Computational Modelling In Industry 4 0

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Computational Modelling in Industry 4.0

Author : Irfan Ali,Prasenjit Chatterjee,Ali Akbar Shaikh,Neha Gupta,Ali AlArjani
Publisher : Springer Nature
Page : 374 pages
File Size : 53,6 Mb
Release : 2022-02-12
Category : Technology & Engineering
ISBN : 9789811677236

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Computational Modelling in Industry 4.0 by Irfan Ali,Prasenjit Chatterjee,Ali Akbar Shaikh,Neha Gupta,Ali AlArjani Pdf

This book addresses the different problems, practices, challenges and opportunities in sustainable resource management with the help of decision-making techniques to showcase the relevance of computational modelling approaches in sustainable management and Industry 4.0. It aims to address the inherent complexity of managing ecosystems, particularly with respect to involvement of multi-stakeholders, lack of information and uncertainties. Critical analyses are made to point out the need for, and propose a call to, a new way of thinking about sustainable resource management. This book will be useful for academicians, researchers, and industrialists in the field of industrial and production engineering.

Architecture and Design for Industry 4.0

Author : Maurizio Barberio,Micaela Colella,Angelo Figliola,Alessandra Battisti
Publisher : Springer Nature
Page : 961 pages
File Size : 46,9 Mb
Release : 2023-10-06
Category : Technology & Engineering
ISBN : 9783031369223

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Architecture and Design for Industry 4.0 by Maurizio Barberio,Micaela Colella,Angelo Figliola,Alessandra Battisti Pdf

This book collects contributions of forefront research and practices related to the use of the enabling technologies of Industry 4.0 in the architecture and design fields and their impact on the UN's Sustainable Developments goals. The book is structured into three sections (research, practice, and technologies), with the goal of creating a new framework useful for widespread awareness necessary to initiate technology transfer processes for the benefit of the public sector, universities, research centers, and innovative companies, and a new professional figure capable of controlling the entire process is essential. Thus, the book chapters arouse a series of relevant topics such as computational and parametric design, performance-based architecture, data-driven design strategies, parametric environmental design and analysis, computational and parametric structural design and analysis, AI and machine learning, BIM and interoperability, VR and AR, digital and robotic fabrication, additive manufacturing and 3D printing, R&D and entrepreneurship, circular architecture, and didactics. In the post-digital era, where the essence of design lies in the control and information of the process that holistically involves all the aspects mentioned above, rather than in formal research, it is necessary to understand technologies and analyze the advantages that they can bring in terms of environmental sustainability and product innovation.

Industry 4.0 for the Built Environment

Author : Marzia Bolpagni,Rui Gavina,Diogo Ribeiro
Publisher : Springer Nature
Page : 677 pages
File Size : 43,8 Mb
Release : 2021-12-02
Category : Technology & Engineering
ISBN : 9783030824303

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Industry 4.0 for the Built Environment by Marzia Bolpagni,Rui Gavina,Diogo Ribeiro Pdf

This book discusses how the role of traditional construction professional is changing, providing a useful guide for practitioners who would like to upskill themselves. Lately, core concepts and methodologies for the Built Environment are presented providing definitions and applications on Building Information Modelling, Computational Design, Artificial Intelligence, Big Data, Cloud Computing, Data Analytics and Visualization, Lean Construction, Advanced Project Management, Sustainability, Geographical Information Systems, Advanced Business Models, Disaster Management, Quality Management, Health and Safety and Legal prospective. The book also shows the latest technologies for the Built Environment including Digital Twins, Reality Capture, Extended Reality, Gamification, Computational Construction and Manufacturing, Structural Health Monitoring, Smart Transaction and Cybersecurity. Trends in soft skills for the Built Environment are presented covering Digital Working, Communication, Self and Relationship Management skills and Critical thinking. The book is dedicated to professionals who would like to enhance their understanding and capabilities to operate in the Industry 4.0 for the Built Environment having a holistic and comprehensive overview.

Computational Methods for Application in Industry 4.0

Author : Nikolaos E. Karkalos,Angelos P. Markopoulos,J. Paulo Davim
Publisher : Springer
Page : 67 pages
File Size : 42,5 Mb
Release : 2018-05-30
Category : Technology & Engineering
ISBN : 3319923927

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Computational Methods for Application in Industry 4.0 by Nikolaos E. Karkalos,Angelos P. Markopoulos,J. Paulo Davim Pdf

This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users.

Machine Learning for Sustainable Manufacturing in Industry 4.0

Author : Raman Kumar,Sita Rani,Sehijpal Singh Khangura
Publisher : CRC Press
Page : 261 pages
File Size : 49,7 Mb
Release : 2023-11-02
Category : Technology & Engineering
ISBN : 9781000986242

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Machine Learning for Sustainable Manufacturing in Industry 4.0 by Raman Kumar,Sita Rani,Sehijpal Singh Khangura Pdf

The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.

Recent Trends and Best Practices in Industry 4.0

Author : Abhinav Sharma,Arpit Jain,Paawan Sharma,Mohendra Roy
Publisher : CRC Press
Page : 449 pages
File Size : 51,8 Mb
Release : 2023-11-03
Category : Computers
ISBN : 9781000964387

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Recent Trends and Best Practices in Industry 4.0 by Abhinav Sharma,Arpit Jain,Paawan Sharma,Mohendra Roy Pdf

Industry 4.0 is used interchangeably with the fourth industrial revolution and represents a new stage in the organization asnd control of the industrial value chain. Cyber-physical systems form the basis of industry 4.0 (e.g., 'smart machines'). They use modern control systems, have embedded software systems, can be addressed via IoT (the Internet of Things), and may use extensive data analytics and/or articifical inteligence systems to operate autonomously. The aim of this book is to provide detailed insights into the state of art techniques in AI, IoT, Blockchain technology and associated technologies which play a vital role in the implementation of a successful project for upcoming and practicing engineers. Owing to its multidisciplinary nature, Industry 4.0 is not a single topic but a combination of a multitude of technologies from different domains. Keeping this in mind the book includes the following topics: Artificial intelligence Internet of things Blockchain technology Digital manufacturing Robotics Cybersecurity The book will be a comprehensive guide to academicians and engineers who want to align with recent trends of fourth industrial revolution.

Digital Business Models for Industry 4.0

Author : Carlo Bagnoli,Andrea Albarelli,Stefano Biazzo,Gianluca Biotto,Giuseppe Roberto Marseglia,Maurizio Massaro,Matilde Messina,Antonella Muraro,Luca Troiano
Publisher : Springer Nature
Page : 279 pages
File Size : 41,7 Mb
Release : 2022-05-20
Category : Business & Economics
ISBN : 9783030972844

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Digital Business Models for Industry 4.0 by Carlo Bagnoli,Andrea Albarelli,Stefano Biazzo,Gianluca Biotto,Giuseppe Roberto Marseglia,Maurizio Massaro,Matilde Messina,Antonella Muraro,Luca Troiano Pdf

Technological advancements are contributing to shape future business models and the industrial scenario. Companies face the challenge of having to adapt to the frequently shifting technology landscape. Therefore, organizations must exploit technological advances to thrive in the digital revolution. This book presents and discusses emerging digital business models in the Industry 4.0. These models are illustrated with real case studies and include data-driven, platform, smart factory and servitization among others. The book introduces a detailed classification to help organizations to redesign their current business models and discusses how to gain unique competitive advantages. The book includes not only theoretical concepts to understand the context of digital transformation but also an assessment framework to enable and support innovation in organizations and create new revenue streams. The book will be of interest to students and professionals alike who want to understand the core of the Industry 4.0.

Advances in Mathematics for Industry 4.0

Author : Mangey Ram
Publisher : Academic Press
Page : 420 pages
File Size : 45,9 Mb
Release : 2020-10-02
Category : Mathematics
ISBN : 9780128189078

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Advances in Mathematics for Industry 4.0 by Mangey Ram Pdf

Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. Focuses on recent research in mathematics applications for Industry 4.0 Provides insights on international and transnational scales Identifies mathematics knowledge gaps for Industry 4.0 Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research

Simulation for Industry 4.0

Author : Murat M. Gunal
Publisher : Springer
Page : 288 pages
File Size : 43,7 Mb
Release : 2019-05-25
Category : Technology & Engineering
ISBN : 9783030041373

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Simulation for Industry 4.0 by Murat M. Gunal Pdf

The book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management. Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.

Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing

Author : Karabegovi?, Isak,Kova?evi?, Ahmed,Banjanovi?-Mehmedovi?, Lejla,Daši?, Predrag
Publisher : IGI Global
Page : 661 pages
File Size : 47,9 Mb
Release : 2020-03-27
Category : Business & Economics
ISBN : 9781799827269

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Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing by Karabegovi?, Isak,Kova?evi?, Ahmed,Banjanovi?-Mehmedovi?, Lejla,Daši?, Predrag Pdf

In Industry 4.0, industrial productions are adjusted to complete smart automation, which means introducing self-automation methods, self-configuration, self-diagnosis of problems and removal, cognition, and intelligent decision making. This implementation of Industry 4.0 brings about a change in business paradigms and production models, and this will be reflected at all levels of the production process including supply chains and will involve all workers in the production process from managers to cyber-physical systems designers and customers as end-users. The Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing is an essential reference source that explores the development and integration of Industry 4.0 by examining changes and innovations to manufacturing processes as well as its applications in different industrial areas. Featuring coverage on a wide range of topics such as cyber physical systems, integration criteria, and artificial intelligence, this book is ideally designed for mechanical engineers, electrical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians, and students at the postgraduate level.

Digital Manufacturing and Assembly Systems in Industry 4.0

Author : Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publisher : CRC Press
Page : 171 pages
File Size : 50,9 Mb
Release : 2019-07-03
Category : Computers
ISBN : 9780429876608

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Digital Manufacturing and Assembly Systems in Industry 4.0 by Kaushik Kumar,Divya Zindani,J. Paulo Davim Pdf

Manufacturing, like other industries, is rising to the challenges imposed by aggressive consumer demands and the need for cost-effective processing that delivers quality in the fastest possible time. Fierce competition means that keeping abreast of new developments and applications in technology is essential if companies are to meet demands profitably and keep ahead of competitors. This book investigates the design and management of digital manufacturing and assembly systems for an efficient, flexible, and modular production of customized products using the I40 (industry 4.0)-enabling technologies. This book will also provide case studies covering modeling, simulation, and optimization. eBook includes color figures. Discusses how the advancement of data communication and storage through the Internet of Things (IoT) opens the possibilities of connecting sensors, robots, and devices Sheds light on how the human role in industry is decreasing due to the development of connected manufacturing floors, allowing them to take more control over the manufacturing processes, decisions, and even maintenance Covers the benefits from exploiting digital manufacturing, manufacturing enterprises, and what they expect to achieve Explains the important roles that modeling, simulation, and optimization play Investigates the design and management of digital manufacturing and assembly systems for an efficient, flexible, and modular production of customized products exploiting the I40 (industry 4.0)-enabling technologies

Scheduling in Industry 4.0 and Cloud Manufacturing

Author : Boris Sokolov,Dmitry Ivanov,Alexandre Dolgui
Publisher : Springer Nature
Page : 274 pages
File Size : 43,6 Mb
Release : 2020-06-08
Category : Business & Economics
ISBN : 9783030431778

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Scheduling in Industry 4.0 and Cloud Manufacturing by Boris Sokolov,Dmitry Ivanov,Alexandre Dolgui Pdf

This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in new taxonomies and methodological principles to shape this new research domain. This book addresses the needs of both researchers and practitioners to uncover the challenges and opportunities of scheduling techniques’ applications to cloud manufacturing and Industry 4.0. For the first time, it comprehensively conceptualizes scheduling in cloud manufacturing and Industry 4.0 systems as a new research domain. The chapters of the book are written by the leading international experts and utilize methods of operations research, industrial engineering and computer science. Such a multi-disciplinary combination is unique and comprehensively deciphers major problem taxonomies, methodologies, and applications to scheduling in cloud manufacturing and Industry 4.0.

Industry 4.0, AI, and Data Science

Author : Vikram Bali,Kakoli Banerjee,Narendra Kumar,Sanjay Gour,Sunil Kumar Chawla
Publisher : CRC Press
Page : 283 pages
File Size : 47,5 Mb
Release : 2021-07-20
Category : Computers
ISBN : 9781000413458

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Industry 4.0, AI, and Data Science by Vikram Bali,Kakoli Banerjee,Narendra Kumar,Sanjay Gour,Sunil Kumar Chawla Pdf

Highlights research trends, challenges and the future of AI in Data Science Explores the potential for integration of advance AI algorithms Addresses the challenges of Data Science for Industry 4.0 Covers security issues of Data Science in the latest technologies Includes both qualitative and quantitative research, case studies, and working models

Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches

Author : Antonio Lepore,Biagio Palumbo,Jean-Michel Poggi
Publisher : Springer Nature
Page : 130 pages
File Size : 41,5 Mb
Release : 2022-10-19
Category : Mathematics
ISBN : 9783031124020

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Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches by Antonio Lepore,Biagio Palumbo,Jean-Michel Poggi Pdf

This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry. Different views in the context of Industry 4.0 are offered in connection with the concepts of explainability of machine learning tools, generalizability of model outputs and sensitivity analysis. Moreover, the book explores the integration of Artificial Intelligence and robust analysis of variance for big data mining and monitoring in Additive Manufacturing, and sheds new light on interpretability via random forests and flexible generalized additive models together with related software resources and real-world examples.

Industry 4.0: Managing The Digital Transformation

Author : Alp Ustundag,Emre Cevikcan
Publisher : Springer
Page : 286 pages
File Size : 54,8 Mb
Release : 2017-09-14
Category : Technology & Engineering
ISBN : 9783319578705

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Industry 4.0: Managing The Digital Transformation by Alp Ustundag,Emre Cevikcan Pdf

This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.The book provides a conceptual framework and roadmap for decision-makers for this transformation