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Computer algorithms

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Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and actionable business model. This book offers a primer, helping readers understand this paradigm shift from industry 1.0 to industry 4.0. The focus is on grasping the necessary pre-conditions, development & technological aspects that conceptually describe this transformation, along with the practices, models and real-time experience needed to achieve sustainable smart manufacturing technologies. The primary goal is to address significant questions of what, how and why in this context, such as: What is Industry 4.0? What is the current status of its implementation? What are the pillars of Industry 4.0? How can Industry 4.0 be effectively implemented? How are firms exploiting the Internet of Things (IoT), Big Data and other emerging technologies to improve their production and services? How can the implementation of Industry 4.0 be accelerated? How is Industry 4.0 changing the workplace landscape? Why is this melding of the virtual and physical world needed for smart production engineering environments? Why is smart production a game-changing new form of product design and manufacturing?

Manufacturing processes. --- Industrial processing --- Manufacture --- Process engineering (Manufactures) --- Processes, Manufacturing --- Processing, Industrial --- Production processes --- Industrial arts --- Production engineering --- Machine-tools --- Materials --- Robotics. --- Automation. --- User interfaces (Computer systems). --- Big data. --- Industrial organization. --- Industrial engineering. --- Production engineering. --- Sustainable development. --- Robotics and Automation. --- User Interfaces and Human Computer Interaction. --- Big Data/Analytics. --- Industrial Organization. --- Industrial and Production Engineering. --- Sustainable Development. --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Industries --- Organization --- Industrial concentration --- Industrial management --- Industrial sociology --- Data sets, Large --- Large data sets --- Data sets --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Environmental aspects --- Robòtica. --- Automatizació. --- Desenvolupament sostenible. --- Enginyeria de producció. --- Interfícies d'usuari (Informàtica). --- Interfícies d'usuari (Sistemes d'ordinadors) --- Interacció persona-ordinador --- Enginyeria de la producció --- Enginyeria de fabricació --- Enginyeria de processos --- Enginyeria de procediments --- Producció, Enginyeria de --- Tècnica de la producció --- Enginyeria dels procediments --- Enginyeria industrial --- Enginyeria mecànica --- Creixement sostenible --- Desenvolupament sustentable --- Sostenibilitat --- Desenvolupament econòmic --- Automatització --- Màquines, Teoria de --- Aspectes ambientals

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Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and actionable business model. This book offers a primer, helping readers understand this paradigm shift from industry 1.0 to industry 4.0. The focus is on grasping the necessary pre-conditions, development & technological aspects that conceptually describe this transformation, along with the practices, models and real-time experience needed to achieve sustainable smart manufacturing technologies. The primary goal is to address significant questions of what, how and why in this context, such as: What is Industry 4.0? What is the current status of its implementation? What are the pillars of Industry 4.0? How can Industry 4.0 be effectively implemented? How are firms exploiting the Internet of Things (IoT), Big Data and other emerging technologies to improve their production and services? How can the implementation of Industry 4.0 be accelerated? How is Industry 4.0 changing the workplace landscape? Why is this melding of the virtual and physical world needed for smart production engineering environments? Why is smart production a game-changing new form of product design and manufacturing?

Methodology of economics --- Business policy --- Production management --- Business management --- Business economics --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- financieel management --- automatisering --- industrie --- productie --- duurzame ontwikkeling --- gegevensanalyse --- robots --- interfaces

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Internet of things. --- Artificial intelligence --- Machine learning. --- Medical applications. --- Learning, Machine --- Machine theory --- Medicine --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Data processing --- Aprenentatge automàtic --- Intel·ligència artificial en medicina --- Internet de les coses

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This book collects selected aspects of recent advances and experiences, emerging technology trends that have positively impacted our world from operators, authorities and associations from CCIE 2022, to help address the world's Advanced Computing, Control Technology, Information Technology, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks. Meanwhile, the topics included in the proceedings have high research value and present current insights, developments and trends in computing, control and industrial engineering.

Methodology of economics --- Mathematics --- Electrical engineering --- Applied physical engineering --- Engineering sciences. Technology --- Production management --- Business management --- Business economics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- financieel management --- automatisering --- economie --- productie --- wiskunde --- ingenieurswetenschappen --- elektrotechniek --- automatische regeltechniek