Artificial Intelligence In Manufacturing

Author : A. Fazel Famili,Dana S. Nau,Steven H. Kim
Publisher : Menlo Press, Calif. : AAAI Press/MIT Press
Page : 486 pages
File Size : 55,5 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015023869285

Get Book

Artificial Intelligence Applications in Manufacturing by A. Fazel Famili,Dana S. Nau,Steven H. Kim Pdf

The past decade has seen considerable advances in CAE tools that employ leading-edge artificial intelligence techniques and that can be used with CAD/CAM tools to reduce design costs. In three parts, this book covers current Al applications that can prove beneficial in the design and planning stages of manufacturing, that can assist in solving scheduling and control problems, and that can be used in manufacturing integration.A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Steven H. Kim is Visiting Fellow at the Design Research Institute, Cornell University. Dana S. Nau an Associate Professor in the Computer Science Department at the University of Maryland.Contents: Application of Machine Learning to Industrial Planning and Decision Making. Incorporating Special Purpose Resource Design in Planning to Make More Efficient Plans. Geometric Reasoning Using a Feature Algebra. Backward Assembly Planning Symmetry Groups in Solid Model-Based Assembly Planning. An Expert System Approach for Economic Evaluation of Machining Operation Planning. Interactive Problem Solving for Production Planning. An Abstraction-Based Search and Learning Approach for Effective Scheduling. ADDYMS: Architecture for Distributed Dynamic Manufacturing Scheduling. An Architecture for Real Time Distributed Scheduling. Teamwork Among Intelligent Agents: Framework and Case Study in Robotic Service. Exploiting Local Flexibility During Execution of Precomputed Schedules. Symbolic Representation and Planning for Robot Control Systems in Manufacturing. An Architecture for Integrating Enterprise Automation. An Intelligent Agent Framework for Enterprise Integration. Integrated Software System for Intelligent Manufacturing. Enterprise Management Network Architecture: A Tool for Manufacturing Enterprise Integration. Design and Manufacturing: Integration through Quality.

Author : J. Paulo Davim
Publisher : Nova Science Publishers
Page : 0 pages
File Size : 46,9 Mb
Release : 2013
Category : Artificial intelligence
ISBN : 1626185573

Get Book

Artificial Intelligence in Manufacturing Research by J. Paulo Davim Pdf

Artificial intelligence is a sub-field of computer science concerned with understanding the nature of intelligence and constructing computer systems capable of intelligent action. This book aims to provide the research and review studies on artificial intelligence in manufacturing.

Author : Salunkhe, Sachin,Hussein, Hussein Mohammed Abdel Moneam,Davim, J. Paulo
Publisher : IGI Global
Page : 240 pages
File Size : 46,7 Mb
Release : 2021-12-31
Category : Technology & Engineering
ISBN : 9781799885184

Get Book

Applications of Artificial Intelligence in Additive Manufacturing by Salunkhe, Sachin,Hussein, Hussein Mohammed Abdel Moneam,Davim, J. Paulo Pdf

After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.

Author : Sambit Kumar Mishra,Zdzislaw Polkowski,Samarjeet Borah,Ritesh Dash
Publisher : CRC Press
Page : 168 pages
File Size : 49,5 Mb
Release : 2020-10-20
Category : Technology & Engineering
ISBN : 9781000171891

Get Book

AI in Manufacturing and Green Technology by Sambit Kumar Mishra,Zdzislaw Polkowski,Samarjeet Borah,Ritesh Dash Pdf

This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.

Author : Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publisher : CRC Press
Page : 156 pages
File Size : 48,5 Mb
Release : 2021-06-21
Category : Computers
ISBN : 9781000396935

Get Book

Artificial Intelligence in Mechanical and Industrial Engineering by Kaushik Kumar,Divya Zindani,J. Paulo Davim Pdf

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

Author : Kaushik Kumar,Ganesh M. Kakandikar,J. Paulo Davim
Publisher : Woodhead Publishing
Page : 226 pages
File Size : 46,7 Mb
Release : 2022-05-28
Category : Computers
ISBN : 9780323918558

Get Book

Computational Intelligence in Manufacturing by Kaushik Kumar,Ganesh M. Kakandikar,J. Paulo Davim Pdf

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 : Richard Kendall Miller,Terri C. Walker
Publisher : Unknown
Page : 384 pages
File Size : 43,8 Mb
Release : 1988
Category : Artificial intelligence
ISBN : UOM:39015013833630

Get Book

Artificial Intelligence Applications in Manufacturing by Richard Kendall Miller,Terri C. Walker Pdf

Author : Geeta Rana
Publisher : CRC Press
Page : 253 pages
File Size : 40,5 Mb
Release : 2021-12
Category : Artificial intelligence
ISBN : 036770210X

Get Book

Reinventing Manufacturing and Business Processes Through Artificial Intelligence by Geeta Rana Pdf

"This book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers"--

Author : Aboul Ella Hassanien,Jyotir Moy Chatterjee,Vishal Jain
Publisher : Academic Press
Page : 264 pages
File Size : 51,6 Mb
Release : 2022-08-14
Category : Technology & Engineering
ISBN : 9780323906395

Get Book

Artificial Intelligence and Industry 4.0 by Aboul Ella Hassanien,Jyotir Moy Chatterjee,Vishal Jain Pdf

Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions

Author : Greg Shaw
Publisher : Unknown
Page : 140 pages
File Size : 40,6 Mb
Release : 2019-07-05
Category : Electronic
ISBN : 1074042069

Get Book

The Future Computed: AI and Manufacturing by Greg Shaw Pdf

The sector that led the first and second industrial revolutions is again at the forefront of adopting new technologies to raise productivity, reinvent business processes and create safer work environments. The Future Computed: AI and Manufacturing shares insights from leading companies, policy makers, and labor representatives on how AI is reshaping the marketplace, the workplace and the workforce. The second in Microsoft's Future Computed series, this new book sets out options for governments and industry to enable a competitive manufacturing sector, deliver AI in an ethical way and build a sustainable talent supply chain. The book looks at the digital and cultural transformation that AI is ushering in for manufacturers while offering some policy considerations to foster responsible innovation, improve worker safety, enhance job creation and drive national competitiveness.

Author : John Soldatos
Publisher : Springer
Page : 0 pages
File Size : 42,7 Mb
Release : 2024-01-03
Category : Technology & Engineering
ISBN : 3031464516

Get Book

Artificial Intelligence in Manufacturing by John Soldatos Pdf

This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book.

Author : Alexiei Dingli,Foaad Haddod,Christina Klüver
Publisher : Springer Nature
Page : 248 pages
File Size : 40,5 Mb
Release : 2021-02-27
Category : Technology & Engineering
ISBN : 9783030610456

Get Book

Artificial Intelligence in Industry 4.0 by Alexiei Dingli,Foaad Haddod,Christina Klüver Pdf

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

Author : Max Hoffmann
Publisher : Springer Nature
Page : 318 pages
File Size : 43,9 Mb
Release : 2019-09-11
Category : Computers
ISBN : 9783658277420

Get Book

Smart Agents for the Industry 4.0 by Max Hoffmann Pdf

Max Hoffmann describes the realization of a framework that enables autonomous decision-making in industrial manufacturing processes by means of multi-agent systems and the OPC UA meta-modeling standard. The integration of communication patterns and SOA with grown manufacturing systems enables an upgrade of legacy environments in terms of Industry 4.0 related technologies. The added value of the derived solutions are validated through an industrial use case and verified by the development of a demonstrator that includes elements of self-optimization through Machine Learning and communication with high-level planning systems such as ERP. About the Author: Dr.-Ing. Max Hoffmann is a scientific researcher at the Institute of Information Management in Mechanical Engineering, RWTH Aachen University, Germany, and leads the group “Industrial Big Data”. His research emphasizes on production optimization by means of data integration through interoperability and communication standards for industrial manufacturing and integrated analysis by using Machine Learning and stream-based information processing.

Author : Ovidiu Vermesan
Publisher : CRC Press
Page : 435 pages
File Size : 41,6 Mb
Release : 2022-09-01
Category : Medical
ISBN : 9781000794311

Get Book

Artificial Intelligence for Digitising Industry – Applications by Ovidiu Vermesan Pdf

This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.

Author : C.H. Dagli
Publisher : Springer Science & Business Media
Page : 474 pages
File Size : 41,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401107136

Get Book

Artificial Neural Networks for Intelligent Manufacturing by C.H. Dagli Pdf

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.