Manufacturing Optimization Through Intelligent Techniques

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Manufacturing Optimization through Intelligent Techniques (2006)

Author : Rajendran Saravanan
Publisher : CRC Press
ISBN 13 : 1351360779
Total Pages : 232 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Manufacturing Optimization through Intelligent Techniques (2006) by : Rajendran Saravanan

Download or read book Manufacturing Optimization through Intelligent Techniques (2006) written by Rajendran Saravanan and published by CRC Press. This book was released on 2017-11-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimization of Manufacturing Processes

Author : Kapil Gupta
Publisher : Springer
ISBN 13 : 3030196380
Total Pages : 237 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Optimization of Manufacturing Processes by : Kapil Gupta

Download or read book Optimization of Manufacturing Processes written by Kapil Gupta and published by Springer. This book was released on 2019-06-25 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Engineering Optimization Through Intelligent Techniques

Author : Ravipudi Venkata Rao
Publisher : Springer Nature
ISBN 13 : 9811992851
Total Pages : 710 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Advanced Engineering Optimization Through Intelligent Techniques by : Ravipudi Venkata Rao

Download or read book Advanced Engineering Optimization Through Intelligent Techniques written by Ravipudi Venkata Rao and published by Springer Nature. This book was released on 2023-04-07 with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data-Driven Optimization of Manufacturing Processes

Author : Kalita, Kanak
Publisher : IGI Global
ISBN 13 : 1799872084
Total Pages : 298 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Data-Driven Optimization of Manufacturing Processes by : Kalita, Kanak

Download or read book Data-Driven Optimization of Manufacturing Processes written by Kalita, Kanak and published by IGI Global. This book was released on 2020-12-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Engineering Optimization Through Intelligent Techniques

Author : R. Venkata Rao
Publisher : Springer
ISBN 13 : 9811381968
Total Pages : 861 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Advanced Engineering Optimization Through Intelligent Techniques by : R. Venkata Rao

Download or read book Advanced Engineering Optimization Through Intelligent Techniques written by R. Venkata Rao and published by Springer. This book was released on 2019-07-09 with total page 861 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. 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. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.

Configurable Intelligent Optimization Algorithm

Author : Fei Tao
Publisher : Springer
ISBN 13 : 3319088408
Total Pages : 361 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Configurable Intelligent Optimization Algorithm by : Fei Tao

Download or read book Configurable Intelligent Optimization Algorithm written by Fei Tao and published by Springer. This book was released on 2014-08-18 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimizing Big Data Management and Industrial Systems with Intelligent Techniques

Author : Sultan Ceren Oner
Publisher :
ISBN 13 : 9781522551393
Total Pages : 238 pages
Book Rating : 4.5/5 (513 download)

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Book Synopsis Optimizing Big Data Management and Industrial Systems with Intelligent Techniques by : Sultan Ceren Oner

Download or read book Optimizing Big Data Management and Industrial Systems with Intelligent Techniques written by Sultan Ceren Oner and published by . This book was released on 2018 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Intelligent Optimisation Techniques

Author : Duc Pham
Publisher : Springer Science & Business Media
ISBN 13 : 1447107217
Total Pages : 308 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Intelligent Optimisation Techniques by : Duc Pham

Download or read book Intelligent Optimisation Techniques written by Duc Pham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.

Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems

Author : Ganesh M. Kakandikar
Publisher : CRC Press
ISBN 13 : 1000258386
Total Pages : 279 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems by : Ganesh M. Kakandikar

Download or read book Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems written by Ganesh M. Kakandikar and published by CRC Press. This book was released on 2020-12-08 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

Futuristic Trends in Intelligent Manufacturing

Author : K. Palanikumar
Publisher : Springer Nature
ISBN 13 : 3030700097
Total Pages : 268 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Futuristic Trends in Intelligent Manufacturing by : K. Palanikumar

Download or read book Futuristic Trends in Intelligent Manufacturing written by K. Palanikumar and published by Springer Nature. This book was released on 2021-05-31 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Engineering Optimization Through Intelligent Techniques

Author :
Publisher :
ISBN 13 : 9789811381973
Total Pages : 861 pages
Book Rating : 4.3/5 (819 download)

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Book Synopsis Advanced Engineering Optimization Through Intelligent Techniques by :

Download or read book Advanced Engineering Optimization Through Intelligent Techniques written by and published by . This book was released on 2020 with total page 861 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2018. 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. Different optimization techniques and algorithms such as genetic algorithm (GA), differential evolution (DE), simulated annealing (SA), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, artificial immune algorithm (AIA), teaching-learning-based optimization (TLBO) algorithm and many other latest meta-heuristic techniques and their applications are discussed. This book will serve as a valuable reference for students, researchers and practitioners and help them in solving a wide range of optimization problems.

Advanced Engineering Optimization Through Intelligent Techniques

Author : Ravipudi Venkata Rao
Publisher : Springer
ISBN 13 : 9789819746538
Total Pages : 0 pages
Book Rating : 4.7/5 (465 download)

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Book Synopsis Advanced Engineering Optimization Through Intelligent Techniques by : Ravipudi Venkata Rao

Download or read book Advanced Engineering Optimization Through Intelligent Techniques written by Ravipudi Venkata Rao and published by Springer. This book was released on 2024-09-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises peer-reviewed papers presented at the 4th International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2023. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, 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, particle swarm optimization, gravitational search algorithm, ant lion optimization, dragonfly algorithm, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, many other latest meta-heuristic techniques, machine learning algorithms, and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, PROMETHEE, desirability function, SWARA, R-method, BHARAT method, Taguchi 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.

Large Scale Optimization in Supply Chains and Smart Manufacturing

Author : Jesús M. Velásquez-Bermúdez
Publisher : Springer Nature
ISBN 13 : 303022788X
Total Pages : 282 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Large Scale Optimization in Supply Chains and Smart Manufacturing by : Jesús M. Velásquez-Bermúdez

Download or read book Large Scale Optimization in Supply Chains and Smart Manufacturing written by Jesús M. Velásquez-Bermúdez and published by Springer Nature. This book was released on 2019-09-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.

Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods

Author : Minis, Ioannis
Publisher : IGI Global
ISBN 13 : 1615206345
Total Pages : 338 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods by : Minis, Ioannis

Download or read book Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods written by Minis, Ioannis and published by IGI Global. This book was released on 2010-12-31 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.

Process Planning Optimization in Reconfigurable Manufacturing Systems

Author : Farayi Musharavati
Publisher : Universal-Publishers
ISBN 13 : 1599423596
Total Pages : 200 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis Process Planning Optimization in Reconfigurable Manufacturing Systems by : Farayi Musharavati

Download or read book Process Planning Optimization in Reconfigurable Manufacturing Systems written by Farayi Musharavati and published by Universal-Publishers. This book was released on 2010-09 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."

Mechanical Design Optimization Using Advanced Optimization Techniques

Author : R. Venkata Rao
Publisher : Springer Science & Business Media
ISBN 13 : 1447127471
Total Pages : 323 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Mechanical Design Optimization Using Advanced Optimization Techniques by : R. Venkata Rao

Download or read book Mechanical Design Optimization Using Advanced Optimization Techniques written by R. Venkata Rao and published by Springer Science & Business Media. This book was released on 2012-01-15 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational costs. Mechanical Design Optimization Using Advanced Optimization Techniques presents a comprehensive review on latest research and development trends for design optimization of mechanical elements and devices. Using examples of various mechanical elements and devices, the possibilities for design optimization with advanced optimization techniques are demonstrated. Basic and advanced concepts of traditional and advanced optimization techniques are presented, along with real case studies, results of applications of the proposed techniques, and the best optimization strategies to achieve best performance are highlighted. Furthermore, a novel advanced optimization method named teaching-learning-based optimization (TLBO) is presented in this book and this method shows better performance with less computational effort for the large scale problems. Mechanical Design Optimization Using Advanced Optimization Techniques is intended for designers, practitioners, managers, institutes involved in design related projects, applied research workers, academics, and graduate students in mechanical and industrial engineering and will be useful to the industrial product designers for realizing a product as it presents new models and optimization techniques to make tasks easier, logical, efficient and effective. .

Hybrid Modeling and Optimization of Manufacturing

Author : Ramón Quiza
Publisher : Springer Science & Business Media
ISBN 13 : 3642280854
Total Pages : 99 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Hybrid Modeling and Optimization of Manufacturing by : Ramón Quiza

Download or read book Hybrid Modeling and Optimization of Manufacturing written by Ramón Quiza and published by Springer Science & Business Media. This book was released on 2012-02-15 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.