Performance Guarantees and Optimal Purification Decisions for Engineered Proteins
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 st...
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Veröffentlicht in: | Operations research 2018-01, Vol.66 (1), p.18-41 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 0030-364X 1526-5463 |
DOI: | 10.1287/opre.2017.1661 |