Optimization and Management in Manufacturing Engineering, Xinbao Liu; Jun Pei; Lin Liu; Hao Cheng; Mi Zhou;
Автор: Anjos Название: Handbook on Semidefinite, Conic and Polynomial Optimization ISBN: 1461407680 ISBN-13(EAN): 9781461407683 Издательство: Springer Рейтинг: Цена: 163040.00 T Наличие на складе: Есть Описание: Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point methods for linear optimization were extended to solve semidefinite optimization problems. Since the beginning of the 21st century, not only has research into semidefinite and conic optimization continued unabated, but also a fruitful interaction has developed with algebraic geometry through the close connections between semidefinite matrices and polynomial optimization. This has brought about important new results and led to an even higher level of research activity. This Handbook on Semidefinite, Conic and Polynomial Optimization provides the reader with a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization, and polynomial optimization. It contains a compendium of the recent research activity that has taken place in these thrilling areas, and will appeal to doctoral students, young graduates, and experienced researchers alike. The Handbook’s thirty-one chapters are organized into four parts:Theory, covering significant theoretical developments as well as the interactions between conic optimization and polynomial optimization;Algorithms, documenting the directions of current algorithmic development;Software, providing an overview of the state-of-the-art;Applications, dealing with the application areas where semidefinite and conic optimization has made a significant impact in recent years.
Автор: Xinbao Liu; Jun Pei; Lin Liu; Hao Cheng; Mi Zhou; Название: Optimization and Management in Manufacturing Engineering ISBN: 3319645676 ISBN-13(EAN): 9783319645674 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Problems facing manufacturing clusters that intersect information technology, process management, and optimization within the Internet of Things (IoT) are examined in this book.
Автор: Houmin Yan; G. George Yin; Qing Zhang Название: Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queueing Networks, and Manufacturing Systems ISBN: 1441941487 ISBN-13(EAN): 9781441941480 Издательство: Springer Рейтинг: Цена: 153720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It presents recent and pressing issues in stochastic processes, control theory, differential games, optimization, and their applications in finance, manufacturing, queueing networks, and climate control. The book is dedicated to Professor Suresh Sethi on the occasion of his 60th birthday, in view of his distinguished career.
Автор: J. George Shanthikumar; David D. Yao; W.H.M. Zijm Название: Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains ISBN: 1461350441 ISBN-13(EAN): 9781461350446 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes- sor John A.
Автор: Gupta Kapil, Gupta Munish Kumar Название: Optimization of Manufacturing Processes ISBN: 3030196372 ISBN-13(EAN): 9783030196370 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Jes?s M. Vel?squez-Berm?dez; Marzieh Khakifirooz; Название: Large Scale Optimization in Supply Chains and Smart Manufacturing ISBN: 3030227871 ISBN-13(EAN): 9783030227876 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Поставка под заказ. Описание: 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.
Автор: Jes?s M. Vel?squez-Berm?dez; Marzieh Khakifirooz; Название: Large Scale Optimization in Supply Chains and Smart Manufacturing ISBN: 3030227901 ISBN-13(EAN): 9783030227906 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Поставка под заказ.
Автор: R. Venkata Rao Название: Advanced Modeling and Optimization of Manufacturing Processes ISBN: 1447126149 ISBN-13(EAN): 9781447126140 Издательство: Springer Рейтинг: Цена: 174130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presenting both basic and advanced modeling concepts, this volume presents the latest research and development trends in the modeling and optimization of manufacturing processes. Topics include rapid prototyping and tooling, micromachining, nano-finishing, and composites manufacturing.
Автор: Stanley B. Gershwin; Yves Dallery; Chrissoleon T. Название: Analysis and Modeling of Manufacturing Systems ISBN: 1461353548 ISBN-13(EAN): 9781461353546 Издательство: Springer Рейтинг: Цена: 204970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Analysis and Modeling of Manufacturing Systems is a set of papers on some of the newest research and applications of mathematical and computational techniques to manufacturing systems and supply chains.
Автор: Huda, Zainul (department Of Mechanical Engineering Название: Manufacturing ISBN: 1138501360 ISBN-13(EAN): 9781138501362 Издательство: Taylor&Francis Рейтинг: Цена: 188850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This unique book is equally useful to both engineering-degree students and production engineers practicing in industry. The volume is designed to cover three aspects of manufacturing technology: (a) fundamental concepts, (b) engineering analysis/mathematical modeling of manufacturing operations, and (c) 250+ problems and their solutions. These attractive features render this book suitable for recommendation as a textbook for undergraduate as well as Master level programs in Mechanical/Materials/Industrial Engineering. There are 19 chapters in the book; each chapter first introduces readers to the technological importance of chapter-topic and definitions of terms and their explanation; and then the mathematical modeling/engineering analysis of the corresponding manufacturing operation is presented. The meanings of the terms along with their SI units in each mathematical model are clearly stated. There are over 320 mathematical models/equations. The book is divided into three parts. Part One introduces readers to manufacturing and basic manufacturing processes (metal casting, plastic molding, metal forming, ceramic processing, composite processing, heat treatment, surface finishing, welding & joining, and powder metallurgy) and their engineering analysis/mathematical modeling followed by worked examples (solved problem). Part Two covers non-traditional machining and computer aided manufacturing, including their mathematical modeling and the related solved problems. Finally, quality control (QC) and economic aspects of manufacturing are discussed in Part Three.
Features
Presents over 320 mathematical models and 250 worked examples
Covers both conventional and non-traditional manufacturing
Includes design problems and their solutions on engineering manufacturing processes
Special emphasis on casting design and weld design in manufacturing
Offers computer aided manufacturing, quality control, and economics of manufacturing
Автор: Snyman, Jan A, Wilke, Daniel N Название: Practical Mathematical Optimization ISBN: 3319775855 ISBN-13(EAN): 9783319775852 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Поставка под заказ. Описание: This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
Автор: Kaushik Kumar and J. Paulo Davim Название: Optimization using evolutionary algorithms and metaheuristics ISBN: 0367260441 ISBN-13(EAN): 9780367260446 Издательство: Taylor&Francis Рейтинг: Цена: 168430.00 T Наличие на складе: Нет в наличии. Описание: This book covers developments and advances of algorithm based optimization techniques These techniques were only used for non-engineering problems. This book applies them to engineering problems.
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