Intelligent Systems in Design and Manufacturing

Intelligent Systems in Design and Manufacturing
Author: Cihan H. Dagli,Andrew Kusiak
Publsiher: American Society of Mechanical Engineers
Total Pages: 512
Release: 1994
Genre: Computers
ISBN: UOM:39015032961974

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Focuses on solutions to problems in design and manufacturing engineering, presenting a variety of problem solving approaches and practical examples. Covers neural networks and other artificial intelligence tools, computational models for conceptual design, desirable functionalities of intelligent CA

Intelligent Systems in Production Engineering and Maintenance

Intelligent Systems in Production Engineering and Maintenance
Author: Anna Burduk,Edward Chlebus,Tomasz Nowakowski,Agnieszka Tubis
Publsiher: Springer
Total Pages: 785
Release: 2018-07-31
Genre: Technology & Engineering
ISBN: 9783319974903

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The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Artificial Neural Networks for Intelligent Manufacturing

Artificial Neural Networks for Intelligent Manufacturing
Author: C.H. Dagli
Publsiher: Springer Science & Business Media
Total Pages: 474
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 9789401107136

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The quest for building systems that can function automatically has attracted a lot of attention over the centuries and created continuous research activities. As users of these systems we have never been satisfied, and demand more from the artifacts that are designed and manufactured. The current trend is to build autonomous systems that can adapt to changes in their environment. While there is a lot to be done before we reach this point, it is not possible to separate manufacturing systems from this trend. The desire to achieve fully automated manufacturing systems is here to stay. Manufacturing systems of the twenty-first century will demand more flexibility in product design, process planning, scheduling and process control. This may well be achieved through integrated software and hardware archi tectures that generate current decisions based on information collected from manufacturing systems environment, and execute these decisions by converting them into signals transferred through communication network. Manufacturing technology has not yet reached this state. However, the urge for achieving this goal is transferred into the term 'Intelligent Systems' that we started to use more in late 1980s. Knowledge-based systems, our first efforts in this endeavor, were not sufficient to generate the 'Intelligence' required - our quest still continues. Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.

Intelligent Systems for Manufacturing

Intelligent Systems for Manufacturing
Author: Luis M. Camarinha-Matos,Hamideh Afsarmanesh
Publsiher: Springer
Total Pages: 634
Release: 2013-06-29
Genre: Computers
ISBN: 9780387353906

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Towards Intelligent Manufacturing Systems This book contains the selected articles from the third International Conference on lriformation Technology for Balanced Automation Systems in Manufacturing. A rapid evolution in a number of areas leading to Intelligent Manufacturing Systems has been observ@d in recent years. Significant efforts are being spent on this research area, namely in terms of international cooperative projects, like the IMS initiative, the USA NIIIP (National Industrial Information Infrastructure Protocols) project, or the European ESPRIT programme, and a growing number of conferences and workshops. The importance of the Information and Communication Technologies in the manufacturing area is weIl established today. The proper combination of these areas with the socio-organizational issues, supported by intelligent tools, is however, more difficult to achieve, and fully justifies the need for the BASYS conference and the publication of the series of books on Balanced Automation SyStems. The first book of this series focused on the topic of "Architectures and Design Methods", was published in 1995. Mahy of the fundamental aspects of manufacturing, and some preliminary results were presented in this book. Among others, the topics included: Modeling and design of FMS, Enterprise modeling and organization, Decision support systems in manufacturing, Anthropocentric systems, CAE/CAD/CAM integration, Scheduling systems, Extended enterprises, Multi agent system architecture, Balanced flexibility, Intelligent supervision systems, Shop-floor control, and Computer aided process planning.

Manufacturing Intelligence for Industrial Engineering Methods for System Self Organization Learning and Adaptation

Manufacturing Intelligence for Industrial Engineering  Methods for System Self Organization  Learning  and Adaptation
Author: Zhou, Zude,Wang, Huaiqing,Lou, Ping
Publsiher: IGI Global
Total Pages: 407
Release: 2010-03-31
Genre: Computers
ISBN: 9781605668659

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"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Integrated Distributed Intelligent Systems in Manufacturing

Integrated Distributed Intelligent Systems in Manufacturing
Author: M. Rao,Qun Wang,Jianzhong Cha
Publsiher: Springer Science & Business Media
Total Pages: 338
Release: 1993-07-31
Genre: Computers
ISBN: 0412543702

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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.

Intelligent Production Machines and Systems 2nd I PROMS Virtual International Conference 3 14 July 2006

Intelligent Production Machines and Systems   2nd I PROMS Virtual International Conference 3 14 July 2006
Author: Duc T. Pham,Eldaw E. Eldukhri,Anthony J. Soroka
Publsiher: Elsevier
Total Pages: 688
Release: 2011-07-28
Genre: Technology & Engineering
ISBN: 9780080556345

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I*PROMS 2005 is an online web-based conference. It provides a platform for presenting, discussing, and disseminating research results contributed by scientists and industrial practitioners active in the area of intelligent systems and soft computing techniques (such as fuzzy logic, neural networks, evolutionary algorithms, and knowledge-based systems) and their application in different areas of manufacturing. Comprised of 100 peer-reviewed articles, this important resource provides tools to help enterprises achieve goals critical to the future of manufacturing. I*PROMS is an European Union-funded network that involves 30 partner organizations and more than 130 researchers from universities, research organizations, and corporations. * State-of-the-art research results * Leading European researchers and industrial practitioners * Comprehensive collection of indexed and peer-reviewed articles in book format supported by a user-friendly full-text CD-ROM with search functionality

Intelligent Systems and Machine Learning for Industry

Intelligent Systems and Machine Learning for Industry
Author: P. R Anisha,C. Kishor Kumar Reddy,Nhu Gia Nguyen,Megha Bhushan,Ashok Kumar,Marlia Mohd Hanafiah
Publsiher: CRC Press
Total Pages: 362
Release: 2022-12-21
Genre: Computers
ISBN: 9781000828832

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The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: • Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. • Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. • Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. • Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. • Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. • Discusses a systematic and exhaustive analysis of intelligent software effort estimation models. It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.