Case Study Revenue Protection | Water & Energy

1. Predictive Asset Management
Asset rich organisations such as
utilities and transport companies
all over the world are challenged
by ageing assets, risk of service
deterioration and preventing wider
consequence costs such as blackout
and pollution.At the same time,
financial constraints demand an
increased return on investment with
reduced maintenance budgets and
spending, whilst facing rising water
and energy demand, and increasing
population.
These contradictory demands can
be met through optimised asset
management and lifetime costing.
This requires accurate and reliable
models that consider both technical
and economic criteria.With the
right Predictive Asset Management
(PAM) solution you will find your
organisation’s assets and data hold
the answers to many of the business
and regulatory challenges your
organisation faces right now.
Without changing any of your systems, we can reduce your
OPEX and CAPEX spend significantly by improving the
performance of your active asset base.
Predictive
maintenance
triggers
Monitoring
and alert
triggers
Economic assessment and next best interventions
shifting from fail-and-fix to predict-and-prevent
PAM
Renewables
Transport
Grid
Energy
Water
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Case Study
Revenue Protection | Water & Energy
Challenge
The client sought help from Overbeck Analitica to redefine their meter replacement process.The meter exchange programme was driven
by an age dependent methodology, which selected meters to be exchanged, based on a default 12-year cycle. Many meters were significantly
under recording, which was diluting the company’s revenue significantly.This replacement on age approach was considered by the business
and external auditors to be inappropriate and not fit for future business use.The whole business process of meter replacement was limited in
scalability and far from streamlined.
Discovery
Overbeck Analitica started by looking at the current meter replacement criteria that the client used and how this could be developed upon.
Primary factors such as age and throughput were significant in predicting meter deterioration; secondary factors such as differentiation in
water qualities and maintenance contamination were also significantly affecting the meters accuracy. Our model reduced revenue dilution by
improving the planned replacement of meters, which were under recording, and thus protected revenue which would usually be lost through
under reading meters.
Overbeck Analitica also scrutinised the meter replacement work logs; we found that a significant number of meters needed replacing far
before coming up for economic replacement.These ‘EarlyVictims’ told us that factors such as incorrect installation or maintenance work were
disrupting the meter. By reacting to these factors the cost of ownership could be minimised as less meters needed premature replacement.
We also found that the clients legacy replacement process was difficult to scale because the data processing capacity was limited and it
required high levels of manual; labour intensive intervention. Our model enables a fully scalable, semi automatic business process, which
selects meters on an economic ‘best cut’ basis.
Impact
Overbeck Analitica developed a model that successfully selects meters for economic replacement; this increased revenue protection tenfold
to over £0.5M in the first year.
Improved business process and operational efficiency from 2-3 weeks (manual process / labour intensive) to 2-3 days (semi-automatic / audit
trail) with the benefit of targeting worst offending meters for economic replacement.

2. Testimonials‎...
“ I have found the implementation of the highest
standard, as well as adding considerable value to
our capital investment decision making. ”
Dr. Stephen Bird
COO, South West Water, UK
“ We are experiencing improved business process
and operational efficiency each month from 2 to 3
weeks labour intensive process to 2 to 3 days with
benefit of an automatic audit trail. ”
Clean Water, Ofwat audit
“ As a result of the model, increasing predictive
maintenance cost of 5% reduced hazard risk
significantly with combined operational cost
savings of over EUR 0.5M in the first year. ”
Capital Review & Asset Performance
“ Using operational data the model supports both
strategic and tactical predictions, enabling economic
maintenance planning and giving us the ability to make
preventative maintenance decisions. ”
Waste Water Infrastructure, UK
“ The model successfully selects meters for economic
replacement, this increased revenue protection
tenfold to over £500k in the first year. ”
Clean Water, Ofwat audit
“ During the working life of the asset, precision in
operations and maintenance is crucial to making
assets perform to the ongoing expectations of the
business, in the presence of variation and risk. ”
Corporate Manager
Major Energy Provider, Middle East
What
our
Customers say
“ We use a range of tools to tackle the 3,000 blockages in our network each year, including a predictive model that
identifies ‘hot-spots’ in the system most at risk of flooding.This helps us make repairs before problems occur,
such as collapsed sewers and blockages, which can lead to flooding. ”
Richard Gilpin, (Head of Waste Water Management, South West Water, UK)
Contact us
Via San Paolo Apostolo,
00044 Frascati,
Rome, Italy
Total Enterprise Modelling: Connecting people, systems and data to enable the predictive enterprise.
Voice: +39 339 1999351
Fax: +39 0694 64520
Email: info@overbeckanalitica.com
Dr. AtaiWinkler
Mobile: +44 (0)7817 263016
Email: atai.winkler@
overbeckanalitica.com
Ralph Overbeck
Mobile: +49 (0)1759 484098
Email: ralph.overbeck@
overbeckanalitica.com
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