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Author: Enrique del Castillo Publisher: Springer Science & Business Media ISBN: 0387714359 Category : Mathematics Languages : en Pages : 462
Book Description
This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization, and more.
Author: Enrique del Castillo Publisher: Springer Science & Business Media ISBN: 0387714359 Category : Mathematics Languages : en Pages : 462
Book Description
This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization, and more.
Author: Maria Isabel Rodrigues Publisher: CRC Press ISBN: 1482299569 Category : Science Languages : en Pages : 324
Book Description
Experimental Design and Process Optimization delves deep into the design of experiments (DOE). The book includes Central Composite Rotational Design (CCRD), fractional factorial, and Plackett and Burman designs as a means to solve challenges in research and development as well as a tool for the improvement of the processes already implemented. Appr
Author: Martin Hofmann Publisher: Springer Nature ISBN: 3658340975 Category : Business & Economics Languages : en Pages : 193
Book Description
This book provides an overview of the various methods for creating and implementing efficient work processes. The author presents the most important tools for working on improvement projects such as process mapping, Ishikawa diagram, burn-down chart, or Pareto chart. Using successfully realized improvement projects from practice, the concrete implementation of process optimization is illustrated. In addition, it is shown how these methods, which originate from the production sector, can be successfully used in the office sector.
Author: Rhyder Publisher: CRC Press ISBN: 9780824799090 Category : Technology & Engineering Languages : en Pages : 356
Book Description
This work presents the concepts of process design, problem identification, problem-solving and process optimization. It provides the basic tools needed to increase the consistency and profitability of manufacturing options, stressing the paradigms of improvement and emphasizing the hands-on use of tools furnished. The book introduces basic experimental design principles and avoids complicated statistical formulae.
Author: Ignacio E. Grossmann Publisher: Cambridge University Press ISBN: 1108831656 Category : Mathematics Languages : en Pages : 205
Book Description
A unique text covering basic and advanced concepts of optimization theory and methods for process systems engineers. With examples illustrating key concepts and algorithms, and exercises involving theoretical derivations, numerical problems and modeling systems, it is ideal for single-semester, graduate courses in process systems engineering.
Author: Frank (Xin X.) Zhu Publisher: John Wiley & Sons ISBN: 1118782534 Category : Technology & Engineering Languages : en Pages : 419
Book Description
Exploring methods and techniques to optimize processing energy efficiency in process plants, Energy and Process Optimization for the Process Industries provides a holistic approach that considers optimizing process conditions, changing process flowschemes, modifying equipment internals, and upgrading process technology that has already been used in a process plant with success. Field tested by numerous operating plants, the book describes technical solutions to reduce energy consumption leading to significant returns on capital and includes an 8-point Guidelines for Success. The book provides managers, chemical and mechanical engineers, and plant operators with methods and tools for continuous energy and process improvements.
Author: Thomas F. Edgar Publisher: ISBN: 9780071189774 Category : Chemical processes Languages : en Pages : 651
Book Description
This book is an update of a successful first edition that has been extremely well received by the experts in the chemical process industries. The authors explain both the theory and the practice of optimization, with the focus on the techniques and software that offer the most potential for success and give reliable results. Applications case studies in optimization are presented with new examples taken from the areas of microelectronics processing and molecular modeling. Ample references are cited for those who wish to explore the theoretical concepts in more detail.
Author: F. Carl Knopf Publisher: John Wiley & Sons ISBN: 1118121147 Category : Technology & Engineering Languages : en Pages : 798
Book Description
Energy costs impact the profitability of virtually all industrial processes. Stressing how plants use power, and how that power is actually generated, this book provides a clear and simple way to understand the energy usage in various processes, as well as methods for optimizing these processes using practical hands-on simulations and a unique approach that details solved problems utilizing actual plant data. Invaluable information offers a complete energy-saving approach essential for both the chemical and mechanical engineering curricula, as well as for practicing engineers.
Author: Kalita, Kanak Publisher: IGI Global ISBN: 1799872084 Category : Technology & Engineering Languages : en Pages : 298
Book Description
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
Author: Enrique del Castillo
Author: Enrique del Castillo
Author: Maria Isabel Rodrigues
Author: Martin Hofmann
Author: Rhyder
Author: Ignacio E. Grossmann
Author: Frank (Xin X.) Zhu
Author: Thomas F. Edgar
Author: Jan Stentoft Arlbjørn
Author: F. Carl Knopf
Author: Kalita, Kanak