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Can anyone guide me how to calculate MTBF, MTTR - (Repair Metrics) - from a running datset as under :-
Solved! Go to Solution.
Hi @inderz
Here are some ideas on how to calculate these metrics, based on my interpretation. Take these as suggestions that may need to be adapted 🙂
Here is my sample pbix file.
First of all, some Googling would suggest those two abbreviations stand for:
Hopefully that's correct.
In the below I'm going to call your table Repairs, and also assume that all columns in your example are present, except Days for Repair which can be calculated.
Mean Time To Repair = AVERAGEX ( Repairs, 1 * ( Repairs[Date Out] - Repairs[Date In] ) )The multiplication by 1 is needed to force a number to be returned, rather than a date.
Mean Time Between Failures = AVERAGEX ( Repairs, VAR CurrentDateIn = Repairs[Date In] VAR CurrentSNo = Repairs[S No] VAR PreviousDateOut = CALCULATE ( MAX ( Repairs[Date Out] ), ALLEXCEPT ( Repairs, Repairs[Machine ID] ), Repairs[Date Out] <= CurrentDateIn, Repairs[S No] <> CurrentSNoMTBF will be blank where no previous failure existed for a particular machine, and only rows where it is nonblank will be included in the average.
// If [S No] is increasing with time, then the <> could be changed to <
// This might be safer, in case you ever have two repairs starting/ending
// on the same day for one machine. ) RETURN IF ( NOT ( ISBLANK ( PreviousDateOut ) ), 1 * ( CurrentDateIn - PreviousDateOut ) ) )
The output looks like this:
Anyway, hopefully this is an indication of how you could calculate this, even if I have mis-interpreted some conventions of these metrics.
Regards,
Owen
Owen....that is just what I needed !
Thank you ever so much for being a life-saver !
Will go through and apply the same to my dataset and revert in case I need some help.
Cheers
Inder
Hi
I am trying to calculate the MTTR using this formula
A | 5 |
B | 6 |
C | 0 |
C | 4 |
D | 5 |
A | 6 |
B | 4 |
R | 2 |
R | 5 |
R | 4 |
R | 7 |
Please what does S No mean in this table as i am trying to use the solution provided you
Hi @inderz
Here are some ideas on how to calculate these metrics, based on my interpretation. Take these as suggestions that may need to be adapted 🙂
Here is my sample pbix file.
First of all, some Googling would suggest those two abbreviations stand for:
Hopefully that's correct.
In the below I'm going to call your table Repairs, and also assume that all columns in your example are present, except Days for Repair which can be calculated.
Mean Time To Repair = AVERAGEX ( Repairs, 1 * ( Repairs[Date Out] - Repairs[Date In] ) )The multiplication by 1 is needed to force a number to be returned, rather than a date.
Mean Time Between Failures = AVERAGEX ( Repairs, VAR CurrentDateIn = Repairs[Date In] VAR CurrentSNo = Repairs[S No] VAR PreviousDateOut = CALCULATE ( MAX ( Repairs[Date Out] ), ALLEXCEPT ( Repairs, Repairs[Machine ID] ), Repairs[Date Out] <= CurrentDateIn, Repairs[S No] <> CurrentSNoMTBF will be blank where no previous failure existed for a particular machine, and only rows where it is nonblank will be included in the average.
// If [S No] is increasing with time, then the <> could be changed to <
// This might be safer, in case you ever have two repairs starting/ending
// on the same day for one machine. ) RETURN IF ( NOT ( ISBLANK ( PreviousDateOut ) ), 1 * ( CurrentDateIn - PreviousDateOut ) ) )
The output looks like this:
Anyway, hopefully this is an indication of how you could calculate this, even if I have mis-interpreted some conventions of these metrics.
Regards,
Owen
Could you explain what "S no" stands for? I dont get also how you can have, at the same machine, another fail meawhile you havent fixed a previous fail.
Thanks,
Erick
Owen....that is just what I needed !
Thank you ever so much for being a life-saver !
Will go through and apply the same to my dataset and revert in case I need some help.
Cheers
Inder
Hey @OwenAuger ,
i´m hopefull you can help me with my actual issue. I tried to get your code in my table to calculate the MTBF. But it results the same Value in all rows.
I can´t find the source of this incorrect output.
Anyone can help ? 🙂
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