The CityCLIM project has officially started on the 1st of October 2021 with 9 other partners.…
The MAESTRI project aims to advance the sustainability of European manufacturing and process industries, providing a management system in the form of a flexible and scalable platform, guiding and simplifying the implementation of an innovative approach, the Total Efficiency Framework. The overall aim of this framework is to encourage a culture of improvement within process industries by assisting the decision-making process, supporting the development of improvement strategies and helping to define the priorities to improve the companies’ environmental and economic performance. The development and validation of the MAESTRI results will be supported by application in four real industrial settings across a variety of different sectors.
The MAESTRI Total Efficiency Framework will be based on four main pillars:
- An effective management system targeted at process and continuous improvement
- Efficiency assessment tools to define improvement and optimisation strategies and support decision-making processes
- Integration with a toolkit for Industrial Symbiosis, focusing on material and energy exchange between industrial companies
- A software platform, based on Internet of Things (IoT) technologies, to simplify the concept implementation and ensure an integrated control of the improvement process
Over a period of 4 years, the project will deliver exploitable results clustered into technological outputs (including eco-innovative products, processes and services tailored to industrial end-users) and structured solutions (involving technical, economical, legislative and policy solutions synergistically combined).
The MAESTRI consortium involves 15 partners from 5 European countries (Germany, Portugal, Italy, Poland, United Kingdom). ATB is one of research and development partners, involved mainly in the MAESTRI software platform development and in the two German application scenarios, supporting the industrial partners in the pilot application of the MAESTRI results.