AV-07 Hw t Imprve Data Quality and Get Value Frm Yur CMMS Cecelia Adair Las Vegas Valley Water District
Purpse Hw t get mre frm yur maintenance management system Present a methdlgy t imprve data Demnstrate the benefits f imprving data Shw where imprved data can lead
Overview
Incentive t Manage Assets Reduce current expenses Plan asset life and cst fr Excessively lng-lived assets Expensive assets Replacement csts defer t the next generatin Anticipatin f future csts can allw cst effective financing strategies
Steps t Imprve Data Quality Smene has t want t knw mre Make it specific Make it relevant Create an initial gal 30% 2007 Reactive Wrk as a Percent f Ttal Wrk 27% 25% 20% 15% 10% 16% 23% 13% 18% 12% 12% 20% 17% 17% 10% 19% 11% 12% 17% 21% 13% 20% 5% 0% AVG % OF REACTIVE HOURS % OF REACTIVE TASKS
Review the Details 15% % Reactive f Ttal Wrk Using Pririty 10% 5% 25% 20% % Reactive f Ttal Wrk Using Wrk Type 0% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nv Dec 15% 10% 5% 0% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nv Dec
Review yur cdes
Learning Gained frm Tackling One Factr Data is k but nt great Use f cdes needs t imprve Pririty Wrk type Reactive maintenance is prbably 10% 17% Hw t think abut yur data and dig deeper
Steps t Imprve Data Quality Create a trend chart Chse a perid f time apprpriate t yur data Graph the data regularly Graphing creates authrity Visibility makes infrmatin imprtant
Steps t Imprve Data Quality Find hw and why data can be wrng D a gut check Find a way t crss check the data Use Excel pivt tables t explre the data Scan the detailed data in a cabinet
Further Steps t Imprve Data Quality Review yur cdes Define yur purpse fr each cde field Chse the cdes yu allw Cnsider using entity classificatin t filter yur cde list Train peple n what the cdes are fr and which t use Measure cde use cmpliance
Measure Cde Cmpliance 2008 1.5% 1.3% 2008 PERCENT OF ACTION TAKEN CODE ERRORS GOAL IS <.5% 1.30% 1.6% 2008 PERCENT OF REASON FOR FAILURE CODE ERRORS GOAL IS <.5% 1.60% 1.1% 0.9% 0.7% 0.5% 0.3% 0.1% 0.70% 0.14% 0.59% JUL AUG SEP OCT NOV DEC 1.1% 0.6% 0.1% 1.16% 0.81% 0.17% 0.48% 0.97% JUL AUG SEP OCT NOV DEC 0.5% 0.4% 0.3% 0.2% 0.1% 0.25% 2008 PERCENT OF WORK TYPE TASK CODE ERRORS GOAL IS <.5% 0.14% 0.44% JUL AUG SEP OCT NOV DEC
Measure Cde Cmpliance 2012 PERCENT OF ACTION TAKEN CODE ERRORS GOAL IS <.5% PERCENT OF REASON FOR FAILURE CODE ERRORS GOAL IS <.5% 1.6% 1.60% 1.1% 1.10% 0.6% 0.1% 0.45% 0.16% 0.60% 0.10% 0.13% JAN FEB MAR APR MAY JUN 0.39% JUL AUG SEP OCT NOV DEC PERCENT OF WORK TYPE TASK CODE ERRORS GOAL IS <.5% 0.9% 0.7% 0.71% 0.5% 0.3% 0.1% 0.27% 0.16% 0.15%
One Mre Step t Imprve Data Quality Review yur hierarchy Check fr cnsistent structure Check fr cnsistent cdes Entity type Entity classificatin
Results 300 2004 PRIORITY 1 CYCLE TIME TREND, DAYS TO CLOSE 2010 PRIORITY 1 CYCLE TIME TREND GOAL <4 DAYS 200 100 0 200 100 0 209 142 7 10 18 10 24 7 7 8 12 37 2005 PRIORITY 1 CYCLE TIME TREND GOAL <7 DAYS 161 116 107 59 31 34 1 3 1 1 1 2 6 4 2 0 4 2 0 4 2 2 2 2 1 1 1 1 1 0 2011 PRIORITY 1 CYCLE TIME TREND GOAL <4 DAYS 2 2 2 1 1 1 1 1 1 0 0 0 5 40 20 0 2006 PRIORITY 1 CYCLE TIME TREND GOAL <7 DAYS 15 1 1 1 1 1 1 2 1 2 1 29 4 2 0 2012 PRIORITY 1 CYCLE TIME TREND GOAL <4 DAYS 1 1 1 1 1 1 1 1 1 1 2 1
Results 2005 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 100% 2010 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 0.96 0.91 95% 0.86 100% 2006 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 90% 100% 2011 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 95% 95% 90% 100% JAN FEB MARAPR MAY JUN JUL AUG SEP OCTNOVDEC 2007 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 90% 100% 2012 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 95% 95% 90% JAN FEB MARAPR MAY JUN JUL AUG SEP OCTNOVDEC 90%
Results 100% 2009 Vibratin Prgram Cmpletin Rate 100% 2011 Vibratin Prgram Cmpletin Rate 90% 90% 80% 80% 70% 70% 60% 60% 50% 50% 40% JAN FEB MARAPR MAY JUN JUL AUG SEP OCTNOVDEC 40% 100% 2010 Vibratin Prgram Cmpletin Rate 100% 2012 Vibratin Prgram Cmpletin Rate 90% 90% 80% 80% 70% 70% 60% 60% 50% 50% 40% JAN FEB MARAPR MAY JUN JUL AUG SEP OCTNOVDEC 40%
Vibratin Cnditin Assessment Add t yur prcesses t knw mre Peple are nw thinking mre abut hw t use the system Result f taking vibratin readings is entity infrmatin Engineers cntribute data
Well Availability
Highest Cst Pump Statins
Cpper Service Line Failure Rate
Life Cycle Rehabilitatin Millins $90 $80 $70 $60 $50 $40 $30 $20 $10 $0 Distributin System PS & Reservirs Services Wells Valves & Vaults SCADA Large Meters Backflws Facilities Small Meters
Extra Benefits f Wanting t Knw Mre Measure Yur Business Emplyees all understand mre Imprve Data Wrk is Better Dcumented Achieve Asset Management Synergy t Cntinue t Imprve
Summary