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Process Optimization

Process Optimization PDF 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.

Process Optimization

Process Optimization PDF 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.

Experimental Design and Process Optimization

Experimental Design and Process Optimization PDF 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

A Holistic Approach to Process Optimisation

A Holistic Approach to Process Optimisation PDF 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.

Manufacturing Process Design and Optimization

Manufacturing Process Design and Optimization PDF 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.

Advanced Optimization for Process Systems Engineering

Advanced Optimization for Process Systems Engineering PDF 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.

Energy and Process Optimization for the Process Industries

Energy and Process Optimization for the Process Industries PDF 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.

Business Process Optimization

Business Process Optimization PDF Author: Jan Stentoft Arlbjørn
Publisher: Academica
ISBN: 9788776758141
Category : Business logistics
Languages : en
Pages : 228

Book Description


Optimization of Chemical Processes

Optimization of Chemical Processes PDF 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.

Modeling, Analysis and Optimization of Process and Energy Systems

Modeling, Analysis and Optimization of Process and Energy Systems PDF 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.

Optimization for Machine Learning

Optimization for Machine Learning PDF Author: Suvrit Sra
Publisher: MIT Press
ISBN: 026201646X
Category : Computers
Languages : en
Pages : 509

Book Description
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields. Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community.