Advances In Modelling And Optimization Of Manufacturing And Industrial Systems PDF Download
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| Author | : Ravi Pratap Singh |
| Publisher | : Springer Nature |
| Total Pages | : 731 |
| Release | : 2023-03-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9811961077 |
Download Advances in Modelling and Optimization of Manufacturing and Industrial Systems Book in PDF, ePub and Kindle
This book presents select proceedings of the 2nd International Conference on Industrial and Manufacturing Systems (CIMS 2021) and discusses the applications of soft computing, modelling and optimization practices in industrial and manufacturing systems. Various topics covered in this book include advanced machining methods and performances, industrial operations, processing with hybrid manufacturing techniques, fabrication and developments in micro-machining and its applications, practical issues in supply chain, micro-structure analysis, additive manufacturing processes, reliability and system analysis, material science and metallurgical behaviour analysis, product design and development, etc. The book will be a valuable reference for beginners, researchers, and professionals interested in the modelling, optimization and soft computing related aspects of industrial and production engineering and its allied domains.
| Author | : Ganesh M. Kakandikar |
| Publisher | : CRC Press |
| Total Pages | : 279 |
| Release | : 2020-12-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1000258386 |
Download Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems Book in PDF, ePub and Kindle
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 | : 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 | : Shailendra Kumar |
| Publisher | : Springer Nature |
| Total Pages | : 830 |
| Release | : 2022-04-21 |
| Genre | : Technology & Engineering |
| ISBN | : 9811699526 |
Download Recent Advances in Manufacturing Modelling and Optimization Book in PDF, ePub and Kindle
This book presents the selected proceedings of 2nd International Conference on Recent Advances in Manufacturing (RAM 2021). The book provides insights to current research trends and opportunities in modelling and optimization of manufacturing processes and systems. The topics covered include modelling analysis, computing and simulation, traditional and non-traditional optimization techniques, surface coating methods, additive manufacturing processes, CAD/CAM, robotics and automation, welding and joining processes, supply chain management and CAE and reverse engineering. This book will be a good reference for beginners, researchers and professionals interested in modelling and optimization related to manufacturing engineering and related fields.
| Author | : R. Venkata Rao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 388 |
| Release | : 2010-12-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0857290150 |
Download Advanced Modeling and Optimization of Manufacturing Processes Book in PDF, ePub and Kindle
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 | : Andrea Matta |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 296 |
| Release | : 2005-04-25 |
| Genre | : Business & Economics |
| ISBN | : 9781402029301 |
Download Design of Advanced Manufacturing Systems Book in PDF, ePub and Kindle
This book presents a framework and specific methods and tools for the selection and configuration of the capacity of Advanced Manufacturing Systems (AMS). AMS include Flexible Manufacturing Systems, Dedicated Manufacturing Systems, and Reconfigurable Manufacturing Systems. Starting from the characteristic of the competitive environment, the directions given by the company strategy, data regarding the products, and information regarding the different system architectures, the decision support system described here aids the decision maker by means of a formalized methodology that follows the various steps required to define the type and timing of 'capacity' acquisition and to define the detailed configuration of AMS along its life cycle. The decision making framework and tools illustrated in this volume combine decision-making theory, optimization theory, discrete event simulation and queuing networks. It will be of interest to graduate students and researchers involved in manufacturing engineering, industrial engineering and operations research.
| Author | : A Villa |
| Publisher | : CRC Press |
| Total Pages | : 426 |
| Release | : 1995-09-19 |
| Genre | : Mathematics |
| ISBN | : 9780849383328 |
Download Advanced Models for Manufacturing Systems Management Book in PDF, ePub and Kindle
This book presents the mathematical models applicable to manufacturing systems management, covering problems from production to real time control. It explores manufacturing systems from the viewpoints of both physical structure and performance measures. Two broad classes of mathematical models are covered in detail: Generative models, which yield a set of decision variables optimizing a performance measure, based on mathematical optimization Evaluative models, which evaluate some performance measures as a function of some predefined decision strategy. Within this class Petri Nets and Queueing Networks are discussed. Advanced Models for Manufacturing Systems Management describes dynamic systems modeling by state equations, a unifying framework for a wide variety of models. The text/reference stresses model building, but it examines model solving as well. Computational techniques are illustrated, such as linear programming, branch and bound methods, and dynamic programming. Particular emphasis is given to the development of heuristic methods from mathematical models. The book provides readers with valuable tools for management and design. The use of descriptive models within an optimization algorithm is considered. Numerous examples illustrate theoretical concepts throughout text. Appendices are given at the end of the book in order to recall fundamentals, such as linear programming and graph theory. Appendices also appear within each chapter. In this way, readers can follow the main reading path without getting involved with details; these appendices can be read at a later time. This textual structure makes this book particularly well suited for self-study. Advanced Models for Manufacturing Systems Management is beneficial reading for both students and practitioners.
| Author | : Catalin I. Pruncu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 336 |
| Release | : 2021-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3527825223 |
Download Modeling and Optimization in Manufacturing Book in PDF, ePub and Kindle
Discover the state-of-the-art in multiscale modeling and optimization in manufacturing from two leading voices in the field Modeling and Optimization in Manufacturing delivers a comprehensive approach to various manufacturing processes and shows readers how multiscale modeling and optimization processes help improve upon them. The book elaborates on the foundations and applications of computational modeling and optimization processes, as well as recent developments in the field. It offers discussions of manufacturing processes, including forming, machining, casting, joining, coating, and additive manufacturing, and how computer simulations have influenced their development. Examples for each category of manufacturing are provided in the text, and industrial applications are described for the reader. The distinguished authors also provide an insightful perspective on likely future trends and developments in manufacturing modeling and optimization, including the use of large materials databases and machine learning. Readers will also benefit from the inclusion of: A thorough introduction to the origins of manufacturing, the history of traditional and advanced manufacturing, and recent progress in manufacturing An exploration of advanced manufacturing and the environmental impact and significance of manufacturing Practical discussions of the economic importance of advanced manufacturing An examination of the sustainability of advanced manufacturing, and developing and future trends in manufacturing Perfect for materials scientists, mechanical engineers, and process engineers, Modeling and Optimization in Manufacturing will also earn a place in the libraries of engineering scientists in industries seeking a one-stop reference on multiscale modeling and optimization in manufacturing.
| Author | : VISWANADHAM, N. |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 608 |
| Release | : 2015-06-01 |
| Genre | : Technology & Engineering |
| ISBN | : 8120308700 |
Download PERFORMANCE MODELING OF AUTOMATED SYSTEMS Book in PDF, ePub and Kindle
The text is designed for engineering students at the senior undergraduate level and first-year students at graduate level, and professionals (R&D engineers in the industry and factory managers). The authors offer a unique effort in presenting a unified and systematic treatment of various modeling methodologies and analysis techniques for performance evaluation of automated manufacturing systems. The text begins with an overview of automated manufacturing systems, and then provides a clear and comprehensive discussion of three principal analytical modeling paradigms: Markov Chains, Queues and Queuing Networks, and Petri Nets. Salient Features • Present the first ever treatment of the mathematical modeling of manufacturing systems. • Offers a unified study of principal analytical modeling paradigms for automated manufacturing systems. • Discusses many recent research contributions in the area of modeling of automated manufacturing systems. • Discusses many recent research contributions in the area of modeling of automated manufacturing systems, including deadlock modeling, transient analysis, queuing network approximations, Petri Net modeling, and integrated analytical modeling. • Provides a large number of exercises and problems.
| Author | : George Liberopoulos |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 363 |
| Release | : 2005-12-12 |
| Genre | : Business & Economics |
| ISBN | : 3540290575 |
Download Stochastic Modeling of Manufacturing Systems Book in PDF, ePub and Kindle
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
