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1. E-Mail Account
Optimization
Project Leader: Michael Madl, Systems Engineer
Start Date: March 2002
Master Black Belt: Steven Bonacorsi
2. Six Sigma in Action
E-Mail Account Optimization
Customer Profile – 1400 seat financial service company
Business Problem & Impact P ro ccee s sCC a pa bility Anas is is rfo r ta l taa y sa y s
P ro s s a pa bility Ana ly ly s fo To To D l D
Process Capability – Before
E-mail accounts residing on the client’s production servers
US L L
US
which their email vendor charges on a per accountS basis.sDDaThe0
U UL L
S
P roroe e s
P c cs a ta
ta
55 .00 0 0
.0 0 0 ST
LT
client was incurring charges from their e-mail vendor for 1160 ****
T aTa rgte t
rg e
LSL L
LS
unused accounts, resulting in charges of $3,480 pernmmonth.1.6 334411
Me a a n
Me
S a m p lele N
Sa p N
11 .6
1
82
82
S tDtDv (S T )
S e e v (S T) 00 .3 61 1 8
.3 6 1 1 8
Measure & Analyze S tDtDv (L(L )
S e e v T T) 66 .6 62 1 7
.6 6 2 1 7
Data Collection: After a one time cleanup of the 1160tia(S(S T)CCaappaabbility**
P o te tetia l l T )
Po n n
Cp p
C
ility
accounts, the data still showed the average time toP Ueliminate .1 2*2*
C C PU
C PL L
CP
-6 .1
-6
the e-mail account for exiting employees was 11.6 pCkp km
C
Cpm
days
Cp
-6 .1 2
-6 .1 2
*
*
-10
-1 0 00 10 1 0 20 20 30 30
Root Causes: Variation in the processes used to eliminate P ro c e s s C a p a b ility exptente dlyesP e rfofo ea nTeo taxp eDtea eLcTsPde L Trmearfo e a
A c a S is n c r c E l c xp y te rfo P n c rm
O veve ra ll (L T) C a p a bility
O ra ll (L T ) C a p a b ility O b ssee rve dPP e rfo rm n c ec e
O b rve d e rfo rm a a n E xp c e d S T P Trfo rm a rm
E E d
accounts, a web form which client managers foundP pto be too **
Pp P P M < LL S L
PPM < SL Process Capability – After
* * P PP P M < L S L
M < LS L * * P P M P P S L< L S L
< LM *
PPU U
PP -0 .3 3
-0 .3 3 P P M > U SS L
PPM > U L 9 3 9 0 2 4 .3 9 9
9 3 9 0 2 4 .3 P PP P M > L S L1 0 0 1 0 0 0 .0 0 0 .0 0
M > USU 0 00 0 P P M P P M L U S8 4 0 3 2 8 4 0 3 2
> US > L 4 .7 0
complex, vendor case processing time and reworkPPloops Dwithin
P L P ro c e s s a ta
PL *
* P P M Too ta l
P P M T ta l 9 3 9 0 2 4 .3 9 9
9 3 9 0 2 4 .3 P PP P M ta l ta l 1 0 0 1 0 0 0 .0 0 0 .0 0
M To T o 0 00 0 UP PL P Pta l T o ta l8 4 0 3 2 8 4 0 3 2
S M To M 4 .7 0
P p kp k
P -0 .3 3
-0 .3 3
HR-owned process steps were contributing to longrgcycle times
USL
Ta e t
5 .0 0 0 0 0
*
LSL *
Improve & Control - Streamlined process from 12 to 7 Me a n
S a m p le N
3 .4 2 1 0 5
19
steps. Created one centralized DB to minimize errors and S tD e v (S T )
S tD e v (L T )
0 .3 9 4 0 1 1
0 .7 7 9 2 7 6
delays in data transfers. Worked with the vendor to create a
new web interface resulting in a reduced cycle time nfor vendor
P o te tia l (S T ) C a p a b ility
Cp *
CPU 1 .3 4
steps to one day. Improved average time to 3.4 days from 11.6
CPL *
Cpk 1 .3 4
Results/Benefits - Annualized savings realized by the Cpm *
1 2 3 4 5 6
client to date are $42K, and additional savings may ra ll (L T ) C a p a b ility
O ve exist O b s e rve d P e rfo rm a n c e E xp e c te d S T P e rfo rm a n c e E xp e c te d L T P e rfo rm a n c
based on the future employee exit rate Pp
PPU 0 .6 8
* PPM < LSL
PPM > USL
*
0 .0 0
PPM < LSL
PPM > USL 3 0 .7 0
* PPM < LSL
PPM > USL 2 1 3 7 3 .6
PPL * P P M T o ta l 0 .0 0 P P M T o ta l 3 0 .7 0 P P M T o ta l 2 1 3 7 3 .6
Ppk 0 .6 8
Annual savings to the client of US$42K