AV-07 How to Improve Data Quality and Get Value From Your CMMS. Cecelia Adair Las Vegas Valley Water District

Transcription

1 AV-07 Hw t Imprve Data Quality and Get Value Frm Yur CMMS Cecelia Adair Las Vegas Valley Water District

2 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

3 Overview

4 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

5 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

6 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

7 Review yur cdes

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9 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

10 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

11 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

12 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

13 Measure Cde Cmpliance % 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

14 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%

15 One Mre Step t Imprve Data Quality Review yur hierarchy Check fr cnsistent structure Check fr cnsistent cdes Entity type Entity classificatin

16 Results PRIORITY 1 CYCLE TIME TREND, DAYS TO CLOSE 2010 PRIORITY 1 CYCLE TIME TREND GOAL <4 DAYS PRIORITY 1 CYCLE TIME TREND GOAL <7 DAYS PRIORITY 1 CYCLE TIME TREND GOAL <4 DAYS PRIORITY 1 CYCLE TIME TREND GOAL <7 DAYS PRIORITY 1 CYCLE TIME TREND GOAL <4 DAYS

17 Results 2005 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% 100% 2010 % OF CLOSED WOs WITH TIME CHARGED GOAL IS 98% % % 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%

18 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%

19 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

20 Well Availability

21 Highest Cst Pump Statins

22 Cpper Service Line Failure Rate

23 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

24 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

25 Summary