Own development model for Integrated Management of Technological Innovation.
Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data
The project will develop and demonstrate a manufacturing scheduling optimisation system that uses real-time smart sensors and big data analytics to react and improve manufacturing performance. Within this scope, the impact of energy management on factory planning & optimisation will be specifically addressed.
VISIT WEBSITEOPTIMISED seeks 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 OPTIMISED environment will use semantically enriched process modelling, big-data generation, capture and perform analytics to develop a digital simulation modelling toolbox that effectively support planning specialists, manufacturing engineers, team leaders and shopfloor 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.
