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Industrial Engineering in the Industry 4.0 Era: Selected Papers from ISPR2023, October 5-7, 2023, Antalya (Lecture Notes in Mechanical Engineering)
by Numan M. Durakbasa M. Güneş GençyılmazThis book contains selected papers from International Symposium for Production Research 2023, held on October 5–7, 2023, Antalya, Türkiye. The book reports recent advances in production engineering and operations. It explores topics including: production research; production management; operations management; Industry 4.0; Industry 5.0; industrial engineering; mechanical engineering; engineering management; operational research. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.
Industrial Engineering in the Sustainability Era: Selected Papers from the Hybrid Global Joint Conference on Industrial Engineering and Its Application Areas, GJCIE 2023, August 14–16, 2023, New York, USA (Lecture Notes in Management and Industrial Engineering)
by Fethi Calisir Murat Durucu Mohammad T. KhasawnehThis book gathers extended versions of the best papers presented at the Global Joint Conference on Industrial Engineering and Its Application Areas (GJCIE), held on August 14-16, 2023, in New York, USA. Continuing the tradition of previous volumes, it highlights recent developments of industrial engineering and digital and intelligent technologies for improving manufacturing processes, and healthcare and transportation services, among others applications. A special emphasis is given to engineering methods and strategies fostering a sustainable business development.
Industrial Image Processing
by Christian Demant Bernd Streicher-Abel Carsten GarnicaThis practical introduction focuses on how to design integrated solutions for industrial vision tasks from individual algorithms. The book is now available in a revised second edition that takes into account the current technological developments, including camera technology and color imaging processing. It gives a hands-on guide for setting up automated visual inspection systems using real-world examples and the NeuroCheck® standard software that has proven industrial strength integrated in thousands of applications in real-world production lines. Based on many years of experience in industry, the authors explain all the essential details encountered in the creation of vision system installations. With example material and a demo version of the software found on "extras. springer. com" readers can work their way through the described inspection tasks and carry out their own experiments.
Industrial Innovations: Proceeding of the 5th International Conference on Advanced technologies and Humanity (ICATH'2023) (Sustainable Civil Infrastructures)
by Brahim El Bhiri Safae Merzouk Saliha Assoul“Industrial Innovations: New Technologies in Cities' Digital Infrastructures” is a comprehensive proceedings book that delves into the latest research and practices shaping the industrial landscape in urban settings. In today's rapidly evolving technological landscape, the integration of digital advancements has become increasingly crucial for optimizing industrial processes and enhancing efficiency. Through a series of insightful contributions, this book explores various aspects of digital advancements in industrial processes. Readers will gain valuable insights into topics such as machine learning for export pattern identification, AI-driven predictive maintenance methods, and the integration of digital technologies in distribution supply chains. These discussions shed light on how digital innovations are revolutionizing traditional industrial practices, leading to more streamlined operations and improved outcomes. Additionally, the book examines the role of digital twins in improving business processes by providing virtual simulations and optimizations. This concept enables businesses to enhance their operational efficiency and make informed decisions based on real-time data analysis. Moreover, the impact of digital visual management systems on workplace safety is explored, highlighting the importance of leveraging technology to mitigate risks and ensure a safer working environment. Furthermore, systematic mapping studies shed light on the intersection of green and digital supply chain innovation. By exploring how digital technologies can be leveraged to create more sustainable industrial practices, these studies offer potential avenues for reducing environmental impact and promoting long-term sustainability in industrial operations. With its diverse range of topics and contributions, “Industrial Innovations: New Technologies in Cities' Digital Infrastructures” serves as a valuable resource for researchers, industry professionals, and policymakers interested in the intersection of technology and industrial innovation in urban environments. It offers insights into the latest advancements and best practices in leveraging digital technologies to optimize industrial processes and drive sustainable development in cities worldwide.
Industrial Intelligence: Methods and Applications (Springer Series in Advanced Manufacturing)
by Yu Zheng Tianyuan Liu Jinsong Bao Yuqian LuThis book explains the AI algorithms, techniques, and application methods used in manufacturing, and how they contribute to the advancement of industrial intelligence. Industrial artificial intelligence (IAI) is rapidly evolving alongside the development of smart manufacturing, which cannot be achieved without intelligence at its core. IAI enables intelligent and resilient manufacturing systems, making them fault-tolerant, on-demand, and self-organizing. It also provides on-demand manufacturing services to end users by optimally coordinating distributed manufacturing resources, augmented by AI methodologies. This book will be of interest to researchers and professionals in the manufacturing industry.
Industrial Internet
by Jon BrunerConsumer networks have revolutionized the way companies understand and reach their customers, making possible intricate measurement and accurate prediction at every step of every transaction. The same revolution is underway in our infrastructure, where new generations of sensor-laden power plants, cars and medical devices will generate vast quantities of data that could bring about improvements in quality, reliability and cost. Big machines will enter the modern era of big data, where they'll be subject to constant analysis and optimization. The promise of the industrial internet is that it will bring intelligence to industries that are capital-intensive and create broad value that all of the industrial internet's participants will share. This report examines the industrial internet across several industries. It describes both near-term efforts as well as the longer-term development that will emerge as software and machines further integrate.
Industrial Internet Application Development: Simplify IIoT development using the elasticity of Public Cloud and Native Cloud Services
by Alena Traukina Jayant Thomas Prashant Tyagi Kishore ReddipalliYour one-stop guide to designing, building, managing, and operating Industrial Internet of Things (IIoT) applicationsKey FeaturesBuild IIoT applications and deploy them on Platform as a Service (PaaS)Learn data analytics techniques in IIoT using Spark and TensorFlowUnderstand and combine Predix services to accelerate your developmentBook DescriptionThe Industrial Internet refers to the integration of complex physical machines with networked sensors and software. The current growth in the number of sensors deployed in heavy machinery and industrial equipment will lead to an exponential increase in data being captured that needs to be analyzed for predictive analytics. This also opens up a new avenue for developers who want to build exciting industrial applications. Industrial Internet Application Development serves as a one-stop guide for software professionals wanting to design, build, manage, and operate IIoT applications. You will develop your first IIoT application and understand its deployment and security considerations, followed by running through the deployment of IIoT applications on the Predix platform. Once you have got to grips with what IIoT is, you will move on to exploring Edge Development along with the analytics portions of the IIoT stack. All this will help you identify key elements of the development framework, and understand their importance when considering the overall architecture and design considerations for IIoT applications. By the end of this book, you will have grasped how to deploy IIoT applications on the Predix platform, as well as incorporate best practices for making fault-tolerant and reliable IIoT systems.What you will learnConnect prototype devices to CloudStore data in IIoT applications Explore data management techniques and implementationStudy IIoT applications analytics using Spark ML and TensorFlow Deploy analytics and visualize the outcomes as AlertsUnderstand continuous deployment using Docker and Cloud FoundryMake your applications fault-tolerant and monitor them with New RelicUnderstand IIoT platform architecture and implement IIoT applications on the platformWho this book is forThis book is intended for software developers, architects, product managers, and executives keen to gain insights into Industrial Internet development. A basic knowledge of any popular programming language such as Python will be helpful.
Industrial Internet of Things
by Danda B. Rawat Christian Brecher Sabina Jeschke Houbing SongThis book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice. Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.
Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance
by Noor Zaman Souvik Pal R. Anandan Suseendran GopalakrishnanINDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by Advancing hands-on experience working with industrial architecture Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols Putting forward business models revitalizing the workforce with Industry 4.0. Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.
Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments (Intelligent Manufacturing and Industrial Engineering)
by Neha Sharma Ahmed A. Elngar Prasenjit Chatterjee Sunil Kumar Chawla Srinivasu P. NagaThe industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems.Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field.By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.
Industrial Internet: Research on the Development of Electronic Information Engineering Technology in China
by Chinese Academy of EngineeringThis book discusses the birth and background of the Industrial Internet, clarifying its definition and structure, and reviewing the related development trends in China and around the globe, mainly in terms of policies, networks, platforms, security, application and standards. Lastly, it provides insights into the integration of the Industrial Internet with a series of next-gen information technologies, such as time sensitive networking, 5G, edge computing, blockchain and artificial intelligence. Intended for researchers and industrial practitioners who have been following the evolution of and trends in the Industrial Internet, the book is also a valuable reference resource for practitioners, scholars, and technical and engineering managers at various levels and in various fields.
Industrial IoT Application Architectures and Use Cases
by Pethuru Raj A. Suresh Malarvizhi Nandagopal E. A. Neeba Jenn-Wei LinAs the number of Internet of Things (IoT) elements grows exponentially, their interactions can generate a massive amount of raw and multi-structured data. The challenge with this data explosion is to transform any raw data into information and knowledge, which can be used by people and systems to make intelligent decisions. Industrial IoT Application Architectures and Use Cases explores how artificial intelligence (AI), data analytics, and IoT technology combine to promote intelligent decision-making and automation in a range of industries. With faster, more stable AI algorithms and approaches, knowledge discovery and dissemination from IoT-device data can be simplified and streamlined. An era of powerful cognitive technology is beginning due to cloud-based cognitive systems that are forming the foundation of game-changing intelligent applications. This book presents next-generation use cases of IoT and IoT data analytics for a variety of industrial verticals as given below: An Intelligent IoT framework for smart water management An IoT-enabled smart traffic control system for congestion control and smart traffic management An intelligent airport system for airport management and security surveillance An IoT framework for healthcare to integrate and report patient information Fuzzy scheduling with IoT for tracking and monitoring hotel assets An IoT system for designing drainage systems and monitoring drainage pipes Predictive maintenance of plant equipment to decide the actual mean time to malfunction Integrated neural networks and IoT systems for predictive equipment maintenance IoT integration in blockchain for smart waste management This book also includes a chapter on the IoT paradigm and an overview of uses cases for personal, social, and industrial applications.
Industrial IoT Technologies and Applications: 4th EAI International Conference, Industrial IoT 2020, Virtual Event, December 11, 2020, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #365)
by Lourdes Peñalver Lorena ParraThis book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Industrial IoT Technologies and Applications, IoT 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually. The widespread deployment of wireless sensor networks, clouds, industrial robot, embedded computing and inexpensive sensors has facilitated industrial Internet of Things (IndustrialIoT) technologies and fostered some emerging applications. The 14 carefully reviewed papers are a selection from 28 submissions and detail topics in the context of IoT for a smarter industry.
Industrial IoT for Architects and Engineers: Architecting secure, robust, and scalable industrial IoT solutions with AWS
by Joey Bernal Bharath SridharGo beyond connecting services to understand the unique challenges encountered in industrial environments by building Industrial IoT architectures using AWSPurchase of the print or kindle book includes a free eBook in the PDF formatKey FeaturesUnderstand the key components of IoT Architecture and how it applies to Industry 4.0Walk through extensive examples and solutions across multiple IndustriesLearn how to collect, process, store, and analyse Industrial IoT dataBook DescriptionWhen it comes to using the core and managed services available on AWS for making decisions about architectural environments for an enterprise, there are as many challenges as there are advantages. This Industrial IoT book follows the journey of data from the shop floor to the boardroom, identifying goals and aiding in strong architectural decision-making.You'll begin from the ground up, analyzing environment needs and understanding what is required from the captured data, applying industry standards and conventions throughout the process. This will help you realize why digital integration is crucial and how to approach an Industrial IoT project from a holistic perspective. As you advance, you'll delve into the operational technology realm and consider integration patterns with common industrial protocols for data gathering and analysis with direct connectivity to data through sensors or systems. The book will equip you with the essentials for designing industrial IoT architectures while also covering intelligence at the edge and creating a greater awareness of the role of machine learning and artificial intelligence in overcoming architectural challenges.By the end of this book, you'll be ready to apply IoT directly to the industry while adapting the concepts covered to implement AWS IoT technologies.What you will learnDiscover Industrial IoT best practices and conventionsUnderstand how to get started with edge computingDefine and build IoT solution architectures from scratchUse AWS as the core of your solution platformApply advanced analytics and machine learning to your dataDeploy edge processing to react in near real time to events within your environmentWho this book is forThis book is for architects, engineers, developers, and technical professionals interested in building an edge and cloud-based Internet of Things ecosystem with a focus on industry solutions. Since the focus of this book is specifically on IoT, a solid understanding of core IoT technologies and how they work is necessary to get started. If you are someone with no hands-on experience, but are familiar with the subject, you'll find the use cases useful to learn how architectural decisions are made.
Industrial IoT: Challenges, Design Principles, Applications, and Security
by Ismail ButunProliferation of Internet of Things (IoT) enabled rapid enhancements for the applications not only in home and environment scenarios, but also in factory automation. Now, Industrial Internet of Things (IIoT) offers all the advantages of IoT to the industrial scenarios, applications ranging from remote sensing and actuating to de-centralization and autonomy. In this book, the editor aims at presenting the IIoT and its place during the industrial revolution (Industry 4.0), while they are taking us to a better, sustainable, automated and safer world. The book covers the cross relations and implications of IIoT with existing wired/wireless communication/networking and safety technologies of the Industrial Networks. Moreover, practical use-case scenarios from the industry, for the application of IIoT on smart factories, smart cities and smart grid are presented. Especially, IoT-driven advances in commercial and industrial building lighting and in street lighting are presented as a specific example to shed light on the application domain of IIoT.The state of the art in Industrial Automation is also presented not only to give a better understanding of the enabling technologies, potential advantages and challenges of the Industry 4.0 and IIoT but also to foster interest on exploring this promising area. Finally yet importantly, the security section of the book covers the cyber-security related needs of the IIoT users and the services that might address these needs. First, user privacy, data ownership, proprietary information handling related to IIoT networks are investigated. Then, the intrusion prevention, detection and mitigation part conclude the book.
Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor
by Andreas François VermeulenUnderstand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes. Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors. What You Will Learn Generate and identify transformational disruptors of artificial intelligence (AI)Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environmentHone the skills required to handle the future of data engineering and data science Who This Book Is For Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management
Industrial Maintenance And Mechatronics
by Shawn A. Ballee Gary R. ShearerIndustrial Maintenance and Mechatronics is a comprehensive, standards-based text that provides curriculum support for college-level Industrial Technology Maintenance (ITM) programs. The text carries the exclusive endorsement of NIMS and prepares students to earn up to nine of the nationally-recognized ITM credentials from NIMS.
Industrial Metaverse Building Blocks: An Extended Reality (XR) Model-Based Approach (Maker Innovations Series)
by Alessandro Migliaccio Giovanni Iannone Mark SageExplore the Metaverse’s role in centralizing industrial data. This book introduces the methodology and applications of extended reality (XR) technologies in the life cycle of complex systems as a natural part of model-based systems engineering (MBSE). The integration of extended realities within the Metaverse opens up new possibilities for immersive experiences and enhanced collaboration, making them an indispensable tool to optimize the workflow in large organizations and SMEs. Virtual reality (VR) and augmented reality (AR) technologies enable users to interact with digital models in a more intuitive manner. Starting with the basis of model-based systems engineering, the book is structured into six building blocks (chapters) that outline the process needed to understand how to create and support industrial activities using immersive technology. You’ll see how teams can collaborate remotely in shared virtual spaces, breaking down geographical, language, and shared content barriers while fostering creativity and innovation. Interviews are then provided in chapter 7, in which experts share their experiences deploying the building blocks of the Metaverse in their organization. Industrial Metaverse Building Blocks offers practical insights into the benefits and implementation of mixed reality, guiding you on effectively integrating the technology into your organization to drive innovation and achieve strategic goals. What You Will Learn Access real-time data, ensuring accuracy for stakeholders Utilize 3D and AI for model-based simulations Enhance collaboration through VR and AR integration Implement Model-Based Systems Engineering for industrial tech Increase the efficiency of system engineering/product development with XR/MBSE technology Who This Book Is For Innovation teams, CTOs, CIOs, business unit leads, consultants in XR and Systems Engineering, and vision and strategy creators.
Industrial Networks and Intelligent Systems: 10th EAI International Conference, INISCOM 2024, Da Nang, Vietnam, February 20–21, 2024, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #595)
by Nguyen-Son Vo Dac-Binh Ha Haejoon JungThis book constitutes the refereed proceedings of the 10th EAI International Conference on INISCOM 2024, held in Da Nang, Vietnam, during February 20–21, 2024. The 18 full papers included in this book were carefully reviewed and selected from 41 submissions. They were organized in topical sections as follows: industrial networks and intelligent systems; telecommunications systems and networks; information processing and data analysis; security and privacy.
Industrial Networks and Intelligent Systems: 14th Eai International Conference, Iniscom 2018, Da Nang, Vietnam, August 27 - 28, 2018, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #257)
by Trung Q. Duong Nguyen-Son VoThis book constitutes the refereed proceedings of the 4th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2018, held in Da Nang, Vietnam, in August 2018. The 26 full papers were selected from 38 submissions and are organized thematically in tracks: Telecommunications Systems and Networks; Industrial Networks and Applications; Hardware and Software Design and Development; Information Processing and Data Analysis; Signal Processing; Security and Privacy.
Industrial Networks and Intelligent Systems: 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #293)
by Nguyen-Son Vo Trung Quang Duong Loi K. Nguyen Quoc-Tuan Vien Van-Dinh NguyenThis book constitutes the refereed proceedings of the 5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019, held in Ho Chi Minh City, Vietnam, in August 2019. The 25 full papers were selected from 39 submissions and are organized thematically in tracks on telecommunications systems and networks; industrial networks and applications; hardware and software design and development; information processing and data analysis; signal processing; security and privacy.
Industrial Networks and Intelligent Systems: 6th EAI International Conference, INISCOM 2020, Hanoi, Vietnam, August 27–28, 2020, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #334)
by Nguyen-Son Vo Van-Phuc HoangThis book constitutes the refereed proceedings of the 6th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2020, held in Hanoi, Vietnam, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 26 full papers were selected from 59 submissions and are organized thematically in tracks on telecommunications systems and networks; hardware, software and application designs; information processing and data analysis; industrial networks and intelligent systems; security and privacy.
Industrial Networks and Intelligent Systems: 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #379)
by Nguyen-Son Vo Quoc-Tuan Vien Van-Phuc HoangThis book constitutes the refereed proceedings of the 7th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2021, held in Hanoi, Vietnam, in April 2021.The 39 full papers were selected from XX submissions and are organized thematically in tracks on telecommunications systems and networks; hardware, software and application designs; information processing and data analysis; industrial networks and intelligent systems; security and privacy.
Industrial Networks and Intelligent Systems: 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #531)
by Nguyen-Son Vo Hoai-An TranThis book constitutes the refereed proceedings of the 9th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2023, held in Ho-Chi-Minh City, Vietnam, during August 2-3, 2023. The 23 full papers were selected from 55 submissions and are organized thematically in tracks on telecommunications systems and networks; information processing and data analysis; industrial networks and intelligent systems; security and privacy.
Industrial Recommender System: Principles, Technologies and Enterprise Applications
by Lantao Hu Yueting Li Guangfan Cui Kexin YiRecommender systems, as a highly popular AI technology in recent years, have been widely applied across various industries. They have transformed the way we interact with technology, influencing our choices and shaping our experiences. This book provides a comprehensive introduction to industrial recommender systems, starting with the overview of the technical framework, gradually delving into each core module such as content understanding, user profiling, recall, ranking, re-ranking and so on, and introducing the key technologies and practices in enterprises. The book also addresses common challenges in recommendation cold start, recommendation bias and debiasing. Additionally, it introduces advanced technologies in the field, such as reinforcement learning, causal inference. Professionals working in the fields of recommender systems, computational advertising, and search will find this book valuable. It is also suitable for undergraduate, graduate, and doctoral students majoring in artificial intelligence, computer science, software engineering, and related disciplines. Furthermore, it caters to readers with an interest in recommender systems, providing them with an understanding of the foundational framework, insights into core technologies, and advancements in industrial recommender systems. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.