Performance Guarantees and Optimal Purification Decisions for Engineered Proteins

Tugce Martagan (), Ananth Krishnamurthy (), Peter A. Leland () and Christos T. Maravelias ()
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Tugce Martagan: School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, 5612 AZ Netherlands
Ananth Krishnamurthy: Department of Industrial and Systems Engineering, University of Wisconsin Madison, Madison, Wisconsin 53706
Peter A. Leland: Aldevron, Madison, Wisconsin 53719
Christos T. Maravelias: Department of Chemical and Biological Engineering, University of Wisconsin Madison, Madison, Wisconsin 53706

Operations Research, 2018, vol. 66, issue 1, 18-41

Abstract: We investigate protein purification operations conducted by biomanufacturers and pharmaceutical companies as part of their research and development efforts. Purification of these proteins involves unique challenges such as balancing the yield and purity trade-offs, dealing with uncertainty in the starting material, and estimating the impact of several interlinked decisions. We develop a Markov decision model and partition the state space into decision zones that provide managerial insights to optimize purification operations. We develop practical guidelines to quantify financial risks, and we characterize the optimal operating decisions based on specific production requirements. The optimization framework has been implemented at Aldevron, a contract biomanufacturer specializing in proteins, and has resulted in 25% reduction in the total lead times and 20% reduction in the costs of protein purification operations on average.

Keywords: stochastic control; reachability of target set; guaranteed performance; biomanufacturing (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (6)

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