 Further Details Highlights the basic principles and applications of the primary three methods in plant and process optimization for responsible operators and engineers. Chemical engineers are a vital part of the creation of any process development—lab-scale and pilot-scale—for any plant. In fact, they are the lynchpin of later efforts to scale-up and full-scale plant process improvement. As these engineers approach a new project, there are three generally recognized methodologies that are applicable in industry generally: Design of Experiments (DOE), Evolutionary Operations (EVOP), and Data Mining Using Neural Networks (DM). In Full Scale Plant Optimization in Chemical Engineering, experienced chemical engineer Živorad R. Laziċ offers an in-depth analysis and comparison of these three methods in full-scale plant optimization applications. The book is designed to provide the basic principles and necessary information for complete understanding of these three methods (DOE, EVOP, and DM). The application of each method is fully described. Full Scale Plant Optimization in Chemical Engineering readers will also find: Full Scale Plant Optimization in Chemical Engineering is a useful reference for all chemists in industry, chemical engineers, pharmaceutical chemists, and process engineers. Missing Information? |