Process Systems Engineering for Pharmaceutical Manufacturing : From Product Design to Enterprise-Wide Decisions - Yuan

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Process Systems Engineering for Pharmaceutical Manufacturing

From Product Design to Enterprise-Wide Decisions

By: Yuan, Singh

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Hardcover | 20 March 2018 | Edition Number 1

At a Glance

Hardcover
698 Pages

Dimensions(cm)
23.5 x 19.05 x 3.81

Hardcover

RRP $389.95

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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.

Introduces Process System Engineering (PSE) methods and tools for discovering, developing and deploying greener, safer, cost-effective and efficient pharmaceutical production processes
Includes a wide spectrum of case studies where different PSE tools and methods are used to improve various pharmaceutical production processes with distinct final products
Examines the future benefits and challenges for applying PSE methods and tools to pharmaceutical manufacturing

Industry Reviews

"Process Systems Engineering for Pharmaceutical Manufacturing? is a diverse collection of reviews and case studies, most of which were published previously. While this book provides an excellent summary of process modelling and computing with a view to the increased importance of robust simulation tools in pharmaceutical process development and manufacturing, more recent journal publications may provide additional or more in-depth information on the current state of specific technologies or algorithms described in the book. It is also evident that much of the key work in these areas has yet to be done. One topic missing from discussion in the book is the advent of quantum computing and the potential quantum computing presents in solving optimisation problems in process systems engineering. I would look forward to seeing an additional volume added to the series as the technology develops" --Johnson Matthey Technology Review

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