What is OPTIMISED?
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 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.
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.
20/9/17 Exploitation Strategy Seminar
On the 26th of September, IK4-Ideko will hold an Exploitation Strategy Seminar (ESS) in the frame of OPTIMISED H2020 European Project. Partners of OPTIMISED will meet to celebrate the ESS Exploitation Strategy Seminar at IK4-Ideko facilities, Elgoibar, Spain.
21/12/15 OPTIMISED Kick Off Meeting
The kick off meeting of the project OPTIMISED, 100% funded by the EU under the H2020 program, took place on 16th and 17th November 2015.