indresh

Pls send the ppt file at [email protected]
Thanks in advance
rgds

me as well at [email protected]
thanks
rgds

as the name suggest outliers are far and few. as suggested by the experts to remove even a single outlier you need to investigate as to how much effect it does have on the remaining data. i cant sight a rule of thum, it depends how large is your data and how many outliers you may safely remove post investigating causes (special causes only). a…[Read more]

Pls send the same in soft copy format at [email protected]
rgds
Indresh

have done a project in revenue enhancement by developing new measurement system in match box distribution
pls write to me with details on what kind of organization are you with and what are you looking at
my email id is [email protected]
rgds

yes and no both
yes : as a rigor, problem solving structured methodology, as a change management tool it will
no : six sigma as a rigor provides a linear way of thinking, creativity, innovation, breakthrough ideas often get generated by other methodologies. (mckinsey says MECE – quite similar to six sigma rigor, TRIZ, ASIT, USIT and the likes)…[Read more]

Hi,
SME’s only ? or any corporate would do
– Bharti Airtel Limited
– HDFC bank limited
– TATA Steel
– Reliance energy & petroleum
– IDEA cellular
– ITC Hotels
– Reliance infocomm is starting with six sigma initiative
– TATA teleservices already has a year ago
Hope this suffice
rgds
Indresh

Hi,
 
If i correctly understand, the problem is not employee attrition but how to prevent data going out to competitors.
As suggested by QC, you may look at code of conduct which are general guidelines, signed off by each employee on data security as their responsibility
However you may even drill down to find out who all departments maintain…[Read more]

Hi,
Management would be needing a solid business case to cut the shift timings as it will boil down to adding few more resources which comes at a cost.
If you can provide a detailed analysis, and validate that probability of an error by agent increases beyond 7.5 hrs, or call quality decreases, or AHT increases, or wrong registration increases…[Read more]

To further Sandor with example to give you more clarity
Y=f(x)
Use Anova when Y is dicrete and X is continuous data. If you wanna find if there is any difference that exist between time taken to deliver (continuous) between three different couriers (discrete)
Use regression when both Y and X are continuous. Read Sandors model 3 and 1. Example…[Read more]

Great detailing from Answer rate
Parallely figure out these quick ones
– most of the calls belong to which category – query, complaint or requests – this shall be industry specific, am sure such categorization is available for your industry as well. Can few of them be routed to self care options, which can be IVR, SMS based, Web Based solutions…[Read more]

Chi square

Chi square

Chi

hi amit,
 
The forum is meant for sharing and understanding concepts related to six sigma and related process improvement methodologies, and not for facilitating somebody clear some certification exam
rgds
indresh
and moreover if you can’t answer the questions mentioned, then its better to go through a basic six sigma GB training again.

certainly a big one !
anyways i have worked on the same in one of my assignments
you may like to get the various independent variables ready…..probably start with brainstorming
Turnover is dependent on = age on board, employee rating, his rating on esat survey, basic salary, number of days he was trained, his performance in last quarter,…[Read more]

A null hypothesis (H0) is a stated assumption that there is no difference in parameters (mean, variance, DPMO) for two or more populations.
Classic definition from this site itself
i hope this makes things clear
in cases where we wanna find out if there exist an relation between y and x , null would be no there does not hence less the p value…[Read more]

Yes we would like to proceed with normal data and null hypothesis shall be that the data is normal
So whats the issue, did’nt quite get what you mean by your statement
 

Always remember this
When P is high Null Should Fly
In normality test Null Hypothesis is that the data is normal
High p value we accept Null hypothesis
rgds

hi
my two cents on this
– get voice of all customers involved in both the processes, take two as separate ones, customers shall be management and workers etc
– get their expectations on these two processes and do a QFD to get the right CTQ’s
am sure once you have done this right management shall buy that in immediately
involve some of the key…[Read more]