Wagh

Hi Nancy,
Excuse the ingnorance, but could you please tell me what a ET nurse is. We have been doing work on pressure ulcers with pretty good results.

Could you please tell me what your incidence and prevalence numbers were. and also the size of the hospital where this study was conducted( number of beds) Also what kind of mattresses do you use for Prevention or management?

Hi Samir,
I feel its more sensible if u base u’r organisation’s 6 sigma upgradation on no. of projects than on belts.
I mean instead of promoting a WB to YB just for the sake of employee satisfaction, it is definitly better to promote a GB to BB after a certain no. of projects say 10-15. 
Anyways this is only my view from my experience, hope…[Read more]

NO!… it is ‘Clean’ without “C”  

hi dave…we hv quality circle here in our company

Thanks for u’r needful advice. I realize it’s not as easy, i’ll need sometime to understand the complete process oncemore before i can even officially initialize the whole project.
started with selecting a product group…since its a high mix-low volume scenario…getting track of the machine details (%uptime) is going to be the toughest
i’ll…[Read more]

Hi T
Tried few case studies from book ‘learning to see’ seems simple…but the fact remains that simple things are difficult to implement!
any source for more case studies?…i’ll settle with books & inet than for official training…i’m feeling more comfortable now

Hi forum-ites,
First of all thank you Senthil…’Learning to see’ by Rothers & Shook ‘shook’ me with its simple & illustrative matter, it really is an excellent source i must say…to start with especially,
thanks for u’r msg srinivas, u can assume that i have a ‘little bit’ of theoretical knowledge on my subject…i know its a virtuous sea o…[Read more]

Please explain and let me know the calculations of six sigma.Also, please send me the classic exalmples where 6 sigma concept succeeded and failed if any cases

Hi Venkat
What you can do is ,There is certain information which is easy to search while certain which is difficult to search,so segregate the information depending on the level of difficulty and set service level agreements for both kind of informations.like for easy information it can be 1 day while for difficult it can be 2 or more depending…[Read more]

1. Thanks DD. It now seems more logical to have GRR =  ( 6*sd ) / Tolerance. Awaiting yr other clarification as discussed this evening.
2. From Stan’s post i understand that  99 %  is just a convention- thanks for the same
3. Stan – as for a 9 month old post I thought the answer to the question raised by the previous person was not complete whi…[Read more]

Bee-
1. Why leave 0.5 % on either side ?
2. Why not cover 99.73 % which corresponds to 3 + 3 = 6 std. deviations ?
Awaiting further clarification.
prasad
 

Daer Sander,
Pls mail me a copy of the Manual to [email protected]
Regards,
prasad
 

Gabriel
 In my understanding  u r right. They r not the same.
Situation :   p value is > 0.05 means…
1. u r < 95 % sure if u reject the null
2. u r > 5 % sure if u do not reject the null
3. u r  > 5 % sure if u accept the null
4. u r < 95 % sure if u accept the alternate hypo
In case the situation demands a 90 % confidence level then…[Read more]

Good day Mike,
Please help me …. I have a similar problem.
Its a bit long but pls bear with me.
Let me explain with a little background info …
a) An assembly line consisting of say 23 operations ( steps ) . The standard minute value (smv )for each step ( at 100 % efficiency ) is between 1 to 2.5 minutes. A complement of 50 operators is…[Read more]

Hi Gabriel,
Bingo ! Pls accept my sincere thanks for your explanation.
1. Your guess abt accept /reject criteria was correct.
2. Your final comment … lot size is not known
lot size is 151 to 280 ( I had mentioned it in my posting ). At 1.5 AQL the chance of defective pieces in the lot is 0.015. np is 0.015*32=0.48
a) random sampling from…[Read more]

Hi rams,
Here’s my specific problem.
1. 1.5 AQL
2. Lot size 151 to 280
3. Sample size is 32 ( Normal inspection )
4. From Table 5A of ISO 2859-1 : 1999  I can infer that the Producer’s risk ( probability that good pices are rejected ) is 8.42 % by Poisson and 8.30 % by Binommial distrn.
 5. Can you pls guide me as to exactly how these figu…[Read more]

Hi Anton,
             pls refer ISO 2859 – 1 : 1999 . This standard contains AQL sampling charts for AQL 2.5 & 4.
AQL sampling is the same whether garments or any other product.
Hope that was useful.
 
prasad
 

Hi D,
1. R bar / d2 is a population std dev calculated from rational subgroups whereas the excel one is a sample std dev.got for data which is random.
 So in my opinion they are diff. and can’t be used in place of one another.
pls chk it out & post for the same data
2. Individual MR chart – don’t know ?
Regds,
prasad

Hi Erik,
Cud u pls share the Excel template . my email is [email protected]