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Author : Kesheng Wang
Publisher : Unknown
Page : 454 pages
File Size : 48,9 Mb
Release : 2005-01-01
Category : Computational intelligence
ISBN : 0975100491
Author : Andrew Kusiak
Publisher : Unknown
Page : 472 pages
File Size : 48,8 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015018499676
Author : Oscar Castillo,Patricia Melin
Publisher : Physica
Page : 291 pages
File Size : 50,7 Mb
Release : 2012-08-11
Category : Computers
ISBN : 9783790817669
We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.
Author : Kaushik Kumar,Ganesh M. Kakandikar,J. Paulo Davim
Publisher : Woodhead Publishing
Page : 226 pages
File Size : 40,9 Mb
Release : 2022-05-28
Category : Computers
ISBN : 9780323918558
Computational Intelligence in Manufacturing addresses applications of AI, machine learning and other innovative computational techniques across the manufacturing supply chain. The rapid development of smart or digital manufacturing known as Industry 4.0 has swiftly provided a large number of opportunities for product and manufacturing process improvement. Selecting the appropriate technologies and combining them successfully is a challenge this book helps readers overcome . It explains how to prepare different manufacturing cells for flexibility and enhanced productivity with better supply chain management, e.g., calibrating design machine tools for automation and agility. Computational intelligence applications for non-conventional manufacturing processes such as ECM and EDM are covered alongside recent advances in traditional processes like casting, welding and metal forming. As well as describing specific applications, this practical guide also explains the computational intelligence paradigm for enhanced supply chain management. Includes hot topics such as augmented and virtual reality applications in manufacturing Provides details of computational techniques, such as nature inspired algorithms for manufacturing process modeling Gives practical technical advice on how to calibrate processes and tools to work efficiently in an industry 4.0 system
Author : M. Rao,Qun Wang,Jianzhong Cha
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 55,9 Mb
Release : 1993-07-31
Category : Computers
ISBN : 0412543702
Intelligent Manufacturing is a new disciplinary field which applies computer science, artificial intelligence, mechanical engineering and systems science to industrial manufacturing processes. This book presents a new integration architecture for implementing real-time distributed intelligent manufacturing systems.
Author : Mohammed Jamshidi,Hamid R. Parsaei
Publisher : Pearson Education
Page : 451 pages
File Size : 55,9 Mb
Release : 1995-05-24
Category : Technology & Engineering
ISBN : 9780132442077
The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.
Author : Arturo Molina,Pedro Ponce,Jhonattan Miranda,Daniel Cortés
Publisher : Springer Nature
Page : 394 pages
File Size : 40,5 Mb
Release : 2021-02-08
Category : Technology & Engineering
ISBN : 9783030655471
This book introduces the concept of sensing, smart and sustainable systems (S3 systems) to support the design and redesign of products, services, business and manufacturing processes, manufacturing systems, and enterprises. The concept of S3 systems theory is introduced and explained in detail to support designers and engineers in their development task. This approach is embraced in the implementation of emergent Information and communication technologies and artificial intelligence techniques. The text helps the reader to understand the relationship between intelligent manufacturing, S3 systems and Industry 4.0. It presents a review of current approaches to design and development of technology-based products. Finally, it enlarges on the sensing, smart and sustainable systems theory to give examples of S3 systems as case studies.
Author : Oyekanlu, Emmanuel
Publisher : IGI Global
Page : 394 pages
File Size : 51,8 Mb
Release : 2023-04-03
Category : Computers
ISBN : 9781799878544
In the past decade, artificial intelligence (AI), data analytics, and multimedia technology methods for integrating cyber-physical systems (CPS), smart manufacturing, and Industry 4.0 applications in the manufacturing industries have been steadily growing in availability. However, for industrial leaders, finding applicable, cost effective, and readily implementable multimedia, AI, and data analytics methods for industrial applications remains a daunting, laborious, and very expensive endeavor since the ecosystem of these technologies keeps diverging. Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications provides a review of the state of the art regarding the integration of AI and multimedia technologies for smart manufacturing applications. It conducts a cost-benefit analysis regarding the benefits of the integration of specific AI and multimedia technologies in specific industrial manufacturing applications. Covering topics such as cognitive lead measurement, nonlinear filtering methods, and global product development, this premier reference source is a dynamic resource for business executives and managers, entrepreneurs, IT professionals, manufacturers, students and faculty of higher education, researchers, and academicians.
Author : Tatjana Sibalija,J. Paulo Davim
Publisher : Walter de Gruyter GmbH & Co KG
Page : 291 pages
File Size : 53,8 Mb
Release : 2021-12-06
Category : Technology & Engineering
ISBN : 9783110693225
This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.
Author : Andrew Kusiak
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 48,9 Mb
Release : 2000-05-22
Category : Technology & Engineering
ISBN : 0471348791
Von der Produktidee über den Prototyp und die Modellsimulation bis zur Analyse: Dieser Band hilft Entwicklern und Designern beim Verständnis aller Abläufe im Zuge des Designs neuer Produkte, Prozesse und Systeme. Eine Fülle von Beispielen industrieller Anwendungen, realer Probleme und zugehöriger Lösungen hilft beim Vertiefen und Umsetzen des Stoffes. (05/00)
Author : Kamalakanta Muduli,V. P. Kommula,Devendra K. Yadav,M. Chithirai Pon Selvan,Jayakrishna Kandasamy
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 40,5 Mb
Release : 2023-05-31
Category : Technology & Engineering
ISBN : 9781119836247
INTRELLIGENT MANUFACTURING MANAGEMENT SYSTEMS The book explores the latest manufacturing techniques in relation to AI and evolutionary algorithms that can monitor and control the manufacturing environment. The concepts that pertain to the application of digital evolutionary technologies in the sphere of industrial engineering and manufacturing are presented in this book. A few chapters demonstrate stepwise discussion, case studies, structured literature review, rigorous experimentation results, and applications. Further chapters address the challenges encountered by industries in integrating these digital technologies into their operational activities, as well as the opportunities for this integration. In addition, the reader will find: Systemic explanations of the unique characteristics of big data, cloud computing, and AI used for decision-making in intelligent production systems; Highlights of the current and highly relevant topics in manufacturing management; Structured presentations resolving the issues being faced by many real-world applications in a broad range of areas such as smart supply chains, knowledge management, intelligent inventory management, IoT adoption in manufacturing management, and more; Intelligent techniques for sustainable practices in industrial waste management. Audience The book will be used by researchers, industry engineers, and data scientists/AI specialists working in industrial engineering, mechanical engineering, production engineering, manufacturing engineering, and operations and supply chain management. The book will also be valuable to the service sector industry, such as logistics and those implementing smart cities.
Author : Been-Chian Chien,Tzung-Pei Hong
Publisher : Springer
Page : 344 pages
File Size : 42,7 Mb
Release : 2009-05-12
Category : Technology & Engineering
ISBN : 9783540928140
The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.
Author : Kesheng Wang,George L. Kovacs,Michael Wozny,Minglun Fang
Publisher : Springer
Page : 1046 pages
File Size : 44,8 Mb
Release : 2016-10-25
Category : Business & Economics
ISBN : 1489977643
This volume contains the edited technical presentations of PROLMAT 2006, the IFIP TC5 international conference held on June 15-17, 2006 at the Shanghai University in China. The papers collected here concentrate on knowledge strategies in Product Life Cycle and bring together researchers and industrialists with the objective of reaching a mutual understanding of the scientific - industry dichotomy, while facilitating the transfer of core research knowledge to core industrial competencies.
Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 53,7 Mb
Release : 2012-04-23
Category : Technology & Engineering
ISBN : 9783642289569
This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.
Author : . Hamid R. Parsaei - University of Louisville,Mohammad Jamshidi,H. R. Parsaei
Publisher : Unknown
Page : 390 pages
File Size : 47,6 Mb
Release : 1995
Category : CAD/CAM systems
ISBN : 0132442736