Optimization of Manufacturing Processes PDF Download

Author: Kapil Gupta
Publisher: Springer
ISBN: 3030196380
Category : Technology & Engineering
Languages : en
Pages : 237

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Book Description
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: R. Venkata Rao
Publisher: Springer Science & Business Media
ISBN: 0857290150
Category : Technology & Engineering
Languages : en
Pages : 388

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Book Description
Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examples of various manufacturing processes to demonstrate advanced modeling and optimization techniques. Both basic and advanced concepts are presented for various manufacturing processes, mathematical models, traditional and non-traditional optimization techniques, and real case studies. The results of the application of the proposed methods are also covered and the book highlights the most useful modeling and optimization strategies for achieving best process performance. In addition to covering the advanced modeling, optimization and environmental aspects of machining processes, Advanced Modeling and Optimization of Manufacturing Processes also covers the latest technological advances, including rapid prototyping and tooling, micromachining, and nano-finishing. Advanced Modeling and Optimization of Manufacturing Processes is written for designers and manufacturing engineers who are responsible for the technical aspects of product realization, as it presents new models and optimization techniques to make their work easier, more efficient, and more effective. It is also a useful text for practitioners, researchers, and advanced students in mechanical, industrial, and manufacturing engineering.

Author: Rhyder
Publisher: CRC Press
ISBN: 9780824799090
Category : Technology & Engineering
Languages : en
Pages : 356

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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: Kalita, Kanak
Publisher: IGI Global
ISBN: 1799872084
Category : Technology & Engineering
Languages : en
Pages : 298

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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: Ganesh M. Kakandikar
Publisher: CRC Press
ISBN: 1000258386
Category : Technology & Engineering
Languages : en
Pages : 279

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Book Description
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.

Author: Joseph Berk
Publisher: John Wiley & Sons
ISBN: 0470643803
Category : Science
Languages : en
Pages : 272

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Book Description
Focuses on rapid implementation of practical, real-world cost reduction solutions In today's economic climate, the need to cut costs can be the difference between success and failure. Cost Reduction and Optimization for Manufacturing and Industrial Companies covers all major cost reduction areas, providing easy to read examples and advice on steps to take. It provides the roadmap for implementing recommended actions with true and tried methods by taking a modern, all-inclusive look at manufacturing processes. Based on the author's cost reduction experience gained during 30 years of senior operations and consulting engagements with hundreds of organizations, this book includes easy-to-understand and easy-to-implement cost reduction concepts organized into five general areas --labor, material, design, process, and overhead. Each chapter: Dives into a cost reduction area and starts with the bottom line first by summarizing key points Provides proven tactics for cutting costs without a lot of extraneous data Follows a qualitative and design-oriented approach Emphasizes quick implementation and measurable cost reduction Identifies who in the organization should do the work Outlines risks and suggested risk mitigation actions Contains numerous tables, graphs, and photos to show the concepts described in the book Praise for Cost Reduction and Optimization for Manufacturing and Industrial Companies "In this introductory book, Berk not only takes a modern, all-inclusive look at manufacturing processes but also provides substantial coverage of engineering materials and production systems. It follows a more qualitative and design-oriented approach than other texts in the market, helping readers gain a better understanding of important concepts. They'll also discover how micro-economic conditions relate to the process variables in a given process as well as how to perform manufacturing science and quantitative engineering analysis of manufacturing processes." —Fred Silverman, Director Engineering of Hi-Shear Technology Corporation "Joe Berk has created a unique, practical and straightforward approach to cost reduction in manufacturing. This work provides valuable insights and concrete techniques, based on real-world experiences, to any manufacturing organization undertaking change to position itself to compete successfully in the global marketplace." —Joe Carleone, President and COO of American Pacific Corporation Check out author Joseph Berk's blog at http://manufacturingtraining.wordpress.com/

Author: Farayi Musharavati
Publisher: Universal-Publishers
ISBN: 1599423596
Category : Technology & Engineering
Languages : en
Pages : 200

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Book Description
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: Enrique del Castillo
Publisher: Springer Science & Business Media
ISBN: 0387714359
Category : Mathematics
Languages : en
Pages : 462

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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: Rajendran Saravanan
Publisher: CRC Press
ISBN: 9780824726799
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
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: Daniel T. Koenig
Publisher: CRC Press
ISBN: 9781560323013
Category : Technology & Engineering
Languages : en
Pages : 444

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Book Description
Offers instruction in manufacturing engineering management strategies to help the student optimize future manufacturing processes and procedures. This edition includes innovations that have changed management's approach toward the uses of manufacturing engineering within the business continuum.