Manufacturing Optimization Through Intelligent Techniques 2006

Author : Rajendran Saravanan
Publisher : CRC Press
Page : 238 pages
File Size : 53,7 Mb
Release : 2017-09-28
Category : Electronic
ISBN : 1138106097

Get Book

Manufacturing Optimization Through Intelligent Techniques (2006) by Rajendran Saravanan Pdf

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 : Rajendran Saravanan
Publisher : CRC Press
Page : 256 pages
File Size : 43,9 Mb
Release : 2006-02-27
Category : Technology & Engineering
ISBN : 0824726790

Get Book

Manufacturing Optimization through Intelligent Techniques by Rajendran Saravanan Pdf

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 : Rajendran Saravanan
Publisher : CRC Press
Page : 232 pages
File Size : 50,9 Mb
Release : 2017-11-22
Category : Technology & Engineering
ISBN : 9781351360777

Get Book

Manufacturing Optimization through Intelligent Techniques (2006) by Rajendran Saravanan Pdf

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 : Unknown
Page : 128 pages
File Size : 53,5 Mb
Release : 2018-12-31
Category : Electronic
ISBN : 1138560642

Get Book

Revival by Taylor & Francis Group Pdf

Author : Fei Tao,Lin Zhang,Yuanjun Laili
Publisher : Springer
Page : 361 pages
File Size : 48,7 Mb
Release : 2014-08-18
Category : Computers
ISBN : 9783319088402

Get Book

Configurable Intelligent Optimization Algorithm by Fei Tao,Lin Zhang,Yuanjun Laili Pdf

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
Page : 200 pages
File Size : 43,8 Mb
Release : 2010-09
Category : Technology & Engineering
ISBN : 9781599423593

Get Book

Process Planning Optimization in Reconfigurable Manufacturing Systems by Farayi Musharavati Pdf

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 : Sultan Ceren Oner,Oya H. Yuregir
Publisher : Unknown
Page : 238 pages
File Size : 51,9 Mb
Release : 2018
Category : Artificial intelligence
ISBN : 1522551395

Get Book

Optimizing Big Data Management and Industrial Systems with Intelligent Techniques by Sultan Ceren Oner,Oya H. Yuregir Pdf

"This book present applications of intelligent optimization techniques in data management and manufacturing systems. It discusses optimization techniques in terms of heuristic and metaheuristic methods to manage and optimize the problems in data mining, recommender systems and advanced manufacturing systems and examines the decision making issues"--

Author : Davim, J. Paulo
Publisher : IGI Global
Page : 464 pages
File Size : 41,5 Mb
Release : 2012-02-29
Category : Technology & Engineering
ISBN : 9781466601291

Get Book

Computational Methods for Optimizing Manufacturing Technology: Models and Techniques by Davim, J. Paulo Pdf

"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 : Zhou, Zude,Wang, Huaiqing,Lou, Ping
Publisher : IGI Global
Page : 407 pages
File Size : 46,5 Mb
Release : 2010-03-31
Category : Computers
ISBN : 9781605668659

Get Book

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation by Zhou, Zude,Wang, Huaiqing,Lou, Ping Pdf

"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Author : Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi
Publisher : IGI Global
Page : 298 pages
File Size : 51,9 Mb
Release : 2020-12-25
Category : Technology & Engineering
ISBN : 9781799872085

Get Book

Data-Driven Optimization of Manufacturing Processes by Kalita, Kanak,Ghadai, Ranjan Kumar,Gao, Xiao-Zhi Pdf

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 : Kapil Gupta,Munish Kumar Gupta
Publisher : Springer
Page : 237 pages
File Size : 51,7 Mb
Release : 2019-06-25
Category : Technology & Engineering
ISBN : 9783030196387

Get Book

Optimization of Manufacturing Processes by Kapil Gupta,Munish Kumar Gupta Pdf

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 : Sunil Pathak
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2021
Category : Electronic
ISBN : 3030503135

Get Book

Intelligent Manufacturing by Sunil Pathak Pdf

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.

Author : Ravipudi Venkata Rao,Jan Taler
Publisher : Springer Nature
Page : 710 pages
File Size : 41,7 Mb
Release : 2023-04-07
Category : Technology & Engineering
ISBN : 9789811992858

Get Book

Advanced Engineering Optimization Through Intelligent Techniques by Ravipudi Venkata Rao,Jan Taler Pdf

This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.

Author : Ahmad K. Elshennawy,Gamal S. Weheba
Publisher : Society of Manufacturing Engineers (SME)
Page : 786 pages
File Size : 42,9 Mb
Release : 2015-01-02
Category : Technology & Engineering
ISBN : 9780872638716

Get Book

Manufacturing Processes & Materials, 5th Edition by Ahmad K. Elshennawy,Gamal S. Weheba Pdf

Manufacturers know the value of a knowledgeable workforce. The challenge today is finding skilled people to fill these positions. Since publication of the first edition in 1961, instructors, students, and practitioners have relied on Manufacturing Processes and Materials for the foundational knowledge needed to perform in manufacturing roles across a myriad of industries. As an on-the-job reference, anyone working in a technical department of a manufacturing company — regardless of education, experience, and skill level — will use this book to gain a basic understanding of manufacturing processes, materials, and equipment. Now in its fifth edition, the book covers the basic processes, materials, and machinery used in the job shop, toolroom, or small manufacturing facility. At the same time, it describes advanced equipment used in larger production environments. The reader is given a thorough review of metals, composites, plastics, and other engineering materials, including their physical properties, testing, treatment, and suitability for use in manufacturing. Quality, measurement and gaging, process planning and cost analysis, and manufacturing systems are all addressed. Questions and problems at the end of each chapter can be used as a self-test or as assignments in the classroom. Manufacturing Processes and Materials is also available as an eBook. Additional teaching materials for instructors: Instructor's Guide (eBook only)Instructor's Slides (zip file)

Author : Hans-Jörg Kreowski,Bernd Scholz-Reiter,Klaus-Dieter Thoben
Publisher : Springer Science & Business Media
Page : 564 pages
File Size : 41,5 Mb
Release : 2013-03-28
Category : Technology & Engineering
ISBN : 9783642359668

Get Book

Dynamics in Logistics by Hans-Jörg Kreowski,Bernd Scholz-Reiter,Klaus-Dieter Thoben Pdf

The volume comprises the proceedings of the third International Conference on Dynamics in Logistics LDIC 2012. The scope of the conference targeted the identification, analysis, and description of the dynamics of logistic processes and networks. The spectrum ranged from the modeling and planning of processes and innovative methods like autonomous control and knowledge management to the new technologies provided by radio frequency identification, mobile communication, and networking. The growing dynamics in the area of logistics poses completely new challenges: Logistic processes and networks must rapidly and flexibly adapt to continuously changing conditions. LDIC 2012 provided a venue for researchers from academia and industry interested in the technical advances in dynamics in logistics. The conference addressed research in logistics from a wide range of fields, e.g. engineering, computer science and operations research. The volume consists of two invited papers and of 49 contributed papers divided into various subjects including transport logistics, routing in dynamic logistic networks, modeling, simulation, optimization and collaboration in logistics, identification technologies, mathematical modeling in transport and production logistics, information, communication, risk and failure in logistic systems, autonomous control in logistic processes, global supply chains and industrial applications, and the Internet of Things in the context of logistics.