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The petrochemical industry is eager to develop advanced fuels which improve fuel efficiency both for economic and environmental reasons. Statistics plays a crucial role in this costly process. Innovative Bayesian methodology developed by Gilmour was applied at Shell Global Solutions to data from fuel experiments to solve a recurring statistical problem. The usefulness of this approach to the wider petrochemical industry has been recognized by the industry-based Coordinating European Council (CEC) for the Development of Performance Tests for Fuels, Lubricants and other Fluids, who in their statistics manual have included Gilmour's method as an alternative to procedures in the ISO 5725 standard.
Novel statistical methods were developed in order to address the needs of Federal-Mogul Corporation (FM), an innovative and diversified $6.9bn global component supplier to vehicle manufacturers, with a broad range of customers in the industrial sector. During 2012, the research underpinned the production of new disc brake pad products for Audi, BMW, Ford, GM, Mercedes Benz and VW. The research has already resulted in significant benefits for the company by improving the manufacturing process, allowing it to be optimised to a mean specification, and by reducing the production cycle time by 30%.
Our research has been applied directly by Aviva plc. to develop improved products in the general insurance market (e.g. household and car) and in the more specialised area of enhanced pension annuities. As a result, Aviva has become more competitive in these markets and customers are enjoying better value for money. In the case of enhanced annuities, the benefits are in the form of higher pension income for those accurately identified as facing shortened life expectancies. Aviva is the largest insurance company in the UK and the sixth largest in the world.
Sustained research in the field of advanced survey design, advanced analysis of complex survey data and the study of public opinion has enabled Professor Cees van der Eijk to make a unique and vital contribution to the work of the Cabinet Office's Committee on Standards in Public Life (CSPL). As an independent public body that advises government on ethical standards across public life in the UK, CSPL has drawn upon Van der Eijk's methodological innovation in data analysis as well as his systematic research to inform its policy recommendations to government. These recommendations have helped to shape policy on matters of public probity, voter registration, MPs' expenses and political party finance. His research for the CSPL has also influenced other independent organisations and the wider public debate on integrity in public life.
The Computational Mechanics and Reliability Group at the University of Greenwich has been developing computational methods for predicting material behaviour and component reliability since the late 1990s. This case study details economic and environmental impacts and impacts on practitioners. In particular it shows how our expertise has:
Free and open access (OA) to publicly funded research offers significant benefits, but it also requires complex new systems to underpin it. University of Southampton research has resulted in software products enabling large numbers of research institutions to implement their own digital research repositories. Studies on the viability and impact of OA have steered institutions towards a more cost-effective and impactful model for disseminating research, and UK public policy has been directly influenced by the Southampton team's advocacy work. The research also led to economic benefits through two spin-outs and the development of digital archiving techniques, which have been widely used by broadcast and film institutions.
Small area estimation (SAE) describes the use of Bayesian modelling of survey and administrative data in order to provide estimates of survey responses at a much finer level than is possible from the survey alone. Over the recent past, academic publications have mostly targeted the development of the methodology for SAE using small-scale examples. Only predictions on the basis of realistically sized samples have the potential to impact on governance and our contribution is to fill a niche by delivering such SAEs on a national scale through the use of a scaling method. The impact case study concerns the use of these small area predictions to develop disease-level predictions for some 8,000 GPs in England and so to produce a funding formula for use in primary care that has informed the allocation of billions of pounds of NHS money. The value of the model has been recognised in NHS guidelines. The methodology has begun to have impact in other areas, including the BIS `Skills for Life' survey.
The field of conceptual chemical process design as practiced industrially has been influenced significantly by the outputs from the Centre for Process Integration (CPI) at Manchester. Process Integration Ltd (PIL) was spun-out from Manchester and currently employs over 50 staff globally, who have conducted projects that have resulted in annual cost savings of hundreds of millions of US dollars. The application of CPI technology has led to significant reductions in both energy costs and emissions of greenhouse gases. Since 2008 ca. US$350m of savings have been realized through the exploitation of CPI technology with US$1.4m generated from software sales.
The transport of people, goods, and utilities (e.g. electricity, oil, gas and water) is essential to civilised life, and in turn depends on a robust, reliable and affordable infrastructure. Since 1995, the University of Southampton Geomechanics Group (SGG) has led the development of an enhanced, science-based framework for understanding the behaviour of geotechnical transport infrastructure through monitoring, modelling and analysis. The techniques we have developed have been used by the builders, owners and operators of transport infrastructure both nationally and internationally to develop improved understandings of infrastructure geotechnical behaviour both during construction and in service. This has led to substantial savings in build, maintenance and operational costs; the implementation of effective remediation and management strategies; and significantly improved infrastructure performance.
Clinical trials form a crucial step in translating fundamental medical research into improved healthcare. Many hundreds of trials are conducted every year, each involving hundreds, sometimes thousands, of patients. These trials are expensive, with costs as high as 20 or 30 thousand pounds per patient. Research in Bath on group sequential monitoring and the adaptive design of clinical trials has improved the conduct of clinical trials, leading to:
The impact of this research is economic (the business performance of pharmaceutical companies and businesses that support them), societal (by enhancing public health and by changing the policies adopted by regulators) and ethical (ensuring clinical trials remain safe, while bringing life-saving treatments into clinical use as rapidly as possible).