Thames Water Utilities Limited (TWUL) is the UK’s largest water and wastewater company providing services to over 16 million customers. Thames Water supplies on average 2.6 billion litres of drinking water per day across London and the Thames Valley, and treats an average of more than 4.4 billion litres per day of wastewater.
Given the complexity of end-to-end planning between 350 sewage works to 32 sludge treatment centres and the day to day operational constraints of these sites, Thames Water recognised the need for a Decision Support Tool (DST) that would provide an optimal intersite transport and sludge treatment plan.
Traditionally, Thames Water managed their intersite sludge activities via a central logistics management desk. This used a crude average haulage rate and cost-to-treat to try and optimise the logistics whilst maximising generation potential and minimising overall operational (OPEX) costs. Thames Water recognised that by embedding leading-edge prescriptive analytics into business as usual decision-making, significant operational efficiencies could be achieved.
Thames Water appointed Business Modelling Associates (BMA) to build a sludge supply and demand Decision Support Tool (DST) that provides an optimised, lowest OPEX cost, end-to-end plan of how to store, transport, treat and dispose of sludge.
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