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Economical Experiments for the Fuel Efficiency Industry

Summary of the impact

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.

Submitting Institution

Queen Mary, University of London

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Economic

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics, Econometrics

Improved efficiency and design practice in European maritime industry

Summary of the impact

The impact relates to improved productivity, operational efficiency, working practice and knowledge management within the European maritime industry through the use of a Virtual Integration Platform (VIP). The platform is a software package developed within the University of Strathclyde that has been used by eleven European ship design, engineering and project management consultancies, which specialise in the application of advanced computational design, analysis and physical modelling techniques within projects on an international scale. Specific company benefits of using the VIP include: 67% reduction in process time; guaranteed data consistency; additional productivity of 15 hours/day from automated over-night operation; capturing and reuse of expertise; cost effectiveness (lack of data consistency typically costs €100k per project); and ease of operation within complex design processes.

Submitting Institution

University of Strathclyde

Unit of Assessment

Aeronautical, Mechanical, Chemical and Manufacturing Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Artificial Intelligence and Image Processing, Information Systems
Built Environment and Design: Design Practice and Management

International standards and working practices of UK Aerospace & Defence industry changed by reliability growth modelling

Summary of the impact

New business models, technological innovations and global markets, demand that engineering firms better manage how they grow and achieve reliability during product development. A reliability growth modelling framework, developed from research at the University of Strathclyde, is being used by and influencing UK industry practice in the aerospace & defence sector. Our model underpins the modern approach to reliability growth management in Aero-Engine Controls (a Rolls-Royce company), Selex ES, and contributes to the Reliability Case required by the Ministry of Defence. The Strathclyde model is included in the international reliability growth standard (IEC 61164) which is adopted globally by manufacturing firms and procurement agencies.

Submitting Institution

University of Strathclyde

Unit of Assessment

Business and Management Studies

Summary Impact Type

Societal

Research Subject Area(s)

Mathematical Sciences: Statistics
Information and Computing Sciences: Information Systems
Economics: Applied Economics

Software Integration and Visualisation for Complex Electrical Motor Design Programming, Simulation and Modelling

Summary of the impact

Research was undertaken into practical methodologies for integrating disparate engineering design software packages, including techniques for managing data in different formats and package functionality available through varying programming models. There was an emphasis on usability for end users allowing a complex solution to be built without advanced programming experience or technical understanding of the underlying packages. The results were made available through a commercial software package marketed by an SME, successfully contributing to a significant increase in company profile, modified internal working procedures and an expanded portfolio of services available to customers. The final product has only recently appeared on the market, but to good review, promising early sales and projections of significant sales and increased turnover.

Submitting Institution

Glyndŵr University

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Computation Theory and Mathematics, Computer Software, Information Systems

The statistical analysis of heart-surgery data influences practice guidelines and choice of procedures

Summary of the impact

The statistical analysis of large datasets has contributed to the rehabilitation of the Ross procedure (the replacement of a failing aortic valve with the patient's own pulmonary valve) for specific patient groups, such as those above 50 years old who want to avoid daily anticoagulation treatment, and those with a reduced life span, especially patients on dialysis. The results of the research have (a) contributed to changes in the current practice guidelines of the European Society of Cardiologists and (b) have shown that, in contrast to previous beliefs, the Ross procedure can still be safely performed when the aortic valve malfunctions.

Submitting Institution

University of Sussex

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Health

Research Subject Area(s)

Mathematical Sciences: Statistics

The user- centred management of innovation in two SMEs

Summary of the impact

Green and Lilley's research on the management of innovation within creative organisations, with a specific focus on people-centred and socio-technical systems design of digital technology, has benefitted two companies significantly through two knowledge-transfer partnerships. One company — Bulb - more than doubled its staff numbers from 8 to 18 and increased turnover from £700,000 to £1.2 million. This research contributed to the basis for a new company — CrowdLab - now worth £1.5 million. Both companies have been short-listed for a number of awards, one recently winning the 2013 Leicester Mercury Innovative Company category. The School has embraced the University's Knowledge Exchange provision to respond effectively to the Government's economic development agenda which has placed HEIs `centre stage' to deliver private-sector led innovation and economic recovery.

Submitting Institution

University of Leicester

Unit of Assessment

Business and Management Studies

Summary Impact Type

Technological

Research Subject Area(s)

Information and Computing Sciences: Information Systems
Commerce, Management, Tourism and Services: Business and Management

Computer methods for assessing reliability of complex structures

Summary of the impact

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:

  • substantially aided companies to predict reliability of new electronic systems before physical prototyping providing significant cost savings;
  • enabled companies to assess impact of new materials that address environmental legislation;
  • provided information to the Cutty Sark Trust in help maintain this national maritime treasure.

Submitting Institution

University of Greenwich

Unit of Assessment

Computer Science and Informatics

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics
Information and Computing Sciences: Artificial Intelligence and Image Processing
Engineering: Materials Engineering

Integrating human factors into health design

Summary of the impact

This case study highlights research excellence in health design by a Group of four multi-disciplinary researchers. Collectively the Group of researchers apply user-centred approaches to design and evaluation of products and services which improve health and wellbeing. The Group employs user-engagement throughout the design lifecycle to achieve societal benefits through improved products, information, services, and systems. The research has delivered:

  • Economic Impact: by working with companies and organisations to deliver new products for the growing market in assistive technologies and services which support health and lifestyle improvements
  • Health Impacts: by improving health and quality of life for those with specific conditions and disabilities. This includes working with medical practitioners to translate ideas into products.
  • Impact on User Engagement in Policy Making: by addressing the challenges of collecting the needs and views of hard-to-reach groups and by using their techniques to develop Europe-wide guidelines for telehealth care services.

Beneficiaries include end-users of assistive technology, patients with long-term conditions and their carers, medical practitioners, policy makers and commercial organisations.

Submitting Institution

Coventry University

Unit of Assessment

Art and Design: History, Practice and Theory

Summary Impact Type

Societal

Research Subject Area(s)

Medical and Health Sciences: Public Health and Health Services
Education: Specialist Studies In Education

Industrial impact of Bayes linear analysis

Summary of the impact

This study demonstrates how Bayes linear methodologies developed at Durham University have impacted on industrial practice. Two examples are given. The approach has been applied by London Underground Ltd. to the management of bridges, stations and other civil engineering assets, enabling a whole-life strategic approach to maintenance and renewal to reduce costs and increase safety. The approach has won a major award for innovation in engineering and technology. The methodology has also been applied by Unilever and Fera to improve methods of assessing product safety and in particular the risk of chemical ingredients in products causing allergic skin reactions.

Submitting Institution

University of Durham

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Statistics
Economics: Econometrics

Decision Analysis and Support Tools for the Aerospace Industry

Summary of the impact

Research carried out at the University of Southampton has enabled major players in the aerospace industry — among them Rolls-Royce, Airbus, and Boeing — to produce more fuel efficient, longer lasting engines and aircraft at reduced cost. The research has provided the aerospace industry with modelling tools and software enabling companies to explore complex new designs quickly whilst managing product risk in a competitive market. The research team has also developed new design processes for unmanned aircraft, which — as a result of strong media interest - improved public understanding of such new technologies through worldwide coverage. A spin-out company has achieved strong technological and economic impacts in its own right.

Submitting Institution

University of Southampton

Unit of Assessment

General Engineering

Summary Impact Type

Technological

Research Subject Area(s)

Mathematical Sciences: Applied Mathematics, Numerical and Computational Mathematics

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