Optimising the fermentation throughput in biomanufacturing with bleed–feed

References

• Bei, X., X. Zhu, and D. W. Coit. 2019. “A Risk-averse Stochastic Program for Integrated System Design and Preventive Maintenance Planning.” European Journal of Operational Research 276 (2): 536–548.
   Web of Science ®Google Scholar
• Boone, T., R. Ganeshan, Y. Guo, and J. K. Ord. 2000. “The Impact of Imperfect Processes on Production Run Times.” Decision Sciences 31 (4): 773–787.
   Web of Science ®Google Scholar
• Çetinkaya, S., and C.-Y. Lee. 2000. “Stock Replenishment and Shipment Scheduling for Vendor-managed Inventory Systems.” Management Science 46 (2): 217–232.
   Web of Science ®Google Scholar
• Chang, H.-C., and C.-H. Ho. 2010. “Exact Closed-form Solutions for ‘Optimal Inventory Model for Items with Imperfect Quality and Shortage Backordering’.” Omega 38 (3–4): 233–237.
   Web of Science ®Google Scholar
• Chang, H. N., N.-J. Kim, J. Kang, C. M. Jeong, J.-D.-R. Choi, Q. Fei, B. J. Kim, S. Kwon, S. Y. L. Lee, and J. Kim. 2011. “Multi-stage High Cell Continuous Fermentation for High Productivity and Titer.” Bioprocess and Biosystems Engineering 34 (4): 419–431.
   PubMed Web of Science ®Google Scholar
• Cherkaoui, H., K. T. Huynh, and A. Grall. 2018. “Quantitative Assessments of Performance and Robustness of Maintenance Policies for Stochastically Deteriorating Production Systems.” International Journal of Production Research 56 (3): 1089–1108.
   Web of Science ®Google Scholar
• Colletti, P. F., Y. Goyal, A. M. Varman, X. Feng, B. Wu, and Y. J. Tang. 2011. “Evaluating Factors that Influence Microbial Synthesis Yields by Linear Regression with Numerical and Ordinal Variables.” Biotechnology and Bioengineering 108 (4): 893–901.
   PubMed Web of Science ®Google Scholar
• Cunha, C., J. Glassey, G. Montague, S. Albert, and P. Mohan. 2002. “An Assessment of Seed Quality and Its Influence on Productivity Estimation in an Industrial Antibiotic Fermentation.” Biotechnology and Bioengineering 78 (6): 658–669.
   PubMed Web of Science ®Google Scholar
• D'anjou, M. C., and A. J. Daugulis. 2001. “A Rational Approach to Improving Productivity in Recombinant Pichia pastoris Fermentation.” Biotechnology and Bioengineering 72 (1): 1–11.
   PubMed Web of Science ®Google Scholar
• Doran, P. M. 1995. Bioprocess Engineering Principles. London: Elsevier.
   Google Scholar
• European Commission. 2020. “The Research Project Was One of the Three Finalists of 2020 MSCA2020.HR Awards. The Competition Was Among All Disciplines to Acknowledge the Most Influential Projects Under Horizon 2020 Program of European Commission.” https://msca2020.hr/msca-awards/.
   Google Scholar
• Handlogten, M. W., A. Lee-O'Brien, G. Roy, S. V. Levitskaya, R. Venkat, S. Singh, and S. Ahuja. 2018. “Intracellular Response to Process Optimization and Impact on Productivity and Product Aggregates for a High-titer CHO Cell Process.” Biotechnology and Bioengineering 115 (1): 126–138.
   PubMed Web of Science ®Google Scholar
• IFORS News. 2020. “Innovative Applications of Operations Research: Reducing Costs and Lead Times in Biomanufacturing.” https://www.ifors.org/newsletter/ifors-news-march-2020.pdf.
   Google Scholar
• IMPACT. 2020. “Operational Research Improves Biomanufacturing Efficiency.” https://www.theorsociety.com/publications/magazines/impact-ma.
   Google Scholar
• Kachrimanidou, V., A. Vlysidis, N. Kopsahelis, and I. K. Kookos. 2020. “Increasing the Volumetric Productivity of Fermentative Ethanol Production Using a Fed-batch Vacuferm Process.” Biomass Conversion and Biorefinery 11 (2): 1–8.
   Web of Science ®Google Scholar
• Kaminsky, P., and Y. Wang. 2015. “Analytical Models for Biopharmaceutical Operations and Supply Chain Management: a Survey of Research Literature.” Pharmaceutical Bioprocessing 3 (1): 61–73.
   Google Scholar
• Kapadi, M. D., and R. D. Gudi. 2004. “Optimal Control of Fed-batch Fermentation Involving Multiple Feeds Using Differential Evolution.” Process Biochemistry 39 (11): 1709–1721.
   Web of Science ®Google Scholar
• Karamatsoukis, C., and E. Kyriakidis. 2009. “Optimal Maintenance of a Production-inventory System with Idle Periods.” European Journal of Operational Research 196 (2): 744–751.
   Web of Science ®Google Scholar
• Koca, Y., T. Martagan, I. Adan, L. Maillart, and B. van Ravenstein. 2021. “Increasing Biomanufacturing Yield with Bleed-Feed: Optimal Policies and Insights.” Working paper. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3659907.
   Google Scholar
• Li, D., L. Qian, Q. Jin, and T. Tan. 2011. “Reinforcement Learning Control with Adaptive Gain for a Saccharomyces cerevisiae Fermentation Process.” Applied Soft Computing 11 (8): 4488–4495.
   Web of Science ®Google Scholar
• Limon, Y., and A. Krishnamurthy. 2020. “Resource Allocation Strategies for Protein Purification Operations.” IISE Transactions 52 (9): 945–960.
   Web of Science ®Google Scholar
• Maddah, B., and M. Y. Jaber. 2008. “Economic Order Quantity for Items with Imperfect Quality: Revisited.” International Journal of Production Economics 112 (2): 808–815.
   Web of Science ®Google Scholar
• Martagan, T., A. Krishnamurthy, and C. T. Maravelias. 2016. “Optimal Condition-based Harvesting Policies for Biomanufacturing Operations with Failure Risks.” IIE Transactions 48 (5): 440–461.
   Web of Science ®Google Scholar
• Mordor Intelligence. 2020. “Biopharmaceuticals Market -- Growth, Trends, and Forecasts (2020–2025).” Accessed 19 January 2021. https://www.mordorintelligence.com/industry-reports/global-bi.
   Google Scholar
• MSD. 2019. “Operations Research Improves Biomanufacturing Efficiency.” Accessed 25 June 2019. https://www.youtube.com/watch?v=79B7OBuvRkY&feature=youtu.be.
   Google Scholar
• Muldowney, M. 2018. “Continuous vs. Batch Production.” https://www.contractpharma.com/issues/2018-04-01/view_feature.
   Google Scholar
• Nakanishi, S. C., L. B. Soares, L. E. Biazi, V. M. Nascimento, A. C. Costa, G. J. M. Rocha, and J. L. Ienczak. 2017. “Fermentation Strategy for Second Generation Ethanol Production From Sugarcane Bagasse Hydrolyzate by Spathaspora passalidarum and Scheffersomyces stipitis.” Biotechnology and Bioengineering 114 (10): 2211–2221.
   PubMed Web of Science ®Google Scholar
• Nederlandse Biotechnologische Vereniging. 2018. “Computers and Bioprocess Development.” Accessed 28 March 2018. https://nbv.kncv.nl/en/activities/nbv-detail-page/411/computers-bioprocess-development/about.
   Google Scholar
• Peroni, C. V., N. S. Kaisare, and J. H. Lee. 2005. “Optimal Control of a Fed-batch Bioreactor Using Simulation-based Approximate Dynamic Programming.” IEEE Transactions on Control Systems Technology 13 (5): 786–790.
   Web of Science ®Google Scholar
• Rebaiaia, M. L., D. Ait-kadi, and A. Jamshidi. 2017. “Periodic Replacement Strategies: Optimality Conditions and Numerical Performance Comparisons.” International Journal of Production Research55 (23): 7135–7152.
   Web of Science ®Google Scholar
• Ross, S. M. 1996. Stochastic Processes. 2nd ed. New York: Wiley.
   Google Scholar
• Sabri-Laghaie, K., and R. Noorossana. 2016. “Reliability and Maintenance Models for a Competing-risk System Subjected to Random Usage.” IEEE Transactions on Reliability 65 (3): 1271–1283.
   Web of Science ®Google Scholar
• Sahling, F., and G. J. Hahn. 2019. “Dynamic Lot Sizing in Biopharmaceutical Manufacturing.” International Journal of Production Economics 207 (2): 96–106.
   Web of Science ®Google Scholar
• Sharma, M. 2019. “Maximizing Biomanufacturing Productivity in Single-Use Applications.” https://www.medicaldesignbriefs.com/component/content/article/mdb/features/technology-leaders/35518.
   Google Scholar
• Villaverde, A. F., S. Bongard, K. Mauch, E. Balsa-Canto, and J. R. Banga. 2016. “Metabolic Engineering with Multi-objective Optimization of Kinetic Models.” Journal of Biotechnology 222 (3): 1–8.
   PubMed Web of Science ®Google Scholar
• Walker, N. 2017. “Perfusion Appears to be Gaining Traction in Biopharma Manufacturing.” https://www.pharmasalmanac.com/articles/perfusion-appears-to–be-gaining-traction-in-biopharma-manufacturing.
   Google Scholar
• Wang, W.-B. 2000. “A Model to Determine the Optimal Critical Level and the Monitoring Intervals in Condition-based Maintenance.” International Journal of Production Research 38 (6): 1425–1436.
   Web of Science ®Google Scholar
• Wang, Y., W. Sun, S. Zheng, Y. Zhang, and Y. Bao. 2019. “Genetic Engineering of Bacillus sp. and Fermentation Process Optimizing for Diacetyl Production.” Journal of Biotechnology 301: 2–10.
   PubMed Web of Science ®Google Scholar
• Xie, W., B. Wang, C. Li, J. Auclair, and P. Baker. 2020. “Bayesian Network Based Risk and Sensitivity Analysis for Production Process Stability Control.” Preprint, Submitted September 10: 2019.
   Google Scholar
• Yang, Y., and M. Sha. 2019. “A Beginner's Guide to Bioprocess Modes–Batch, FedBatch, and Continuous Fermentation.” https://www.eppendorf.com/product-media/doc/en/763594/Ferment-Bioreactors_Application-Note_408_BioBLU-f-Single-Vessel_A-Beginner%E2%80%99s-Guide.
   Google Scholar
• Zeng, L., X. Deng, and J. Yang. 2018. “Constrained Gaussian Process with Application in Tissue-engineering Scaffold Biodegradation.” IISE Transactions 50 (5): 431–447.
   Web of Science ®Google Scholar