turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Discussions
- :
- Comparing defectivity performance between two proc...

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 19, 2017 7:59 PM
(1250 views)

Hi All,

I am planning to evaluate a new process which is supposed have a better defectivity performance (semiconductor industry). The question that I have is lets say that my process failure is not repeatable during a certain runs of experiment. For example in my 100 wafers run, i have observed that the failure happens on the 20th and 50th wafer run. A repeat on another 100 wafers run the failure happen on the 10th, 31st and 70th wafers. In this situation how do I design my experiment in order to determine whether my new process does indeed improves the defectivity of my baseline process

Hope someone is able to help me on this

Rgrds

Irfan

8 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 20, 2017 1:12 AM
(1232 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 20, 2017 1:25 AM
(1224 views)

Are you able to direct me to the analysis option in JMP that is able to perform this cumulative probabillity?

Rgrds

Irfan

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 20, 2017 4:54 AM
(1214 views)

You can find the Kaplan-Meier reference in

Help==Statistics Index

Jim

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 20, 2017 7:07 AM
(1206 views)

Create, and open in JMP data file with columns (name):

Time: just a sequence of numbers from 1 to 100

Censor: with code 0 and 1 (failure "YES" – 0 (sic!), failure "NO" - 1)

Grouping: with code 1, 2 etc (comparison groups)

Then:

Analyze->Reliability and Survival->Survival

and activate (tick): "Plot Failure Instead of Survival"

Sorry for brevity (because of my weak English) :)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 21, 2017 12:11 AM
(1178 views)

Hi Med,

Here is the data that I have

Able to explain to me the explanation of the numbers shown from the analysis above

Rgrds

Irfan

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 21, 2017 11:44 AM
(1161 views)

a process that has better defectivity performance has a lower curve.

Also need to consider (but not fetishization) p-value. But all this applies

to the theory of statistics.

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 21, 2017 6:39 PM
(1138 views)

Hi Med,

Able to share with me what does the number stands for, is the alpha also set at 0.05?which means in this case we are not able to reject the null hypothesis that the two groups are the same?

Rgrds

Irfan

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Jun 22, 2017 12:26 AM
(1115 views)