1. dTIMS in Western Australia
Paul O’Docherty – Senior Asset Management Consultant, Talis

2. Agenda Introduction to Talis – What we do and who we are
History of dTIMS in Western Australia
Why we need dTIMS in Australia
Talis’ Hosted Bureau Service for WA Local Government
Case study
Where to from here
Summary

3. Talis Small specialist consultancy based in Perth Western Australia
New company – 4 years old
4 years ago employees were 4 directors, now 22 staff
Extensive experience and knowledge of Western Australia Local Government – Political, Technical, Financial and Operational

4. Talis Services Specialist services include Asset Management
Spatial Intelligence
Waste Management
Environmental
Civil Design

6. Asset Owners in WA Main Roads Western Australia Local Government
dPAW – Largest network in WA (mostly unsealed tracks)
Watercorp
Rail
Mining
Oil and Gas
Grain – CBH
Defence

7. History of dTIMS in Western Australia
MRWA user since ????
Deployed as part of Roman II in 2011 for generating optimised Forward Works Programmes for LG
Hosted dTIMS v8 Enterprise delivered via Citrix
WALGA gave limited support and training – focused on Asset Inventory system
Recorded usage was low through hosted system
Some consultants using their own licences so their usage was not recorded

8. History of dTIMS in Western Australia
2015 WALGA decided to discontinue support for dTIMS through Roman II
Consultants could still offer modelling services through WALGA panel
Talis decided to work with Deighton setup a hosted system for WA Local Government
System is now live!

9. Need for long term Asset Management planning in Australia

10. Some facts and figures
In 2013–14, 9.6 per cent of Australia’s GDP was accounted for by Australian infrastructure industries
In 2013–14, almost 50 per cent of infrastructure construction was in the transport sector, $25 billion was spent on roads
Australia’s total road length was kilometres in 2013
In 2012–13, there were billion tonne kilometres of freight moved by road
176 billion passenger kilometres were travelled on capital city roads
Note - Australia's population 23 million
Source: BITRE, Australian Infrastructure Statistics Yearbook 2014,

11. "Selected year 2006 road traffic data"
"Selected year 2006 road traffic data". OECD International Traffic Safety Data and Analysis Group (IRTAD)

12. Source: BITRE, Australian Infrastructure Statistics Yearbook 2014,

13. Why is our Infrastructure Important?
“Infrastructure is important for Australia because of its size, the geographical dispersion of its population and production centres, and its remoteness from other markets.” – Organisation for Economic Co-operation and Development, September 2015
Source: BITRE, Australian Infrastructure Statistics Yearbook 2014,

14. Australian Infrastructure
Our asset infrastructure base is growing
Demand on the assets is increasing
Maintenance expenditure has not be kept in line with growth
When budgets are constrained often maintenance suffers
If we want our infrastructure to return value, we must maintain what we build.

15. Desired Outcomes from modelling in WA
Establish network need
Identify operational efficiencies
What if analysis??
Better use of constrained budgets – Optimisation
FWP
Strategic analysis
Compliance
Understanding!

16. Software Solution

17. Asset Deterioration Modelling

18. Deterioration Modelling Methods
Deterministic models
HSD
Demand, weather, soil type and other factors to calibrate rate of deterioration
Probabilistic Models
Data with discreet bins – Visual data
Calculates probability of being in the next condition state
Probability established from historic data
Families of like performing assets – Road hierarchy, Urban/Rural , pavement strength, soil type, demand

19. Probabilistic Models – Markov Chain
If more than 1 survey available
Group into like performing families
Calculate probability of change for family
Assign to section
Use local knowledge as sanity check
Only 1 survey available
Use local knowledge to determine rate of change
Prob.xlsx

20. Talis Modelling Process
Capturing local knowledge
Documenting knowledge
Model implementation and run
Review and improve
Field validation
Long term improvements and maintaining the model

21. Capturing Local Knowledge
Workshop with local experts – Technical and operational
Capture required outcomes (minimise rutting, smoother network, minimise maintenance $ etc)
How do local assets deteriorate
Segmentation rules
Intervention levels
Treatment selection process
Alternative treatment scenario criteria
Unit rates
What are our optimisation parameters – Objective function
Budgets to model

22. Documenting Treatment Selection

23. Model Review and Improvement
How do we get better
Implementing added functionality
Measuring success and value
Sharing success with entire industry – Locally, National, Globally

24. Analysis of Multiple Strategies
Analysing alternatives
Unsealed roads – what if we let them deteriorate?
Key routes – What will be our long term costs if we raise level of service?
Un-Constraining Funding Criteria
Cross asset optimisation – What if I take money from road maintenance and put some towards bridges?

25. WA Asset Management Cycle
Data Collection
Inventory validation
Asset Valuation
10 year FWP
Year 1
Inventory updates
Revaluation
Updated Annual FWP
Year 2
Year 3

26. Regional Road Groups in WA
Goldfields RRG
Kalgoorlie
Coolgardie
Menzies
Laverton
Leonora
Dundas
Esperance

27. Example of Regional Road Group
Council
Unsealed length km
Sealed length km
Esperance
3,740
855
Kalgoorlie-Boulder
1,030
376
Coolgardie
800
428
Dundas
500
860
Leonora
1,213
363
Menzies
2,144 36
Laverton
4,442 57
Wiluna
1,832 92

28. What can Modelling offer RRGs?
Strategic analysis of region – based on each individual network
Strategic analysis of individual LGs
Optimise shrinking budgets
Understand and communicate outcomes from constrained budgets
Effect of capital expansion

29. Shire of Augusta Margaret River Case Study

30. Shire of AMR Overview
2014 Talis undertook condition assessment and dTIMS Modelling at Shire of Augusta Margaret River
Asset inventory updated
Visual condition survey undertaken and uploaded to RAMM
dTIMS model implemented
10 year FWP and predicted condition report delivered
The outcomes identified issues with the funding model

31. Margaret River Modelling Project
Initial site visit to capture expectations
Data collection completed
Data updated in asset register (RAMM)
Workshop to determine desired outcomes and model parameters
Technical staff, operational staff, financial staff from council
Business rules established for sectioning, treatment selection and optimisation
Added a refined hierarchy system to better categorise roads

32. Margaret River Modelling Project
Model implementation
Initial model run
Alternate budget scenarios run
Desktop sanity check
Field validation
Model refining and extra scenarios added
Outcomes – This is where it gets interesting!

33. Margaret River Modelling Outcomes
The funding model heavily favours rehab projects above resurfacing – Limits potential treatment strategies
Budget scenarios were constrained to allow for this
Alternate strategies were run with the funding constraint removed – money could be spent reseal or rehab
Outcome – Costing approx. 20% more to get comparable result constrained vs unconstrained

34. Margaret River Modelling Outcomes

35. PCI – Alternative Funding Scenario
ConditionByRoadHeirarchy.xlsx

36. An Opportunity??
There is potential to get a similar result for network even with reduced funding!!
Should be challenging funding methodology?
To understand the long term effects of current funding levels
Explore and analyse at a regional level to get best value for a wider region?
There is always opportunities to be more efficient and make better with limited funds!

37. Talis Services Offered
Bureau Service – Model setup and run, forward work programme proposed sites and treatments, condition prediction from budget scenarios
Hosted Option – Includes all services offered in Bureau Service plus client access to dTIMS, support and customised reports. Client owns model setup and IP
Enterprise License – Includes all of above options plus install and deploy dTIMS on your IT environment, support and continuous improvement.

38. Summary

39. Dale Hughes Paul O’Docherty dale.hughes@talisconsultants.com.au
Paul O’Docherty