similar assets regardless of operational context.
This is where RCM-style methodologies contribute to the modern EAM or computerized maintenance management system (CMMS) system. By providing the content that the system needs to manage, they are ensuring that the right job is being executed in the right way. This is common sense, and practitioners of RCM have been emphasizing this point for many years.
What is often not emphasized, however, is that having an effective maintenance program in place which is integrated with the EAM system ensures that future efforts of data capture are executed in a manner that supports the principles of responsible asset stewardship. The effect of building a data capture program on the back of an effective maintenance program is to reverse, over time, the ratio of hard data to human knowledge that is available for decision making.
Figure 1. Integration of EAM and reliability-centered maintenance
source
http://www.technologyevaluation.com/research/articles/asset-data-for-accurate-lifecycle-management-18686/
