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Future Meetings

Visit to Dwr Cymru Welsh Water

Date: Wednesday, 04 May 2016 at 14:00 - 16:00

There is a visit to Dwr Cymru Welsh Water on Wednesday 4th of May between 2 and 4pm. The details are below. This is a great opportunity to see some exciting and innovative uses of Operational Research at first hand. Welsh Water has invested over £9 million in innovation projects over the last 12 months which has transformed the way they operate. The tour will give the opportunity to see cutting edge visualisation tools as well as many other areas of their business.


Please let me know if you plan to attend (email – Welsh Water require numbers in advance. Please also contact me if you would like a lift and we will see if we can arrange transport.




The address is Dwr Cymru Welsh Water, Ty Awen, Spooner Close, Coedkernew, Newport, NP10 8FZ. There is car parking onsite with a few visitor spaces at the front and an overflow carpark just behind the building.




The visit will include the following:


1.         Igloo 360 demonstration - Igloo 360 is a circular pod which projects a 360 degree image onto the walls. It has the capability of google street map and intricate details of sites (see

2.       Modelling bacti failures at reservoirs - Bacti failures can occur in the water at reservoirs and Welsh Water model the probability of a sample failing at each reservoir

3.       Treatment Performance Forecast (TPF) - Looking at determinants at treatment works to establish causing factors and provide a score to each work

4.       Smart Hub overview - The Smart Hub is an area of the company that looks at predicting failures/problems before they happen to reduce disruption to the customer

5.       Smart scheduling - Optimising tanker deliveries around sites to minimise the number of tankers, fuel emissions and cost of hiring contractors

6.       Rant and Rave - If a customer contacts us we invite them to provide us with feedback of our customer service via our Rant and Rave system. From this we can establish how to improve via sentiment analysis