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E-Mail Account
                                  Optimization



Project Leader:   Michael Madl, Systems Engineer


Start Date:       March 2002
                                               Master Black Belt: Steven Bonacorsi
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

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E Mail Optimization Six Sigma Case Study

  • 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