Objective
The objective of this accompanying measure is to extend the work previously carried out within PROGNOSIS (EP22281). The aim of PROGNOSIS was to demonstrate, on a wide-range of production processes and products, the comprehensive improvements that could be achieved in plant performance through the off-line application of Multivariate Statistical Process Control (MSPC). PROGNOSIS II aims to extend the technology to at-line and on-line process performance monitoring on four different processes. MSPC has been shown to be a generic tool capable of monitoring the performance of all variables on continuous or batch plant and their plant-wide interactions.
The basic research work to establish the potential of the methodology on single unit operations, or single plants will have been carried out with prototype software applied off-line by the industrial partners in PROGNOSIS. The research content of PROGNOSIS II is directed at the further developments in MSPC necessary for its robust application in an industrial environment both at-line and on-line and its extension to handle the monitoring of inter-connected process operations. MSPC is currently being evaluated in the USA at-line and on-line by a number of companies, in collaboration with McMaster University. However, in Europe, the only studies undertaken in industry to date are within PROGNOSIS. This project addresses for the first time the at-line and off-line implementation of the technology in Europe.
The University of Newcastle and Aristotle University of Thessaloniki have jointly developed expertise in the techniques of MSPC for both continuous and batch processes. Access to plant and data collection facilities will be provided by the partner companies, BASF (complex reaction plant); Ceat Cavi (compounding); Solvay (batch/continuous drying); Unilever (food and detergents processing); and AUT (batch polymerisation). The SME, MDC, through collaboration with the University technical innovators, will focus on recent IT developments in hardware, software, data visualisation for operator display and management information systems. At-line MSPC will be implemented four contrasting processes, continuous, batch and semi-batch, with the final phase of the project focusing upon on-line application.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- social sciences economics and business business and management innovation management
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
NE1 7RU NEWCASTLE UPON TYNE
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.