Reliability study of warranty failures weibull analysis tool give the predication of failure in future with maximum and minimum rate

1. Weibull Analysis
By
ABHIJIT SHINDE
7875101121

2. Agenda
1.Introduction of Weibull analysis
2. Distribution Curve
3. Reliability Concept
4. Warranty Data Analysis Through MINITAB

3. The weibull distribution is by far the worlds most popular
Statistical model for the life
data .It is also used in many other application
like weather Forecasting .
Why weibull -
Question that can be answered-
1.What I the expected life of the product
2.How many failures are we expecting in next period of the time
3.How much is it going to cost us to deal with failures
4.Can we make it more cost effective

4. Normal distribution curve
1.A bell shaped curve that is symmetric about mean.
2.The normal distribution is the most common statistical distribution .
3.The mean and the standard deviation are the two
parameter that define the normal
distribution

5. Concept of Reliability, Maintainability &
Availability
Reliability – The probability that an item can perform a required function under
Given condition for a given time interval
Maintainability – The ability of an item under given condition of use ,to be
Retained in or restored to a state in which it can perform a required
Function when maintenance performed under given condition and using
Stated procedure and resources.
Availability – The ability of an item to be in a state to perform a required
Function under given conditions at a given instant of time or a given interval .
Assuming that the required external resources are provided .

6. 4. Warranty Data Analysis Through MINITAB
Ship Month-1 Month-2 Month-3 Month-4 Month-5 Month-6 Month-7 Month-8 Month-9
Month-
10
Month-
11
Month-
12
1000 0 0 0 1 0 1 0 0 0 0 1 0
1000 0 0 0 1 1 0 0 0 0 1 0
1000 0 0 0 1 1 0 0 0 0 0
1000 0 0 0 0 0 0 0 1 0
1000 0 0 0 0 0 0 1 0
1000 0 0 0 0 0 0 1
1000 0 0 0 1 0 1
1000 0 0 0 0 0
1000 0 0 0 0
1000 0 1 0
1000 0 0
1000 0

8. Stat
Reliability
Warranty Analysis
Pre process data

9. Enter the
ship or
production
quantity
Select the
months

10. Output

11. 2 stage

12. Stat
Reliability
Warranty Analysis
Warranty Predication

13. Enter the
start time
,end time
and the
frequency
by clicking
Two times
In data box

14. Click on
predicatio
n

15. Enter The time period
Enter the production wrt
time period
Enter the confidence
level 95 %
Click on ok button

16. Click on ok button

17. Final Output

19. Inferences

20. Inferences

21. Thank You……
abhijit.shinde728@gmail.com