The Evolution from a Simple Planning Document to an Integrated Asset Management Plan henning-waugh
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Transportation Research Board (TRB) Conference Presentation April 2014 presented by Dr. Theuns Henning and Ross Waugh
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The Evolution from a Simple Planning Document to an Integrated Asset Management Plan henning-waugh
- 1. The Evolution from a Simple Planning Document to an Integrated Asset Management Plan Dr Theuns Henning, Ross Waugh TRB Conference, Miami April 2014
- 2. Introducing Dr Theuns Henning • Started work 1990, 24 years in 2014 • Civil Eng. Infrastructure Management • Responsible for post graduate teaching and research at the University; • Managing the national PMS implementation in NZ; • Experience in local and central government, contractors and consultants; • Asset groups include roads, water bridges and buildings; • Also working as advisor to the World Bank in Performance Based Contracting
- 3. Introducing Ross Waugh • Started work 1982, 32 years in 2014 • Civil Eng. Infrastructure Management • 16 years – working for Councils • 16 years – consulting • 70% of NZ Councils are clients • 85% of NZ population served • Worked across NZ, in Australia • Working for Govt. Tokelau, Pacific • Presented in NZ, Australia, USA, Finland • Input into national, international manuals • Input into NZ govt. inquiries
- 4. AM Progression 1996 – 2014 1996 2014 AM Mandated Multiple Legislative Changes, 4-5 cycles of updates Basic or Core AM More Advanced AM, ODM used Simple Asset Registers, Condition More sophisticated understanding of assets and asset condition Current service levels Some service level modelling Simple future demand understanding Better future demand understanding Some risk management More sophisticated risk management Simple financials and assumptions Scenario analysis, ODM, more understanding of assumption impact
- 5. 18 years - Overall Progression • More knowledge of assets • More knowledge of condition and failure modes • Better understanding of risks • More ODM analysis (but not used by all) • 15:70:15 – industry adoption spread
- 6. 18 Years – Still Gaps • Service Level trade-offs with budgets and risks • Demand Forecasting • Multiple scenario analysis • ODM analysis • Better understanding of preventative maintenance verses renewal trade-offs
- 8. Quality of Asset Management Quality of Asset Management Plan Howwellistheplan integratedwithbusiness
- 9. 18 Years – AMP Assessment Tools Service DescriptionofAssets LevelsofService ManagingDemand RiskManagement LifecycleDecision Making FinancialForecasts PlanningAssumptions andConfidenceLevels OutlineImprovement Programmes CouncilsCommitment Sustainability PlanningbyQualified Persons AMPFormat Roading Existing Status 40% 23% 27% 33% 15% 29% 15% 3% 22% 18% 3% 42% Appropriate Level 89% 85% 82% 88% 73% 86% 80% 80% 78% 86% 98% 98% With improvement items 40% 23% 27% 33% 14% 29% 15% 3% 22% 18% 3% 42% • Structured assessment methodology • Based on appropriate practice level • Transparent, Repeatable
- 10. 18 Years – ODM Tools • IDS dTIMS project – 16 year partnership between NZ public infrastructure engineers and Deighton, Canada • See Inframanage.com/blog for recent video on ODM • Achieving good analysis and results • The IDS dTIMS project has taken sustained effort
- 11. 18 Years - ODM Tools Results
- 12. Learning - Do the basics well • Asset Register • Condition Assessment • Asset Maintenance Program
- 13. Learning – Spiral of Understanding • AM doesn’t finish • Spiral of improved understanding and practice
- 14. Learning – Demand Forecasting • Rapidly Growing Cities Austin, Texas #1 2014 - Forbes
- 15. Learning – Demand Forecasting • Rapidly Declining Cities • Rapid changes in demand Cleveland, OH #1 Detroit, MI #2, 2014
- 16. Learning – Demand Forecasting • Agricultural Production • Getting goods to market • Changes in production • Changes in land use
- 17. Learning – Demand Forecasting • Multi-modes • Where are the mode changes?
- 18. Learning – Demand Forecasting Don’t use todays money to build roads for tomorrow based on yesterdays demand
- 19. Learning – Worst First vs. ODM Worst first response like fighting a wildfire Moral Hazard – rewards poor behaviour
- 20. Learning – Complexity & Engineers “Keep everything as simple as possible, but not simpler”, Albert Einstein
- 21. We are making progress 18 years into this journey, we are making progress, but still have a long way to travel
Notes de l'éditeur
- 15% of industry AM use at good level, using all appropriate tools – top of pack 70% industry – reasonable AM, but could do better, make better use of tools and analysis – middle of pack 15% industry – poor adoption of AM, dragging chain, invoke concern and regulation that affects all – bottom of the pack
- Issue developed during Road Maintenance Task Force asset management analysis Interconnectivity and trade-offs not well understood Work is only just beginning on improving this understanding
- Organisational culture of asset management is a huge issue How to embed asset management thinking, and asset management practices Relying on individuals carries longer term business risks ISO 55000 addresses this by focussing on the total asset management system
- Appropriate level of asset management practice for the authority is assessed AMP compliance is assessed based on structured process A risk prioritised asset management improvement program is developed from the results
- 370 major cities worldwide are shrinking http://www2.metrotimes.com/editorial/story.asp?id=5718 25% in the USA – the majority on the East Coast 59 Major US cities are shrinking
- Still experiencing worst first management after 18 years of AM Moral Hazard – rewards poor behaviour Reasons: Management attitudes Engineering staff attitudes Lack of engagement in AM practice Unwillingness to change People think they can get away with it
- Engineers are predisposed to complexity Your risk and asset management should not look like this board Black box models of incredible complexity that only you understand are of no use to anyone else Keep it simple, and keep the analysis to an appropriate level Models are only models – don’t forget about reality