The aim of this project is to develop novel methods and tools for deployment of OPTIMISED and reactive planning systems that incorporate factory modelling and simulation based on data captured using smart embedded sensors and pro-active human-machine interfaces for various industries.


the challenge

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.

Furthermore, 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.

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The result

The OPTIMISED environment will use semantically enriched process modeling, big-data generation, capture and perform analytics to develop a digital simulation modeling toolbox that effectively support planning specialists, manufacturing engineers, team leaders and shop floor operatives throughout the system’s lifecycle. These next generation manufacturing systems supported by data rich manufacturing execution systems with OPTIMISED technology will support a dramatic improvement in system performance, operational efficiency and equipment utilisation, real-time equipment and station performance monitoring, adaptation and resource optimisation.

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14/11/18 Congratulations on Top 100 award

Congratulations to our Project Coordinator Dr Graham Herries for being recognised as a Top100 Exemplar by The Manufacturer at the Manufacturing Leaders Conference and Smart Factory Expo in Liverpool on 14th-15th November 2018.

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