Computational Intelligence Based Optimization Of Manufacturing Process For Sustainable Materials

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Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

Author : Deepak Sinwar
Publisher : CRC Press
ISBN 13 : 1000932966
Total Pages : 223 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by : Deepak Sinwar

Download or read book Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials written by Deepak Sinwar and published by CRC Press. This book was released on 2023-09-25 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence in Sustainable Reliability Engineering

Author : S. C. Malik
Publisher : John Wiley & Sons
ISBN 13 : 1119865409
Total Pages : 356 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence in Sustainable Reliability Engineering by : S. C. Malik

Download or read book Computational Intelligence in Sustainable Reliability Engineering written by S. C. Malik and published by John Wiley & Sons. This book was released on 2023-02-16 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering. This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.

Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems

Author : Ganesh M. Kakandikar
Publisher : CRC Press
ISBN 13 : 1000258386
Total Pages : 279 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems by : Ganesh M. Kakandikar

Download or read book Nature-Inspired Optimization in Advanced Manufacturing Processes and Systems written by Ganesh M. Kakandikar and published by CRC Press. This book was released on 2020-12-08 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence applied to manufacturing. It discusses nature-inspired optimization of processes and their design and development in manufacturing systems. It explores all manufacturing processes, at both macro and micro levels, and offers manufacturing philosophies. Nonconventional manufacturing, real industry problems and case studies, research on generative processes, and relevance of all this to Industry 4.0 is also included. Researchers, students, academicians, and industry professionals will find this reference title very useful.

Handbook of Intelligent Computing and Optimization for Sustainable Development

Author : Mukhdeep Singh Manshahia
Publisher : John Wiley & Sons
ISBN 13 : 1119792622
Total Pages : 944 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Handbook of Intelligent Computing and Optimization for Sustainable Development by : Mukhdeep Singh Manshahia

Download or read book Handbook of Intelligent Computing and Optimization for Sustainable Development written by Mukhdeep Singh Manshahia and published by John Wiley & Sons. This book was released on 2022-02-11 with total page 944 pages. Available in PDF, EPUB and Kindle. Book excerpt: HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

Advanced Mathematical Techniques in Computational and Intelligent Systems

Author : Sandeep Singh
Publisher : CRC Press
ISBN 13 : 1000997448
Total Pages : 285 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Advanced Mathematical Techniques in Computational and Intelligent Systems by : Sandeep Singh

Download or read book Advanced Mathematical Techniques in Computational and Intelligent Systems written by Sandeep Singh and published by CRC Press. This book was released on 2023-11-20 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively discusses the modeling of real-world industrial problems and innovative optimization techniques such as heuristics, finite methods, operation research techniques, intelligent algorithms, and agent- based methods. Discusses advanced techniques such as key cell, Mobius inversion, and zero suffix techniques to find initial feasible solutions to optimization problems. Provides a useful guide toward the development of a sustainable model for disaster management. Presents optimized hybrid block method techniques to solve mathematical problems existing in the industries. Covers mathematical techniques such as Laplace transformation, stochastic process, and differential techniques related to reliability theory. Highlights application on smart agriculture, smart healthcare, techniques for disaster management, and smart manufacturing. Advanced Mathematical Techniques in Computational and Intelligent Systems is primarily written for graduate and senior undergraduate students, as well as academic researchers in electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

Computational Intelligence in Manufacturing

Author : Kaushik Kumar
Publisher : Woodhead Publishing
ISBN 13 : 0323918557
Total Pages : 226 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Computational Intelligence in Manufacturing by : Kaushik Kumar

Download or read book Computational Intelligence in Manufacturing written by Kaushik Kumar and published by Woodhead Publishing. This book was released on 2022-05-28 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data-Driven Optimization of Manufacturing Processes

Author : Kalita, Kanak
Publisher : IGI Global
ISBN 13 : 1799872084
Total Pages : 298 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Data-Driven Optimization of Manufacturing Processes by : Kalita, Kanak

Download or read book Data-Driven Optimization of Manufacturing Processes written by Kalita, Kanak and published by IGI Global. This book was released on 2020-12-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.

Natural Language Processing and Information Retrieval

Author : Muskan Garg
Publisher : CRC Press
ISBN 13 : 1003800483
Total Pages : 271 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Natural Language Processing and Information Retrieval by : Muskan Garg

Download or read book Natural Language Processing and Information Retrieval written by Muskan Garg and published by CRC Press. This book was released on 2023-11-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.

Computational Intelligence in Remanufacturing

Author : Xing, Bo
Publisher : IGI Global
ISBN 13 : 1466649097
Total Pages : 348 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Computational Intelligence in Remanufacturing by : Xing, Bo

Download or read book Computational Intelligence in Remanufacturing written by Xing, Bo and published by IGI Global. This book was released on 2013-12-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: In attempts to reduce greenhouse gas emissions, many alternatives to manufacturing have been recommended from a number of international organizations. Although challenges will arise, remanufacturing has the ability to transform ecological and business value. Computational Intelligence in Remanufacturing introduces various computational intelligence techniques that are applied to remanufacturing-related issues, results, and lessons from specific applications while highlighting future development and research. This book is an essential reference for students, researchers, and practitioners in mechanical, industrial, and electrical engineering.

AI in Manufacturing and Green Technology

Author : Sambit Kumar Mishra
Publisher : CRC Press
ISBN 13 : 1000171892
Total Pages : 168 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis AI in Manufacturing and Green Technology by : Sambit Kumar Mishra

Download or read book AI in Manufacturing and Green Technology written by Sambit Kumar Mishra and published by CRC Press. This book was released on 2020-10-20 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Materials Design Using Computational Intelligence Techniques

Author : Shubhabrata Datta
Publisher : CRC Press
ISBN 13 : 131535568X
Total Pages : 187 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Materials Design Using Computational Intelligence Techniques by : Shubhabrata Datta

Download or read book Materials Design Using Computational Intelligence Techniques written by Shubhabrata Datta and published by CRC Press. This book was released on 2016-10-26 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database, as well as through the extraction of knowledge from experimental or industrial database, and using optimization tools.

Sustainability in Smart Manufacturing

Author : Saumya Shah
Publisher : CRC Press
ISBN 13 : 1040014992
Total Pages : 341 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Sustainability in Smart Manufacturing by : Saumya Shah

Download or read book Sustainability in Smart Manufacturing written by Saumya Shah and published by CRC Press. This book was released on 2024-05-14 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text highlights the role of artificial intelligence-powered robots and automation systems in revolutionizing digital manufacturing, covers prod-uct design and customization, and discusses various artificial intelligence algorithms for manufacturing processes and supply chain optimization. It further covers the applications of 3D printing and rapid prototyping for low-carbon development. Features: • Discusses microwave hybrid heating based on innovative joining tech-niques, applications of 3D printing, and rapid prototyping for low carbon development • Explains the role of artificial intelligence in digital manufacturing, data security, privacy issues, and defense mechanism • Provides an overview of artificial intelligence-powered robots and automation systems for revolutionizing digital manufacturing, and techniques for soft robotic structures • Presents case studies related to Six Sigma, digital manufacturing, and supply chain manufacturing • Explains artificial intelligence and machine learning-based high-predicted models for accurate data analysis in industry automation It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, production engineering, mechanical engineering, and aerospace engineering.

Sustainable Smart Manufacturing Processes in Industry 4.0

Author : Ramesh Kumar
Publisher : CRC Press
ISBN 13 : 1000963055
Total Pages : 283 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Sustainable Smart Manufacturing Processes in Industry 4.0 by : Ramesh Kumar

Download or read book Sustainable Smart Manufacturing Processes in Industry 4.0 written by Ramesh Kumar and published by CRC Press. This book was released on 2023-10-13 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text discusses both theoretical and technological aspects of the Industry 4.0–based manufacturing processes. It covers important topics such as additive manufacturing, laser-based manufacturing processes, electromagnetic welding and joining processes, green manufacturing processes, and friction welding processes. Illustrates sustainable manufacturing aspects in robotics and aerospace industries. Showcases additive manufacturing processes with a focus on innovation and automation. Covers environment-friendly manufacturing processes resulting in zero waste and conserves natural resources. Synergizes exploration related to the various properties and functionalities through extensive theoretical and experimental modeling. Discusses impact welding for joining of dissimilar materials. The text discusses the recent manufacturing techniques and methodologies such as impact welding for joining of dissimilar materials. It further covers techniques such as additive manufacturing and electromagnetic manu- facturing, resulting in minimum or negligible waste. The text elaborates important topics such as friction stir welding energy consumption analysis, and industry waste recycling for sustainable development. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in the fields including mechanical engineering, aerospace engineering, manufacturing engineering, and production engineering.

Sustainable Materials and Manufacturing Technologies

Author : Navneet Khanna
Publisher :
ISBN 13 : 9781032272498
Total Pages : 0 pages
Book Rating : 4.2/5 (724 download)

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Book Synopsis Sustainable Materials and Manufacturing Technologies by : Navneet Khanna

Download or read book Sustainable Materials and Manufacturing Technologies written by Navneet Khanna and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Materials and manufacturing techniques are a few of the vital processes in production industries. Most of the materials processing and manufacturing techniques currently used in industries are a major cause of environmental pollution and are hence unsustainable. This book provides in-depth knowledge about challenges faced during the processing of advanced materials and discuss possible ways to achieve sustainability in manufacturing. This book Covers advances in cryogenic machining, optimization and economical and energy assessment of machining. Provides case studies and numerical design with analysis using computational fluid dynamics of minimum quantity lubrication mist droplets. Discusses reviews on metalworking fluids, laser micro-texturing, materials and manufacturing in sustainability, biofuels additives and nano-materials as well as additive manufacturing of waste plastic. Explores the use of artificial intelligence and machine learning based manufacturing techniques Covers the latest challenges and future trends in sustainable manufacturing. Sustainable Materials and Manufacturing Technologies is primarily written for senior undergraduate and graduate students, and for researchers in the field of mechanical, manufacturing, industrial, production engineering and material science"--

Hybrid Modeling and Optimization of Manufacturing

Author : Ramón Quiza
Publisher : Springer Science & Business Media
ISBN 13 : 3642280846
Total Pages : 99 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Hybrid Modeling and Optimization of Manufacturing by : Ramón Quiza

Download or read book Hybrid Modeling and Optimization of Manufacturing written by Ramón Quiza and published by Springer Science & Business Media. This book was released on 2012-02-16 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

Handbook of Computational Intelligence in Manufacturing and Production Management

Author : Laha, Dipak
Publisher : IGI Global
ISBN 13 : 1599045842
Total Pages : 516 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Handbook of Computational Intelligence in Manufacturing and Production Management by : Laha, Dipak

Download or read book Handbook of Computational Intelligence in Manufacturing and Production Management written by Laha, Dipak and published by IGI Global. This book was released on 2007-11-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Machine Learning for Sustainable Manufacturing in Industry 4.0

Author : Raman Kumar
Publisher : CRC Press
ISBN 13 : 1000986241
Total Pages : 261 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Machine Learning for Sustainable Manufacturing in Industry 4.0 by : Raman Kumar

Download or read book Machine Learning for Sustainable Manufacturing in Industry 4.0 written by Raman Kumar and published by CRC Press. This book was released on 2023-11-02 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.