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Optimisation tools developed in the UoA have significantly advanced the ability to find the best designs for complex systems in cases where these were previously unobtainable. These optimisation tools have been implemented in several companies to shorten design times, reduce costs and reduce CO2 emissions. This has brought about new multi-million pound revenues, long-term contracts, increased employment and contribution to sustainability targets.
Transport crew scheduling research at Leeds University since 1994 produced optimising algorithms and industry-ready software that led to the spinning out of Tracsis in 2004. The software, including upgrades, is used by over 40 bus and train companies who previously relied on manual processes. A minimum estimate of a £230 million saving in crew costs has been achieved in the UK alone over 2008-31.7.2013. Since 2008, the software has been routinely used by bidders in all UK rail franchise tenders, contributing to cost effective, efficient and reliable rail transport. Success led to the Tracsis floatation in November 2007 (market capitalisation: £46.7 million on 22/5/2013).
Research at the University of Leeds has underpinned the company Lhasa Ltd. which has made widely available the toxicity prediction software currently known as Derek Nexus. The use of Derek Nexus by large pharmaceutical companies to support drug development is effectively universal. Toxicology prediction software has led to changes in guidelines issued by regulatory authorities and to industry-wide changes to the investigation of the toxicity of trace impurities. These changes have reduced the resources needed for experimental investigation of toxicity, and have increased revenues derived from launched drugs by extending their patent period of exclusivity. Lhasa Ltd. derives income in support of its charitable aims from Derek Nexus , and a related product Meteor Nexus (Meteor) also based on research undertaken in Leeds. The company reported revenues over £5.4M in 2012 and employs 71 highly qualified staff.
Spatial decomposition methods have been extended to apply to spatial, scale, and temporal domains as a result of work at the Numerical and Applied Mathematics Research Unit (NAMU) at the University of Greenwich. This work has led to a numerical framework for tackling many nonlinear problems which have been key bottlenecks in software design and scientific computing. The work has benefitted the welding industry in the UK because these concepts are now embedded, with parallel computing, in the industry's modern welding design process software.
Research carried out at the University of Leeds has led to the development of a system for predicting severe air turbulence at airports and elsewhere. The research modelled highly localised `rotor streaming' turbulence which is too small-scale to predict using today's numerical weather prediction models. The Met Office now uses the highly efficient 3DVOM computer prediction model, based on the Leeds research, to improve its operational weather forecasting, especially for providing warnings of `gustiness' to the public and airports and to highlight risks of overturning of high-sided vehicles. In addition, the model is used by forecasters to predict dangerous turbulence at Mount Pleasant Airport in the Falkland Islands, and has led to the prevention of around five flight diversions per year at an estimated cost saving of £1.25 million.
Effective industrial design and simulation require efficient and versatile computing systems. As a result of research performed by our team experienced in High Performance Computing (HPC), novel software structures and aligned hardware architectures have led to significant benefits to the energy supply industry and to microprocessor manufacturers.
As a result of our research with supercomputing, simulation times for electric field patterns in power components have reduced more than 30-fold, with accurate complex 3-D outputs for an increased range of configurations, thereby enabling our partner company to achieve results not possible with commercial software and to reduce product development costs by $0.5M - $5M p.a.
Our research has been incorporated by Intel into their numerical libraries and now made available to the general public supported by their latest processor architectures. Intel now has a 82% share of processors, according to the November 2013 Top500 list.
Computational research work at Swansea concerned with finite element/discrete element analysis, has made a profound impact on the solution of industrial problems. The development and implementation of novel computational algorithms and their subsequent application to leading edge engineering and scientific problems has been effected through the commercial software system ELFEN, developed collaboratively with Rockfield Software Ltd, a spin-out company from Swansea University. ELFEN has enabled the company to expand through the development of an international reputation as a leading provider of computational technology to the defence, manufacturing, oil recovery, mining and other sectors. Specific examples of economic benefit described in this case study are (i) design methodology for weight reduction in glass container production resulting in significant energy and CO2 emission savings and (ii) computational modelling of rock blasting operations leading to substantial economies in the mining industry.
Research at Swansea University in the area of computational electromagnetics has led to better design of aircraft with respect to radar detection and the screening of internal systems from the effect of unwanted electromagnetic field ingress. A key issue was the development of an ability to accommodate electromagnetically large complex bodies having spatially small, but electromagnetically important, features. In addition, procedures for modelling RF threats, including lightning strikes and electromagnetic hazards, were also developed. Such progress has enabled significant improvement in electromagnetic performance of technology produced by BAE Systems reaching across its Advanced Technology Centre and its business units (Military Aircraft and Information, and Naval Ships). This research enabled two-orders-of-magnitude improvement in efficiency of BAE software compared to previously used techniques, significantly reducing design time. These developments were used on major international programmes such as TYPHOON, the Taranis UCAV (unmanned Combat Air Vehicle).
Textile-heritage research at the University of Leeds has informed and improved public awareness and understanding of textile heritages among target audiences, especially school children, community groups, volunteers, interns and teachers. Through hands-on workshops, conventional publications, talks and lectures, a strong website presence and public exhibitions, the research has engaged and inspired audiences, and has underpinned a `best practice' resource for other museums and archives. Impact is demonstrated through direct feedback from workshop participants, evidence of community engagement, commentary in the visitors' book, website hits, and also from accreditations, awards and endorsements from key national arts organisations in recognition of initiatives enhancing public appreciation of textile heritages.
Spatial models developed from research in the School of Geography about population movements in cities are informing commercial planning and public policy analysis. The conduit for this impact is GMAP Ltd., a spin-out company established by the University of Leeds, which has used the models as the basis for its MicroVision and RetailVision software. Companies including Ford, Exxon, HBoS and Asda-Walmart have used this software for a range of purposes including maximizing individual stores' profitability and reconfiguring entire networks to fit changing market conditions. Government agencies have also used the software to optimize resource allocation in policing, education and healthcare.