Based on following given information and data, assumed a product’s MTBF=1500 hrs, and which experienced three down activities, please calculate following figures, and state which group people ( Such as passenger, aircraft designer and manufacturer, Airliner etc) who are concerning about them in management.
Time required (hrs) |
Down No. 1 |
Down No. 2 |
Down No. 3 |
Corrective repair |
28 |
130 |
26 |
Prevent Maintenance |
63 |
118 |
15 |
Administration Delay Time |
19 |
28 |
19 |
Logistic Delay Time |
240 |
410 |
340 |
The Downtime table has been calculated below using the data provided
Time | Down 1 | Down 2 | Down 3 | Total |
Corrective Repair | 28 | 130 | 26 | 184 |
Preventive Maintenance | 63 | 118 | 15 | 196 |
Admin Delay Time | 19 | 28 | 19 | 66 |
Logistics Delay Time | 240 | 410 | 340 | 990 |
Total Inherent Downtime | 91 | 248 | 41 | 380 |
Total Actual Downtime | 350 | 686 | 400 | 1436 |
The total inherent downtime is the total of Corrective Repair and Preventive Maintenance. The total actual downtime for each occasion is the total of inherent downtimes and the delays.
Hence Mean downtime = (350 + 686 + 400)/3 = 478 hours
Mean Inherent Downtime = (91 + 248 + 41)/3 = 127 hours. Inherent Availability = 1-127/1500 where 1500 is the mean time between failures or MTBF given. = 91.6%
Achieved Availability = 1 - (Mean Actual Downtime/MTBF) = 1 - 478/1500 = 68%
We see that while the inherent availability is 92% it goes down to 68% in actual terms due to the administration and logistical delays. The operations team would need to prepare better to manage downtimes and turning around after that.
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