Objective
An inter-disciplinary modelling and optimization framework will be developed to economically optimize biomanufacturing decision under high process variability, failure risks, and expensive operating costs. New stochastic models will be developed to link the underlying biological and chemical dynamics of the biomanufacturing processes (cell-level dynamics) with the financial trade-offs in terms of yield, quality, operating costs, and failure risks (manufacturing system-level dynamics). In particular, the research project will model and analyze the economics of the upstream fermentation and downstream purification operations. Novel approximations and heuristics will be developed based on the unique features of the problem setting in order to solve large size problems encountered in industry practices. Optimal (near-optimal) operating policies will be theoretically and numerically analyzed for both upstream fermentation and downstream chromatography operating decisions. The framework will provide timely and effective tools and models to economically optimize biomanufacturing decisions. A solid inter-disciplinary research foundation will be built combining the knowledge from the biological and chemical engineering, stochastic control, reliability theory, and manufacturing systems engineering. This research project will expand and strengthen the industry network of the OPAC group at Eindhoven University of Technology towards the emerging biomanufacturing industry in the Europe. The tools and models developed in this project will be relevant to the European industry practices, and will benefit the European society by making these therapeutic drugs more accessible in the future.
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.
- engineering and technology environmental biotechnology bioremediation bioreactors
- engineering and technology chemical engineering
- natural sciences computer and information sciences artificial intelligence heuristic programming
- engineering and technology industrial biotechnology bioprocessing technologies fermentation
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
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.
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.
Funding Scheme
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.
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.
MSCA-IF-EF-RI - RI – Reintegration panel
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
5612 AE Eindhoven
Netherlands
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.