Maximizing benefits by optimization of product quality and yield is the ultimate goal of industrial bioprocess operations. In batch processes, this can be achieved by a repeatable process to convert raw materials to final products and tools for supervision of process operation and intervention when needed. Process development involves integration of scientific knowledge with sound design principles. Considering the vast number of permutations in raw materials types and properties, processing methods, and operating conditions, relying exclusively on experimental trial-and-error is not a feasible option for process development. Powerful design of experiments tools are available to reduce the number of experiments, but the cost and length of relying exclusively on experiments are still prohibitive for developing most industrial processes. Use of modeling and simulation tools reduces the cost and the length of the process development period significantly. Process models are also the cornerstone of process monitorCopyright © 2003 by Taylor & Francis Group, LLC
ing, process control, and fault diagnosis tools that are the building blocks for supervision of process operation and intervention decisions. The book focuses on these four topics: modeling, monitoring, control, and diagnosis. Introductory remarks on these four topics are given in the following subsections.
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