Soft Computing In Smart Manufacturing And Materials
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Soft Computing In Smart Manufacturing And Materials
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Author : Sudan Jha
language : en
Publisher: Elsevier
Release Date : 2025-02-03
Soft Computing In Smart Manufacturing And Materials written by Sudan Jha and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Computers categories.
Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.
Soft Computing In Smart Manufacturing And Materials
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Author : Sudan Jha
language : en
Publisher: Elsevier
Release Date : 2025-01-20
Soft Computing In Smart Manufacturing And Materials written by Sudan Jha and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-20 with Computers categories.
Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering. - Introduces soft computing techniques for the creation of sustainable solutions for smart materials and manufacturing - Offers perspectives for design, development, and commissioning of intelligent applications - Reviews the latest intelligent technologies and algorithms related to monitoring and mitigation of sustainable engineering - Discusses the implementation of soft computing in the various areas of engineering materials - Looks at future sustainable and intelligent monitoring techniques that will benefit manufacturing
Soft Computing In Smart Manufacturing
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Author : Tatjana Sibalija
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-12-06
Soft Computing In Smart Manufacturing written by Tatjana Sibalija and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Technology & Engineering categories.
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.
Recent Advances In Smart Manufacturing And Materials
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Author : Rajeev Agrawal
language : en
Publisher: Springer Nature
Release Date : 2021-07-22
Recent Advances In Smart Manufacturing And Materials written by Rajeev Agrawal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Technology & Engineering categories.
This book presents select proceedings of the International Conference on Evolution in Manufacturing (ICEM 2020), and examines a range of areas including internet-of-things for cyber manufacturing, data analytics for manufacturing systems and processes and materials. The topics covered include modeling simulation and decision making in cyber physical systems for supporting engineering and production management, innovative approach in materials development, biomaterial applications, and advancement in manufacturing and material technologies. The book also discusses sustainability in manufacturing and supply chain management including circular economy. The book will be a valuable reference for beginners, researchers, and professionals interested in smart manufacturing in engineering, production management and materials technology.
Soft Computing In Industry 5 0 For Sustainability
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Author : C Kishor Kumar Reddy
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Soft Computing In Industry 5 0 For Sustainability written by C Kishor Kumar Reddy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs. The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.
Production And Operations Analysis
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Author : Susmita Bandyopadhyay
language : en
Publisher: CRC Press
Release Date : 2019-12-18
Production And Operations Analysis written by Susmita Bandyopadhyay and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-18 with Technology & Engineering categories.
The aim of this book is to cover various aspects of the Production and Operations Analysis. Apart from the introduction to basic understanding of each topic, the book will also provide insights to various conventional techniques as well as, various other mathematical and nature-based techniques extracted from the existing literature. Concepts like smart factories, intelligent manufacturing, and various techniques of manufacturing will also be included. Various types of numerical examples will also be presented in each chapter and the descriptions will be done in lucid style with figures, point-wise descriptions, tables, pictures to facilitate easy understanding of the subject.
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials
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Author : Deepak Sinwar
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials written by Deepak Sinwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science. Discusses the development of sustainable materials using metaheuristic approaches. Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering. Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process. Include case studies for industrial optimizations. Explores the use of computational optimization for reliability and maintainability theory. The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.
Smart Manufacturing Innovation And Transformation Interconnection And Intelligence
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Author : Luo, ZongWei
language : en
Publisher: IGI Global
Release Date : 2014-03-31
Smart Manufacturing Innovation And Transformation Interconnection And Intelligence written by Luo, ZongWei and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with Technology & Engineering categories.
Fast advances in information technology have led to a smarter world vision with ubiquitous interconnection and intelligence. Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence covers both theoretical perspectives and practical approaches to smart manufacturing research and development triggered by ubiquitous interconnection and intelligence. This reference work discusses the transformation of manufacturing, the latest developments in smart manufacturing innovation, current and emerging technology opportunities, and market imperatives that enable manufacturing innovation and transformation, useful tools for readers in industry, academia, and government.
Data Analytics And Artificial Intelligence For Predictive Maintenance In Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: CRC Press
Release Date : 2024-10-23
Data Analytics And Artificial Intelligence For Predictive Maintenance In Smart Manufacturing written by Amit Kumar Tyagi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.
Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.
Computer Aided Engineering Design And Manufacturing
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Author : Wasim Ahmed Khan
language : en
Publisher: Springer Nature
Release Date : 2025-03-13
Computer Aided Engineering Design And Manufacturing written by Wasim Ahmed Khan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Technology & Engineering categories.
This text introduces the modern concepts relevant to system engineering design and manufacturing from a 4th Industrial Revolution perspective. The book surveys the current status and cutting edge in Computer Aided Design and Computer Aided Manufacturing (CAD/CAM). This bridges the gaps between academic research and industry. It consists of seven parts and seventeen chapters that first structure the subject areas and later detail the main topics under consideration. Each part of the book and each chapter contains a prelude guiding the reader in a systematic way to the next part or topic. The book explains concepts using state-of-the-art teaching methods, using objectives, learning outcomes and review questions. MS PowerPoint Slides and Solution Manual for instructors are available online as well as videos.