Shree Phadnis

Dear Sanjay ,
Pls contact me at [email protected]
 

Dear Tony,
If the data you posted is collected in time series and is with subgroup of 5, just go ahead with X bar R chart to understand the process special causes and forget about the normal stuff as for a subgroup of 5 the central limit theorem would take care of the non normal issue.More ever if you are not making a control chart how can you…[Read more]

Dear Sander pls mail me the manual at [email protected]

Dear Vidyut,
Thanks a lot for the input.I want to share an important thing .In one of my consulting assignments I actually stopped the prctice that was used of dart charts in the manufacturing process primarily because it provides no information on understanding variation, which is paramount in anderstanding any process.There also exists a…[Read more]

pls contact me with details, If possible send drawing with current 15-30 readings on all the critical dimensions.I will help you with the tolerancing.my mail id is [email protected]

Dear Sridhar,
I tend to agree with Bob comments.However if you cannot have rational subgroups then contemplate using EWMA Chart.This chart is robust to the normality assumption.
Shree Phadnis

Dear Venkat,
While your calculations are correct, I would like to draw your attention to application of a P chart or a U chart which are more powerful then hypothesis test as an Hypothesis is a post martem while a control chart would be a analytic type of study.I would like to take you the comment made by Dr Deming about Chisquare testing and…[Read more]

KPMG in India does Training and Certifications for Black Belts.
 
Shree Phadnis

Dear Mike,
Thanks a lot for your insight.I am fully with you on this issue.
 
Shree Phadnis

To all,A lot of people keep on wondering the reason for the 1.5 Sigma shift and debate it time to time.My personal opinion on the reason for this 1.5 sigma is primarily driven from the fact that understanding variation is the key to success.To understand the variation the most commonly used tools are control charts.While control charts are…[Read more]

Dear PS.,
I do not intend to use this forum as a marketing tool, but to answer you KPMG in India does offer comprehensive Black Belt courses.Also I would like to know that if you have done BB training , How many days was the training, What topics were extensively covered and what are you looking at by saying advanced Statistical tools.An…[Read more]

Dear Aries,
You will find plenty of confusing guidance on this issue.To enable you to understand let us define Long Term and Short term
1. Long term variation of a process is variation estimated of a process using sampling conditions such that the process has been able to exibit both type of variation (Special Cause and common cause).Typically…[Read more]

Andy ,
I agree with Bob and Andy however in real life situations I prefer to use the following method which is based on the poissons distribution.The calculations are much easier to do.All you have to do is at each process step keep track of the defects and the total units produced.Calculate the DPU at each stage. Calculate the thoughput yield…[Read more]

There was an excellent article in Quality Progress in some last years issue dealing with similarities in QS9000 Six Sigma and CQE.
 
Shree Phadnis

Dear Joanne,
When the manaufacturing sequence is known , you can have the data collected in Sub Groups or no subgroups.In either case depending on how the data is collected you can estimate the population standard deveation from the sub groups or the Range and use R bar/ d2  or Sbar/C4 depending on the no of subgroups for the estimation of…[Read more]

Dear Friends,
I am attaching a PDF file of the entire Paper helicopter experiment.I am e mailing the same to isix sigma for the benifit of all.
 
Shree Phadnis

Download: Teaching Design of Experiment (DOE) – Helicopter Example
Viewing Tip: Usually, you can click on a link to view the document — it may open within your browser using the…[Read more]

Dear Mike,
Use Z charts.
Shree Phadnis