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Optimal Decision Making under Uncertainty in Biomanufacturing Operations

Total Cost €


EC-Contrib. €






Project "OPTBIOMAN" data sheet

The following table provides information about the project.


Organization address
address: GROENE LOPER 3
postcode: 5612 AE

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Project website
 Total cost 177˙598 €
 EC max contribution 177˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2018-02-28


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project 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.


year authors and title journal last update
List of publications.
2018 T. Martagan, Y. Limon, A. Krishnamurthy, T. Foti, P. A. Leland
Aldevron Accelerates Growth Using Operations Research in Biomanufacturing
published pages: , ISSN: 0092-2102, DOI:
Interfaces (Forthcoming Paper) 2019-10-08
2016 Akçay, A., Martagan, T.
Stochastic simulation under input uncertainty for contract manufacturer selection in pharmaceutical industry
published pages: , ISSN: , DOI:
Proceedings of the Winter Simulation Conference 2019-06-13
2017 Martagan, T., Krishnamurthy, A. Leland, P. A., Maravelias, C.
Performance Guarantees and Optimal Purification Decisions for Engineered Proteins
published pages: , ISSN: 0030-364X, DOI:
Operations Research 2019-06-13
2017 Akçay, A., Martagan, T.
Simulation-based production planning for engineer-to-order systems with random yield
published pages: , ISSN: , DOI:
Proceedings of the Winter Simulation Conference 2019-06-13
2019 Martagan, T., Krishnamurthy, A. Leland, P. A.
Managing Trade-offs in Protein Manufacturing: How much to waste?
published pages: , ISSN: 1523-4614, DOI:
Manufacturing and Service Operations Management (Forthcoming Paper) 2019-06-13

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The information about "OPTBIOMAN" are provided by the European Opendata Portal: CORDIS opendata.

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