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<strong>AMMJ</strong> Strategic Maintenance Reporting 19<br />

• How smart is my maintenance effort?<br />

The division of work between PM and planned work vs. reactive work is a key measure of the effectiveness of your<br />

maintenance effort. Minimising reactive work and focussing on planned preventative work should be a key driver in<br />

your business. A graphical trend (bar) chart clearly shows the division of PM work, follow up work and planned work<br />

vs. reactive work in red. The clarity of this information was exceptionally well accepted by business managers. The<br />

decision of which metric to use (i.e. work order count, work order value or resource effort) will need to be discussed<br />

and locked down, and will ultimately depend on the type of business involved.<br />

Figure 3 clearly highlights the trend in planned vs. reactive work by using the colours blue (PM work), orange (Follow<br />

up work), green (planned) and red (reactive). The visual clarity of this report was very well accepted.<br />

• Equipment Husbandry<br />

Whatever maintenance regime is implemented a key driver in maintenance costs can be the “care factor” of the<br />

equipment users. Using the old adage “nothing can be improved without first measuring” we presented a very clear<br />

graphical trend report of monthly maintenance costs attributed to operator damage or neglect. Some businesses were<br />

able to effectively target this area and achieve real savings by incorporating this metric into business unit KPI’s.<br />

Figure 4 presents the monthly trend in maintenance costs attributed to operator damage. Again the results are shown<br />

in drill down detail to each individual site.<br />

• System Administration<br />

Figure 3 Maintenance Analysis Management Report (Bar) by Location<br />

Any CMMS needs to be well serviced (in terms of master data management, new assets etc) and the standard of data<br />

entered monitored both for quality and timeliness. The report set presented system administration data in 3 areas, all<br />

with rolling monthly trend graphs:<br />

• Missing or late meter readings<br />

• Costs attributed to cost centres instead of individual assets<br />

• Amount of unreceipted purchasing monthly<br />

Figure 5 shows the business trend in keeping up with the input of asset meter readings. Whilst the algorithm to<br />

calculate the raw data presented some opportunity for debate, the intent here is more around trend patterns.<br />

Vol 24 No 1

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