Participation Based Intelligent Manufacturing
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Participation Based Intelligent Manufacturing
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Author : Birutė Mockevičienė
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-12-06
Participation Based Intelligent Manufacturing written by Birutė Mockevičienė and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Business & Economics categories.
Presenting ready-to-use, innovative solutions based on scientific evidence, Birutė Mockevičienė has designed this decade’s essential guide for navigating, streamlining and revitalising the industrial field.
Machine Learning Adoption In Blockchain Based Intelligent Manufacturing
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Author : Om Prakash Jena
language : en
Publisher: CRC Press
Release Date : 2022-06-22
Machine Learning Adoption In Blockchain Based Intelligent Manufacturing written by Om Prakash Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-22 with Technology & Engineering categories.
This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities. Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers. Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure Covers the effects that the 4th Industrial Revolution has on industrial infrastructures Looks at industry change patterns and innovations that are speeding up industrial transformation activities
Human Centric Smart Manufacturing Towards Industry 5 0
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Author : Baicun Wang
language : en
Publisher: Springer Nature
Release Date : 2025-05-13
Human Centric Smart Manufacturing Towards Industry 5 0 written by Baicun Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Technology & Engineering categories.
This book presents a set of innovative solutions to human-centric manufacturing systems, offering critical insights and comprehensive application guidelines for understanding how to realize human-centric smart manufacturing by exerting its power and influence towards Industry 5.0. While human-centric manufacturing possesses a substantial and growing body of knowledge, there are distinct research gaps that are not sufficiently addressed. With the development of enabling technologies, it is necessary to propose more precise, robust, and practical approaches in support of smart manufacturing towards Industry 5.0. As a response to the new research opportunities, this book presents and highlights the latest development on applying advanced techniques in human-centric manufacturing. The book will be of interest to a broad readership, from academic researchers to practicing engineers
Intelligent Manufacturing And Industry 4 0
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Author : Alka Chaudhary
language : en
Publisher: CRC Press
Release Date : 2024-11-27
Intelligent Manufacturing And Industry 4 0 written by Alka Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.
The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing flexibility, as well as widespread customization and improved quality with the help of advanced and smart technologies. It describes cyber-physical systems and the whole product life cycle along with a variety of smart sensors, adaptive decision models, high-end materials, smart devices, and data analytics. Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities focuses on Intelligent Manufacturing and the design of smart devices and products that meet the demand of Industry 4.0, manufacturing and cyber-physical systems, along with real-time data analytics for Intelligent Manufacturing. The usage of advanced smart and sensing technologies in Intelligent Manufacturing for healthcare solutions is discussed as well. Popular use cases and case studies related to Intelligent Manufacturing are addressed to provide a better understanding of this topic. This publication is ideally designed for use by technology development practitioners, academicians, data scientists, industry professionals, researchers, and students interested in uncovering the latest innovations in the field of Intelligent Manufacturing. Features: Presents cutting-edge manufacturing technologies and information to maximise product exchanges and production Discusses the improvement in service quality, product quality, and production effectiveness Conveys how a manufacturing company's competitiveness can increase if it can manage the turbulence and changes in the global market Presents how intelligence production is essential in Industry 4.0 and how Industry 4.0 offers greater manufacturing flexibility, as well as widespread customisation, improved quality, and increased productivity Covers the ways businesses handle the challenges of generating an increasing number of customised items with quick time to market and greater quality Includes popular use cases and case studies related to intelligent manufacturing to provide a better understanding of this discipline
Advances In Production Management Systems Smart Manufacturing For Industry 4 0
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Author : Ilkyeong Moon
language : en
Publisher: Springer
Release Date : 2018-08-24
Advances In Production Management Systems Smart Manufacturing For Industry 4 0 written by Ilkyeong Moon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-24 with Computers categories.
The two-volume set IFIP AICT 535 and 536 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2018, held in Seoul, South Korea, in August 2018. The 129 revised full papers presented were carefully reviewed and selected from 149 submissions. They are organized in the following topical sections: lean and green manufacturing; operations management in engineer-to-order manufacturing; product-service systems, customer-driven innovation and value co-creation; collaborative networks; smart production for mass customization; global supply chain management; knowledge based production planning and control; knowledge based engineering; intelligent diagnostics and maintenance solutions for smart manufacturing; service engineering based on smart manufacturing capabilities; smart city interoperability and cross-platform implementation; manufacturing performance management in smart factories; industry 4.0 - digitaltwin; industry 4.0 - smart factory; and industry 4.0 - collaborative cyber-physical production and human systems.
Ontology Based Development Of Industry 4 0 And 5 0 Solutions For Smart Manufacturing And Production
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Author : János Abonyi
language : en
Publisher: Springer Nature
Release Date : 2024-01-01
Ontology Based Development Of Industry 4 0 And 5 0 Solutions For Smart Manufacturing And Production written by János Abonyi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-01 with Technology & Engineering categories.
This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information management being critical to successful manufacturing processes, this book emphasizes the importance of adequate modeling and systematic analysis of interacting elements in the era of smart manufacturing. The book provides an extensive overview of semantic technologies and their potential to integrate with existing industrial standards, planning, and execution systems to provide efficient data processing and analysis. It also investigates the design of Industry 5.0 solutions and the need for problem-specific descriptions of production processes, operator skills and states, and sensor monitoring in intelligent spaces. The book proposes that ontology-based data can efficiently represent enterprise and manufacturing datasets. The book is divided into two parts: modelingand optimization. The semantic modeling part provides an overview of ontologies and knowledge graphs that can be used to create Industry 4.0 and 5.0 applications, with two detailed applications presented on a reproducible industrial case study. The optimization part of the book focuses on network science-based process optimization and presents various detailed applications, such as graph-based analytics, assembly line balancing, and community detection. The book is based on six key points: the need for horizontal and vertical integration in modern industry; the potential benefits of integrating semantic technologies into ERP and MES systems; the importance of optimization methods in Industry 4.0 and 5.0 concepts; the need to process large amounts of data while ensuring interoperability and re-usability factors; the potential for digital twin models to model smart factories, including big data access; and the need to integrate human factors in CPSs and provide adequate methods tofacilitate collaboration and support shop floor workers.
Sustainable Design And Manufacturing
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Author : Steffen G. Scholz
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Sustainable Design And Manufacturing written by Steffen G. Scholz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Technology & Engineering categories.
The book consists of peer-reviewed papers presented at the International Conference on Sustainable Design and Manufacturing (SDM 2022). Leading-edge research into sustainable design and manufacturing aims to enable the manufacturing industry to grow by adopting more advanced technologies and at the same time improve its sustainability by reducing its environmental impact. Relevant themes and topics include sustainable design, innovation and services; sustainable manufacturing processes and technology; sustainable manufacturing systems and enterprises; and decision support for sustainability. Application areas are wide and varied. The book provides an excellent overview of the latest developments in the sustainable design and manufacturing area.
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-09-11
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Computers categories.
An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
Intelligent Manufacturing Systems
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Author : Andrew Kusiak
language : en
Publisher: Prentice Hall
Release Date : 1990
Intelligent Manufacturing Systems written by Andrew Kusiak and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computer integrated manufacturing systems categories.
Defining structure and functions of knowledge-based systems, this book presents hardware and software components of flexible machining, flexible assembly and computer-integrated manufacturing systems. Discussed are such areas as process planning, group technology and lay-out design.
Trends And Applications In Mechanical Engineering Composite Materials And Smart Manufacturing
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Author : Padhi, Surya Narayan
language : en
Publisher: IGI Global
Release Date : 2024-08-14
Trends And Applications In Mechanical Engineering Composite Materials And Smart Manufacturing written by Padhi, Surya Narayan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Technology & Engineering categories.
The fields of Mechanical Engineering, Composite Materials, and Smart Manufacturing find themselves at the heart of a pivotal predicament. As these industries grapple with the demands for efficiency, sustainability, and innovation, a need arises for a unified exploration of the transformative solutions within these domains. At this crucial moment, researchers, academics, and practitioners worldwide need to focus on understanding and solving the complex issues that are hindering progress. Trends and Applications in Mechanical Engineering, Composite Materials and Smart Manufacturing delves into solutions that propel industries, economies, and societies into a future defined by progress and resilience. At its core, this book strives to examine the disciplines of mechanical engineering, composite materials, and smart manufacturing. With the collaborative efforts of diverse experts, it attempts to create a comprehensive resource that not only identifies emerging trends but also unveils their impact on the real world. By acting as a driving force for advancing current research, bridging knowledge gaps, and presenting innovative solutions, the publication contributes significantly to the collective understanding of these disciplines. The goal is to empower scholars, educators, and professionals with the knowledge and insights required to sculpt the future of these increasingly complex industries.