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Six Sigma Project Software Industry Kathryn Barbe
Identification  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],D Define
Six Sigma DMAIC Project Presentation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],DEFINE Problem Statement It has been observed that the rate of Open Tickets at the end of each week on an average is around 12-13.  This is happening over last few weeks and as a result of this no open tickets are piling up. Though till date SLAs are not impacted; but this piling up of tickets on a weekly basis might impact SLA in the long run any time and may lead to customer dissatisfaction.
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],DEFINE
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],DEFINE
[object Object],[object Object],DEFINE
[object Object],[object Object],[object Object],[object Object],MEASURE
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MEASURE
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],MEASURE
[object Object],[object Object],[object Object],ANALYZE
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ANALYZE
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],IMPROVE
[object Object],[object Object],[object Object],IMPROVE
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],CONTROL
CONTROL Before implementation of project; number of open tickets were 12 (avg per week); current open number of tickets 7 (avg per week); so we have reduced count by 5. Hence we anticipate savings of 10 hrs per week (2 hrs for each ticket – This is based on our exp in project of time taken per ticket). This would due to reduction analysis time because of documentation / guidelines, better project tracking, better employee productivity and less time spent on user follow-up.  Time saved 10 hrs per week. This has been extrapolated to 40 hrs for a month.  Efforts saved 40 hrs per month. Billability rate $20 per hr. So net savings per month  40*20= $800  which is $ 9600 p.a.  Net Savings
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SUMMARY
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SUMMARY
[object Object],[object Object],[object Object],SUMMARY

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Kathryn barbe abc inc.

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  • 16. CONTROL Before implementation of project; number of open tickets were 12 (avg per week); current open number of tickets 7 (avg per week); so we have reduced count by 5. Hence we anticipate savings of 10 hrs per week (2 hrs for each ticket – This is based on our exp in project of time taken per ticket). This would due to reduction analysis time because of documentation / guidelines, better project tracking, better employee productivity and less time spent on user follow-up. Time saved 10 hrs per week. This has been extrapolated to 40 hrs for a month. Efforts saved 40 hrs per month. Billability rate $20 per hr. So net savings per month 40*20= $800 which is $ 9600 p.a. Net Savings
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