OPTIMISED aims to develop novel methods and tools for deployment of highly optimised and reactive planning systems that incorporate extensive factory modelling and simulation based on empirical data captured using smart embedded sensors and pro-active human-machine interfaces.
The impact of energy management on factory planning and optimisation will be specifically assessed and demonstrated to reduce energy waste and address peak demand so that operations that require or use less energy, can allow this excess energy to be re-routed to local communities.
The Team’s responsibility is to deliver a coherent reference software architecture which provides templates for concrete architectures across three demonstrators. The team is working closely with the three demonstrator partners: ALSTOM, GOIMEK and Laing O'Rourke and is faced with the challenge of developing specific architectural designs that satisfy requirements in different sectors.
The OPTIMISED environment will use semantically enriched process modelling, big-data generation and capture, and perform analytics to effectively support planning specialists, manufacturing engineers, team leaders and shop floor operatives throughout the systems lifecycle. These next generation manufacturing systems supported by data rich manufacturing execution systems with OPTIMISED technology will support a dramatic improvement in system performance, improved operational efficiency and equipment utilisation, real-time equipment and station performance monitoring, adaptation and resource optimisation.
The OPTIMISED vision will be achieved by developing systems which are able to:
EU H2020 Project ID: 680515
Visit OPTIMISED's website Manufacturing Systems Institute for Advanced Manufacturing
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The University of Nottingham Faculty of Engineering The University of Nottingham University Park Nottingham, NG7 2RD
email:AdvManufacturing@nottingham.ac.uk