Download or read book AI for Improving the Overall Equipment Efficiency in Manufacturing Industry written by Xavier Domingo and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 has emerged as the perfect scenario for boosting the application of novel artificial intelligence (AI) and machine learning (ML) solutions to industrial process monitoring and optimization. One of the key elements on this new industrial revolution is the hatching of massive process monitoring data, enabled by the cyber-physical systems (CPS) distributed along the manufacturing processes, the proliferation of hybrid Internet of Things (IoT) architectures supported by polyglot data repositories, and big (small) data analytics capabilities. Industry 4.0 paradigm is data-driven, where the smart exploitation of data is providing a large set of competitive advantages impacting productivity, quality, and efficiency key performance indicators (KPIs). Overall equipment efficiency (OEE) has emerged as the target KPI for most manufacturing industries due to the fact that considers three key indicators: availability, quality, and performance. This chapter describes how different AI and ML solutions can enable a big step forward in industrial process control, focusing on OEE impact illustrated by means of real use cases and research project results.

Download or read book Chapter AI for Improving the Overall Equipment Efficiency in Manufacturing Industry written by Lluis Echeverria and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 has emerged as the perfect scenario for boosting the application of novel artificial intelligence (AI) and machine learning (ML) solutions to industrial process monitoring and optimization. One of the key elements on this new industrial revolution is the hatching of massive process monitoring data, enabled by the cyber-physical systems (CPS) distributed along the manufacturing processes, the proliferation of hybrid Internet of Things (IoT) architectures supported by polyglot data repositories, and big (small) data analytics capabilities. Industry 4.0 paradigm is data-driven, where the smart exploitation of data is providing a large set of competitive advantages impacting productivity, quality, and efficiency key performance indicators (KPIs). Overall equipment efficiency (OEE) has emerged as the target KPI for most manufacturing industries due to the fact that considers three key indicators: availability, quality, and performance. This chapter describes how different AI and ML solutions can enable a big step forward in industrial process control, focusing on OEE impact illustrated by means of real use cases and research project results.

Download or read book New Trends in the Use of Artificial Intelligence for the Industry 4 0 written by Luis Romeral Martinez and published by BoD – Books on Demand. This book was released on 2020-03-25 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.

Download or read book Sustainability in Industry 4 0 written by Shwetank Avikal and published by CRC Press. This book was released on 2021-09-30 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A large and growing number of manufacturers are realizing the substantial financial and environmental benefits of sustainable business practices. To develop more sustainable societies, industries need to better understand how to respond to environmental, economic, and social challenges and transform industrial behavior. The objective of this book is to provide the required knowledge and accelerate the transition towards a sustainable industrial system. The book will help industries to enhance operational efficiency by reducing costs and waste. It will help them increase customer response, reach new customers, and gain competitive advantage. It offers innovation, scenario planning, and strategic analysis that goes beyond compliance, as well as case studies and remedies to the industry 4.0 challenges. Professionals, as well as students, can refer to this book to add to their knowledge on Industry 4.0 and develop new ideas and solutions to the existing and future problems.

Download or read book Manufacturing from Industry 4 0 to Industry 5 0 written by Dimitris Mourtzis and published by Elsevier. This book was released on 2024-06-26 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current industrial practice within the framework of industry 4.0 by presenting its key definitions and backbone technologies; (ii) it discusses the methods and state-of-the-art developments employed in the ongoing digital transformation of companies worldwide to promote more resilient, sustainable, and human-centric smart manufacturing and production networks; and (iii) it outlines a strategic plan for the transition from industry 4.0 to industry 5.0. Written by an international group of expert scientists, this volume offers an overview of the most recent research in the field and provides actionable insights to benefit audiences in both academia and industry. Appeals to readers with its systematic and coherent approach that includes fundamental theoretical concepts as well as applied practical knowledge Includes state-of-the-art information on disruptive smart manufacturing technologies, real-life case studies of their impact in business scenarios, and gap analysis, creating an evidence-based path to recognize the opportunities and challenges originating from an industry 4.0 to industry 5.0 transition Serves as a guide to the next generation of engineers and facilitates making the next manufacturing paradigm a reality

Download or read book Artificial Intelligence Raises Efficiency In Manufacturing Industry written by Johnny Ch Lok and published by . This book was released on 2019-12-11 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.However, if (AI) technology could dominate global labor markets. If labor productivity increases, do not influence to wage increases, then the large economic gains brought about by (AI) technology could be increased wealth inequality, due to employers can reduce production cost, but workers ( labors) wages will not be increased, even will be decreased. Hence, it seems the (AI) technology will bring disadvantages to labor market to cause unemployment or reduce wages in possible, although it can reduce employer individual salary (wage) expenditure and it can raise productivity.⦁How can artificial intelligence impact global economy growth?Artificial intelligence (AI) technology is a branch of computer science that aims to create intelligent machines that work and react like humans. So, (AI) is a technology that appears to impact ( influence) human preference by learning, understanding complex contents, enhancing humans in executing both routine and non-routine tasks. In the future, (AI) technology that can be virtual personal assistant, as well as it may exist, such as robots with human-like processing capabilities

Download or read book Oee for Operators written by Productivity Press Development Team and published by Productivity Press. This book was released on 2018-06-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Overall Equipment Effectiveness (OEE) is a crucial measure in TPM that reports on how well equipment is running. It factors three elements ---the time the machine is actually running, the quantity of products the machine is turning out, and the quantity of good output - into a single combined score. Directly addressing those who are best positioned to track and improve the effectiveness of equipment, OEE for Operatorsdefines basic concepts and then provides a systematic explanation of how OEE should be applied to maximize a piece of equipment's productivity and recognize when its efficiency is being compromised. Features

Download or read book Multifactor Productivity Measures written by and published by . This book was released on 1984 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reinventing Manufacturing and Business Processes Through Artificial Intelligence written by Geeta Rana and published by CRC Press. This book was released on 2021-12-14 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited 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.

Download or read book Computational Intelligence Applications for Software Engineering Problems written by Parma Nand and published by CRC Press. This book was released on 2023-02-10 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores the computational intelligence techniques necessary to carry out different software engineering tasks. Software undergoes various stages before deployment, such as requirements elicitation, software designing, software project planning, software coding, and software testing and maintenance. Every stage is bundled with a number of tasks or activities to be performed. Due to the large and complex nature of software, these tasks can become costly and error prone. This volume aims to help meet these challenges by presenting new research and practical applications in intelligent techniques in the field of software engineering. Computational Intelligence Applications for Software Engineering Problems discusses techniques and presents case studies to solve engineering challenges using machine learning, deep learning, fuzzy-logic-based computation, statistical modeling, invasive weed meta-heuristic algorithms, artificial intelligence, the DevOps model, time series forecasting models, and more.

Download or read book AI Powered Industry written by Hebooks and published by Hebooks. This book was released on with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: "AI-Powered Industry: How Artificial Intelligence Will Revolutionize Manufacturing" offers an insightful exploration of the transformative impact of artificial intelligence (AI) on the manufacturing landscape. This book delves into the core concepts of AI, its historical evolution, and its relevance to the manufacturing industry. Readers will gain a comprehensive understanding of AI's potential to optimize production, improve efficiency, enhance quality, and enable personalized customization within the manufacturing sector. Through case studies and future projections, this book provides a compelling vision of AI's role in shaping the future of manufacturing.

Download or read book Artificial Intelligence Suitability Assessment of Manufacturing Execution System Functions written by Yasin Sengöz and published by GRIN Verlag. This book was released on 2020-09-01 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2020 in the subject Computer Sciences - Artificial Intelligence, grade: 2,0, Jönköping International Business School (School of Engineering), course: Final Project Work in Production Systems, language: English, abstract: The thesis work introduces an assessment framework consisting of decisive criteria and related indicators which describe qualitatively the suitability of AI for MES functions based on three criteria with related indicators. In addition, the researcher displays furthermore how the developed assessment framework can be used in order to assess the MES functions regarding their AI “readiness”. In order to cope the findings through the thesis work an inductive research approach has been applied. Existing literature in the fields of intelligent manufacturing, Manufacturing-Execution-Systems, machine learning, deep learning, intelligent manufacturing, digital twin, and assessment methodologies have been extensively studied in order to base the theoretical developed framework on grounded theory. A case study was carried out in order to test the validity and reliability of the developed assessment framework for industry. The outcome of this thesis work was an assessment framework consisting of decisive criteria and related indicators when evaluating a MES function in respect to its AI suitability. Furthermore, an assessment checklist has been provided for the industry in order to be able to assess a MES function regards AI support in a quick and pragmatic manner. To generate a more generalizable assessment framework criteria and indicators have to be adapted, likewise testing the outcome of analogue and digital assessment methodologies will provide material for future studies. Artificial Intelligence arises in the manufacturing field very rapidly. Implementing Artificial Intelligence (AI) solutions and algorithms in the manufacturing environment is a well-known research field in academia. On the other hand, Manufacturing-Execution-System (MES) providers do not have a theoretical and pragmatic framework regarding the evaluation of MES functions in respect to their suitability for Artificial Intelligence. In order to be able to pre-evaluate whether a MES function shall be AI supported an intense literature research has been conducted. Academia shows few investigations regarding this field of research. Recent studies have been concerning about possible applications for MES functions in combination with AI. However, there is a lack of research in terms of pre-evaluating a MES function before embedding the function with AI support, since the development of AI solutions for MES functions without pre-evaluating those bears a waste of valuable resources.

Download or read book Towards Sustainable Customization Bridging Smart Products and Manufacturing Systems written by Ann-Louise Andersen and published by Springer Nature. This book was released on 2021-10-31 with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features state-of-the-art contributions from two well-established conferences: Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2020) and Mass Customization and Personalization Conference (MCPC2020). Together, they focus on the joint design, development, and management of products, production systems, and business for sustainable customization and personalization. The book covers a large range of topics within this domain, ranging from industrial success factors to original contributions within the field.

Download or read book Smart Manufacturing written by Anthony Tarantino and published by John Wiley & Sons. This book was released on 2022-05-10 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0 In Smart Manufacturing, The Lean Six Sigma Way, Dr. Anthony Tarantino delivers an insightful and eye-opening exploration of the ways the Fourth Industrial Revolution is dramatically changing the way we manufacture products across the world and especially how it will revitalize manufacturing in North America and Europe. The author examines the role and impact of a variety of new Smart technologies including industrial IoT, computer vision, mobile/edge computing, 3D printing, robots, big data analytics, and the cloud. He demonstrates how to apply these new technologies to over 20 continuous improvement/Lean Six Sigma tools, greatly enhancing their effectiveness and ease of use. The book also discusses the role Smart technologies will play in improving: Career opportunities for women in manufacturing Cyber security, supply chain risk, and logistics resiliency Workplace health, safety, and security Life on the manufacturing floor Operational efficiencies and customer satisfaction Perfect for anyone involved in the manufacturing or distribution of products in the 21st century, Smart Manufacturing, The Lean Six Sigma Way belongs in the libraries of anyone interested in the intersection of technology, commerce, and physical manufacturing.

Download or read book Integration of AI Based Manufacturing and Industrial Engineering Systems with the Internet of Things written by Pankaj Bhambri and published by CRC Press. This book was released on 2023-12-22 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. The potential benefits and challenges associated with the integration of AI and IoT in industrial environments are explored throughout the book as the authors delve into various aspects of the integration process. The role of IoT-enabled sensors, actuators, and smart devices in capturing real-time data from manufacturing processes, supply chains, and equipment is discussed along with how data can be processed and analyzed using AI algorithms to derive actionable insights, optimize production, improve quality control, and enhance overall operational efficiency. A valuable resource for researchers, practitioners, and professionals involved in the fields of AI, IoT, manufacturing systems, and industrial engineering, and combines theoretical foundations, practical applications, and case studies.

Download or read book AI Aided IoT Technologies and Applications for Smart Business and Production written by Alex Khang and published by CRC Press. This book was released on 2023-12-01 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

Download or read book Industry 4 0 Smart Manufacturing and Industrial Engineering written by Amit Kumar Tyagi and published by CRC Press. This book was released on 2024-09-16 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering. Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness. The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.