Process Systems Engineering for Pharmaceutical Manufacturing: From Product Design to Enterprise-wide Decision-making. Questo articolo non è disponibile.Process Systems Engineering for Pharmaceutical Manufacturing: From Product Design to Enterprise-wide Decision-making

Process Systems Engineering for Pharmaceutical Manufacturing: From Product Design to Enterprise-Wide Decisions, Volume 41, covers the following process systems engineering methods and tools for the modernization of the pharmaceutical industry: computer-aided pharmaceutical product design and pharmaceutical production processes design/synthesis; modeling and simulation of the pharmaceutical processing unit operation, integrated flowsheets and applications for design, analysis, risk assessment, sensitivity analysis, optimization, design space identification and control system design; optimal operation, control and monitoring of pharmaceutical production processes; enterprise-wide optimization and supply chain management for pharmaceutical manufacturing processes.

Currently, pharmaceutical companies are going through a paradigm shift, from traditional manufacturing mode to modernized mode, built on cutting edge technology and computer-aided methods and tools. Such shifts can benefit tremendously from the application of methods and tools of process systems engineering.

Dr. Ravendra Singh is Assistant Research Professor at C-SOPS, Department of Chemical and Biochemical Engineering, Rutgers University, USA, working in Pharmaceutical System Engineering research field. C-SOPS is a unique pharmaceutical center founded by National Science Foundation (NSF) USA with annual budget exceeding 40 million USD. Dr. Singh is also serving as a manager and key researcher of “multi million dollars projects funded by NSF, FDA and pharmaceutical companies. He is well known in pharmaceutical systems engineering field among regulators, researchers and pharmaceutical manufacturing practitioners for his work related to pharmaceutical process monitoring and control, simulation, optimization, QbD, PAT, and novel methods and software tools development. He is highly experienced on pharmaceutical systems engineering as well as practical implementation into the plant.

Dr. Singh’s educational background was also based on Pharmaceutical system engineering field of Chemical and Biochemical Engineering. He obtained his MS from IIT Roorkee India and completed his MS thesis from Process System Engineering center, RWTH Aachen Germany on modelling and control of crystallization process (a key unit operation used for API purification process). He has completed his PhD from CAPEC, Department of Chemical and Biochemical Engineering, Technical University of Denmark. For his PhD thesis which was based on pharmaceutical systems engineering, he received a prestigious EFCE Excellence Award given in Recognition of an Outstanding PhD Thesis, from European Federation of Chemical Engineering. In the area pf pharmaceutical system engineering, he has published more than 43 research papers, written 4 book chapters, and presented at over 75 international conferences.

On the basis of Dr. Singh’s educational and research backgrounds and publication records, he is a right person to be served as an editor and author of this book.

Zhihong Yuan received his M.Sc. from China University of Petroleum (Beijing) in 2008 before moving to Tsinghua University where he obtained his Ph.D in 2011. After working at Carnegie Mellon University as a postdoctoral researcher for almost three years, he moved to Auburn University as a postdoctoral fellow in 2014. In this September, he will be joining Tsinghua University, China as an assistant professor at the Department of Chemical Engineering.

Since 2008, Dr. Yuan has been extensively involved in several research activities in the field of process systems engineering ranging from processing unit/plant-wide

modelling, simulation, and nonlinear analysis to process synthesis/design, optimization, and control along with the extensive applications to energy systems and (petro) chemical processes.