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T h i rd l y, Pareto analysis of equipment downtime may miss<br />

identifying: (i) individual events having high associated downtime or<br />

(ii) frequently occurring failures that consume relatively little downtime<br />

yet cause frequent operational disturbances. An example of the form e r<br />

is the failure of the transmission in a mechanical mining truck. An<br />

example of the latter are repairs to the truck’s driving lights. Failures<br />

that frequently re-occur often have significant hidden costs. For<br />

example, if the truck has to re t u rn to the truck shop to have a light<br />

replaced, the time lost travelling to and from the shop may dramatically<br />

increase the opportunity costs associated with lost production.<br />

Fourthly, when there is a lot of data to analyse we commonly use<br />

data stratification or hierarchical decomposition techniques. A Pare t o<br />

histogram is pre p a red for downtime data grouped by major equipment<br />

14.0%<br />

12.0%<br />

10.0%<br />

8.0%<br />

6.0%<br />

4.0%<br />

2.0%<br />

0.0%<br />

Downtime Priorities, Jack-knife Diagrams, Business Cycle<br />

or functional failure type. More detailed Pareto graphs are prepared<br />

for the downtime associated with those components or functional<br />

f a i l u res judged to be the most significant contributors of downtime.<br />

T h e re are two potential problems with the use of stratified Pare t o<br />

analyses: (i) because hierarchical Pareto graphs are only pre p a re d<br />

for the significant contributors of system downtime, failure s<br />

associated with less significant components or functional failures will<br />

not be explored. It is possible that we may miss identifying a<br />

component, or failure mode that offers significant potential for<br />

reliability improvement. (ii) The same failure mode may appear in<br />

several of the lower level Pareto histograms. We may fail to identify<br />

or underestimate the relative importance of these common cause<br />

failure modes.<br />

1 2 11 3 10 7 12 8 5 15 6 9 4 17 14 16 13<br />

Failure Code<br />

Figure 1: Pareto hisogram of unplanned shovel electrical downtime<br />

Code Description Quantity Duration % Time % Cum.<br />

(min)<br />

1 Electrical inspections 30 1015 13.0 13.0<br />

2 Damaged feeder cable 15 785 10.1 23.1<br />

11 Motor over temperature 36 745 9.6 32.6<br />

3 Change of substation or shovel move 27 690 8.8 41.5<br />

10 Overload relay 23 685 8.8 50.3<br />

7 Auxiliary motors 13 600 7.7 58.0<br />

12 Earth faults 7 575 7.4 65.3<br />

8 Main motors 12 555 7.1 72.5<br />

5 Power cuts to substations 21 395 5.1 77.5<br />

15 Air compressor 8 355 4.6 82.1<br />

6 Rope limit protection 10 277 3.6 85.6<br />

9 Lighting system 26 240 3.1 88.7<br />

4 Coupling repairs or checks 15 225 2.9 91.6<br />

17 Over current faults 6 220 2.8 94.4<br />

14 Control system 7 165 2.1 96.5<br />

16 Operator controls 5 155 2.0 98.5<br />

13 Miscellaneous 9 115 1.5 100<br />

TOTAL 270 7797 100<br />

Table 1: Unplanned shovel electrical downtime.<br />

100.0%<br />

90.0%<br />

80.0%<br />

70.0%<br />

60.0%<br />

50.0%<br />

40.0%<br />

30.0%<br />

20.0%<br />

10.0%<br />

0.0%<br />

16

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