Manufacturing Optimization Through Intelligent Techniques 2006 PDF Download
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| Author | : Rajendran Saravanan |
| Publisher | : CRC Press |
| Total Pages | : 273 |
| Release | : 2017-11-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1351360779 |
Download Manufacturing Optimization through Intelligent Techniques (2006) Book in PDF, ePub and Kindle
Effective utilization of equipment is critical to any manufacturing operation, especially with today's sophisticated, high-cost equipment and increased global competition. To meet these challenges in the manufacturing industry, you must understand and implement the myriad conventional and intelligent techniques for different types of manufacturing problems. Manufacturing Optimization Through Intelligent Techniques covers design of machine elements, integrated product development, machining tolerance allocation, selection of operating parameters for CNC machine tools, scheduling, part family formation, selection of robot coordinates, robot trajectory planning and both conventional and intelligent techniques, providing the tools to design and implement a suitable optimization technique. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program. The book delineates five new techniques using examples taken from the literature for optimization problems in design, tolerance allocation; selection of machining parameters, integrated product development, scheduling, concurrent formation of machine groups and part families, selection of robot co-ordinates, robot trajectory planning and intelligent machining. All the manufacturing functions described have been successfully solved by Genetic Algorithm. Other intelligent techniques have been implemented only for solving certain types of problems: simulated annealing; design and scheduling, particle swarm optimization and ant colony optimization; tolerance allocation and tabu search; as well as machining parameters optimization. After reading this book, you will understand the different types of manufacturing optimization problems as well as the conventional and intelligent techniques suitable for solving them. You will also be able to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing.
| Author | : Taylor & Francis Group |
| Publisher | : |
| Total Pages | : |
| Release | : 2018-12-31 |
| Genre | : |
| ISBN | : 9781138560642 |
Download Revival Book in PDF, ePub and Kindle
| Author | : Fei Tao |
| Publisher | : Springer |
| Total Pages | : 364 |
| Release | : 2014-08-18 |
| Genre | : Computers |
| ISBN | : 3319088408 |
Download Configurable Intelligent Optimization Algorithm Book in PDF, ePub and Kindle
Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturing processes. It provides a comprehensive elaboration of basic intelligent optimization algorithms, and demonstrates how their improvement, hybridization and parallelization can be applied to manufacturing. Furthermore, various applications of these intelligent optimization algorithms are exemplified in detail, chapter by chapter. The intelligent optimization algorithm is not just a single algorithm; instead it is a general advanced optimization mechanism which is highly scalable with robustness and randomness. Therefore, this book demonstrates the flexibility of these algorithms, as well as their robustness and reusability in order to solve mass complicated problems in manufacturing. Since the genetic algorithm was presented decades ago, a large number of intelligent optimization algorithms and their improvements have been developed. However, little work has been done to extend their applications and verify their competence in solving complicated problems in manufacturing. This book will provide an invaluable resource to students, researchers, consultants and industry professionals interested in engineering optimization. It will also be particularly useful to three groups of readers: algorithm beginners, optimization engineers and senior algorithm designers. It offers a detailed description of intelligent optimization algorithms to algorithm beginners; recommends new configurable design methods for optimization engineers, and provides future trends and challenges of the new configuration mechanism to senior algorithm designers.
| Author | : Farayi Musharavati |
| Publisher | : Universal-Publishers |
| Total Pages | : 200 |
| Release | : 2010-09 |
| Genre | : Technology & Engineering |
| ISBN | : 1599423596 |
Download Process Planning Optimization in Reconfigurable Manufacturing Systems Book in PDF, ePub and Kindle
To date, reconfigurable manufacturing systems (RMSs) are among the most effective manufacturing styles that can offer manufacturers an alternative way of facing up to the challenges of continual changes in production requirements within the global, competitive and dynamic manufacturing environments. However, availability of optimal process plans that are suitable for reconfigurable manufacturing is one of the key enablers - yet to be fully unlocked - for realizing the full benefits of true RMSs. To unlock the process planning key and advance the state of art of reconfigurable manufacturing in the manufacturing industry, a number of questions need to be answered: (i) what decision making models and (ii) what computational techniques, can be applied to provide optimal manufacturing process planning solutions that are suitable for logical reconfiguration in manufacturing systems? To answer these questions, you must understand how to model reconfigurable manufacturing activities in an optimization perspective. You must also understand how to develop and select appropriate optimization techniques for solving process planning problems in manufacturing systems. To this end, Process Planning Optimization in Reconfigurable Manufacturing Systems covers: the design and operation of RMSs, optimal process planning modelling for reconfigurable manufacturing and the design and implementation of heuristic algorithm design techniques. The author explores how to: model optimization problems, select suitable optimization techniques, develop optimization algorithms, comparatively analyze the performance of candidate metaheuristics and how to investigate the effects of optimal process planning solutions on operating levels in manufacturing systems. This book delineates five alternative heuristic algorithm design techniques based on simulated annealing, genetic algorithms and the boltzmann machine that are tasked to solve manufacturing process planning optimization problems in RMSs. After reading this book, you will understand: how a reconfigurable manufacturing system works, the different types of manufacturing optimization problems associated with reconfigurable manufacturing, as well as the conventional and intelligent techniques that are suitable for solving process planning optimization problems. You will also be able to develop and implement effective optimization procedures and algorithms for a wide spectrum of optimization problems in design and reconfigurable manufacturing."
| Author | : Davim, J. Paulo |
| Publisher | : IGI Global |
| Total Pages | : 464 |
| Release | : 2012-02-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1466601299 |
Download Computational Methods for Optimizing Manufacturing Technology: Models and Techniques Book in PDF, ePub and Kindle
"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.
| Author | : Kapil Gupta |
| Publisher | : Springer |
| Total Pages | : 237 |
| Release | : 2019-06-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3030196380 |
Download Optimization of Manufacturing Processes Book in PDF, ePub and Kindle
This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Optimization of Manufacturing Processes is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
| Author | : K. Palanikumar |
| Publisher | : Springer Nature |
| Total Pages | : 268 |
| Release | : 2021-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3030700097 |
Download Futuristic Trends in Intelligent Manufacturing Book in PDF, ePub and Kindle
This book shows how Industry 4.0 is a strategic approach for integrating advanced control systems with Internet technology enabling communication between people, products and complex systems. It includes processes such as machining features, machining knowledge, execution control, operation planning, machine tool selection and cutting tool. This book focuses on different articles related to advanced technologies, and their integration to foster Industry 4.0, being useful for researchers as well as industrialists to refer and utilize the information in production control.
| Author | : Zhou, Zude |
| Publisher | : IGI Global |
| Total Pages | : 407 |
| Release | : 2010-03-31 |
| Genre | : Computers |
| ISBN | : 1605668656 |
Download Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation Book in PDF, ePub and Kindle
"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
| Author | : Kalita, Kanak |
| Publisher | : IGI Global |
| Total Pages | : 298 |
| Release | : 2020-12-25 |
| Genre | : Technology & Engineering |
| ISBN | : 1799872084 |
Download Data-Driven Optimization of Manufacturing Processes Book in PDF, ePub and Kindle
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 | : Sunil Pathak |
| Publisher | : Springer Nature |
| Total Pages | : 202 |
| Release | : 2020-07-21 |
| Genre | : Technology & Engineering |
| ISBN | : 3030503127 |
Download Intelligent Manufacturing Book in PDF, ePub and Kindle
This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft computing to enhance production performance, efficiency and sustainability in manufacturing. The latest research in this area as well as possible avenues of future research are also highlighted.
