{"id":17634,"date":"2023-10-31T12:37:37","date_gmt":"2023-10-31T12:37:37","guid":{"rendered":"https:\/\/dev2.antsolutions.eu\/?p=17634"},"modified":"2026-03-06T12:58:07","modified_gmt":"2026-03-06T12:58:07","slug":"que-es-una-fabrica-inteligente-explicada-de-forma-sencilla","status":"publish","type":"post","link":"https:\/\/accevo.com\/es\/blog\/what-is-a-smart-factory-simply-explained\/","title":{"rendered":"\u00bfQu\u00e9 es una f\u00e1brica inteligente? Explicado de forma sencilla"},"content":{"rendered":"
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A smart factory is a manufacturing facility that uses advanced technologies to collect and analyse data, automate processes, and make decisions in real time. Smart factories are more efficient, productive, and sustainable than traditional factories. They can produce higher quality products at lower costs, and they can respond to changes in demand more quickly.<\/b><\/p>\n

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Smart Factory is a basic term of Industry 4.0 (Fourth Industrial Revolution) concept and ultimate goral of digital transformation process.<\/b><\/p>\n

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What is the difference between a traditional factory and a Smart Factory?<\/h2>\n

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In a standard factory, operations are largely manual and paper-based. Data is collected and from collecting data is entered into systems manually, and communication is often slow and inefficient. As a result, standard factories can be prone to errors, delays, and waste.<\/p>\n

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Smart factories, on the other hand, use sensors and other devices to collect data from machines and processes in real time. This data is then analysed using artificial intelligence and machine learning to identify trends, patterns, and potential problems. This information is then used to optimise operations, improve quality, and make better decisions faster.<\/p>\n

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Caracter\u00edstica\u00a0<\/strong><\/td>\nStandard Factory\u00a0<\/strong><\/td>\nF\u00e1brica inteligente\u00a0<\/strong><\/td>\n<\/tr>\n
Data collection\u00a0<\/td>\nManual\u00a0<\/td>\nReal-time\u00a0<\/td>\n<\/tr>\n
Communication\u00a0<\/td>\nSlow and inefficient\u00a0<\/td>\nEfficient and fast\u00a0<\/td>\n<\/tr>\n
Informes\u00a0<\/td>\nDuplicate\u00a0<\/td>\nSingle source of truth\u00a0<\/td>\n<\/tr>\n
Indicators\u00a0<\/td>\nInaccurate\u00a0<\/td>\nAccurate\u00a0<\/td>\n<\/tr>\n
Documentation\u00a0<\/td>\nPaper-based\u00a0<\/td>\nDigital\u00a0<\/td>\n<\/tr>\n
Errores\u00a0<\/td>\nHigh\u00a0<\/td>\nLow\u00a0<\/td>\n<\/tr>\n
Response to errors\u00a0<\/td>\nDelayed\u00a0<\/td>\nInstant\u00a0<\/td>\n<\/tr>\n
Tiempo de inactividad\u00a0<\/td>\nCommon\u00a0<\/td>\nRare\u00a0<\/td>\n<\/tr>\n
Control over machinery\u00a0<\/td>\nLimited\u00a0<\/td>\nComprehensive\u00a0<\/td>\n<\/tr>\n
Gesti\u00f3n de existencias\u00a0<\/td>\nSuboptimal\u00a0<\/td>\nEfficient\u00a0<\/td>\n<\/tr>\n
Utility consumption\u00a0<\/td>\nUncontrolled\u00a0<\/td>\nControlled\u00a0<\/td>\n<\/tr>\n
Greenhouse gas emissions\u00a0<\/td>\nUnaccounted for\u00a0<\/td>\nAccounted for\u00a0<\/td>\n<\/tr>\n
Readiness for change\u00a0<\/td>\nLow\u00a0<\/td>\nHigh\u00a0<\/td>\n<\/tr>\n
Sostenibilidad\u00a0<\/td>\nLow\u00a0<\/td>\nHigh\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
The table illustrates some of the key differences between standard and smart factories. In the standard factory, workers are manually collecting data and entering it into systems. Communication is also slow and inefficient, as workers need to relay information to each other verbally or via paper-based documents. This can lead to errors and delays.
In the smart factory, sensors and other devices are collecting data from machines and processes in real time. This data is then analyzed using artificial intelligence and machine learning to identify trends, patterns, and potential problems. This information is then used to optimize operations, improve quality, and make better decisions faster.<\/em><\/figcaption>\n<\/figure>\n

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The Introduction of Industrial Automation<\/h2>\n

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The introduction of industrial automation has a long and rich history, dating back to the early 19th century. The first industrial automation devices were simple machines that were used to automate repetitive tasks, such as weaving and spinning. As technology advanced, more sophisticated automation devices were developed, such as the programmable logic controller (PLC) in the 1970s.<\/h3>\n

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PLCs revolutionized industrial automation by making it possible to create complex and flexible automation systems. PLCs can be used to control a wide range of machines and equipment, and they can be programmed to perform a variety of tasks. This flexibility has made PLCs the most widely used automation devices in the world.<\/p>\n

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The introduction of industrial automation has had a profound impact on the manufacturing industry. Automation has led to significant increases in efficiency and productivity, and it has also helped to improve the quality of manufactured products. In addition, automation has created new jobs in the fields of engineering, maintenance, and programming.<\/p>\n

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Today, industrial automation is used in a wide range of industries, including manufacturing, automotive, food and beverage, aerospace, and healthcare. Automation is helping businesses to improve their efficiency, productivity, quality, supply chain management and competitiveness.<\/p>\n

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What Technologies are used in a Smart Factory today?<\/h2>\n

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Smart factories use a variety of technologies to improve efficiency, productivity, and quality. Some of the most common technologies include:<\/p>\n

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Internet of Things (IoT)<\/strong>: IoT devices collect data from machines, sensors, and other equipment throughout the factory. This data can be used to track production progress, identify potential problems, and make better decisions.<\/p>\n

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Optical sensor in an example of IoT device being used in smart manufacturing<\/figcaption><\/figure>\n<\/figure>\n

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Artificial intelligence (AI)<\/strong>: AI is used to analyse data from IoT devices and other sources to identify patterns and trends. This information can be used to predict problems, optimize production, and make better decisions.<\/p>\n

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Robotics and automation<\/strong>: Robots and automation are used to perform tasks that are repetitive, dangerous, or difficult for humans to do. This can free up workers for more complex work and improve the overall efficiency of the factory.<\/p>\n

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Big data analytics<\/strong>: Big data analytics is used to process and analyse large amounts of data from IoT devices and other sources. This information can be used to identify trends, patterns, and insights that would be difficult to find manually.<\/p>\n

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Digital twins<\/strong>: Digital twins are virtual representations of the physical factory. They can be used to simulate production processes and identify potential problems before they occur.<\/p>\n

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Additive manufacturing (3D printing)<\/strong>: 3D printing is used to create prototypes and custom parts. This can reduce the time and cost of product development and manufacturing.<\/p>\n

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Edge computing<\/strong>: Edge computing is a decentralised approach to computing that brings processing power and storage closer to the source of data. This can improve performance and reduce latency in smart factories.<\/p>\n

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Edge devices are becoming more and more popular to enable data analytics in the cloud.<\/figcaption><\/figure>\n<\/figure>\n

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Cloud computing<\/strong>: Cloud computing provides a platform for storing and processing data from IoT devices and other sources. It also provides access to software applications that can be used to analyse data and manage production.<\/p>\n

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Manufacturing software<\/strong>: IT solutions provide a backbone of modern digital factory. They allow to seamlessly transfer data from physical to digital world, tracking progress and ensure end-to-end traceability.<\/p>\n<\/div>\n

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Operator panels with modern manufacturing software enables plants to become true Smart Factories.<\/figcaption><\/figure>\n<\/figure>\n

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Augmented reality (AR)<\/strong>: AR is used to provide workers with real-time information about the machines and products they are working on. This can improve efficiency and quality.<\/p>\n

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Factories face numerous challenges both at the local and global levels<\/h2>\n

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Local challenges<\/h3>\n

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Global challenges<\/h3>\n

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