{"id":14275,"date":"2019-11-07T18:53:21","date_gmt":"2019-11-07T13:23:21","guid":{"rendered":"https:\/\/cigniti.com\/blog\/?p=14275"},"modified":"2020-08-21T17:46:09","modified_gmt":"2020-08-21T12:16:09","slug":"smart-manufacturing-ai-iiot-big-data-5g","status":"publish","type":"post","link":"https:\/\/www.cigniti.com\/blog\/smart-manufacturing-ai-iiot-big-data-5g\/","title":{"rendered":"Smart Manufacturing: building quality in a digital world"},"content":{"rendered":"

iRobot, an advanced technology company, leverages cognitive manufacturing and edge computing within its intelligent robot factory. Based on a six-pronged approach, the robot manufacturer has built a\u00a0<\/span>smart system architecture<\/span><\/a>\u00a0that encompasses intelligent terminal, system management, edge computing node, cloud and cognitive engine, intelligent device unit, and a production line layer.<\/span>\u00a0<\/span><\/p>\n

By enabling efficient information interaction, multimodal data fusion, and automatic production, iRobot has significantly improved the chip assembly and production efficiency in its \u2018smart factory\u2019.<\/span>\u00a0<\/span><\/p>\n

The\u00a0<\/span>fourth<\/span>\u00a0industrial revolution \u2013 Industry 4.0 \u2013 is primarily being driven by the advancements in the field of Artificial Intelligence and Industrial Internet of Things (<\/span>IIoT<\/span>). The cognitive capabilities of AI combined with the real-time connectivity offered by\u00a0<\/span>IIoT<\/span>\u00a0are empowering the manufacturers to obtain end-to-end visibility, facilitate predictive maintenance, and minimize production wastage.\u00a0<\/span>As per a report by\u00a0<\/span>IoT<\/span>\u00a0Analytics, the market for\u00a0<\/span>Industrial Internet of Things<\/span><\/a>\u00a0is expected to surpass $12.4 Billion by 2024 at 40% Compound Annual Growth Rate.<\/span>\u00a0<\/span><\/p>\n

Data analytics is also gaining popularity and prominence in the manufacturing industry. As per a report, approximately 1TB of production data is generated\u00a0<\/span>everyday<\/span>\u00a0in an average factory, but only less than 1% is analyzed by the manufacturers for improving their production cycles. With factories now opening their gates to digital transformation, big data and analytics is expected to find greater role in enhancing process efficiency.<\/span>\u00a0<\/span><\/p>\n

The primary objective of creating a smart manufacturing cycle, other than efficiency, is to guarantee quality results by enabling the shift from reactive to predictive approach. Having an interconnected ecosystem makes it possible for manufacturers to get more work done, with lesser manual resources, in lesser time, at greater productivity.<\/span>\u00a0<\/span><\/p>\n

Looking to derive the benefits of higher flexibility, efficiency, and speed, a German luxury auto-manufacturer is digitalizing its entire value chain. It is trying to build a completely connected smart factory by bringing digitalization into every stage including design, production, sales, and service areas.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n

Smart factories are dedicated to\u00a0<\/span>embedding<\/span>\u00a0and integrat<\/span>ing<\/span>\u00a0quality into every aspect of manufacturing and<\/span>\u00a0production<\/span>. The need for developing a customer-driven value chain, manufacturers are embracing digitalization to serve their digitally-inclined end users. This blog will explore the promises and benefits of smart manufacturing to which manufacturers are opening up their factory doors as well as their pockets.\u00a0<\/span>But first, let us understand the need due to which digitalization h<\/span>as become critical for the manufacturing sector.<\/span>\u00a0<\/span><\/p>\n

What is the need for smart solutions in factories anyway?<\/span><\/b>\u00a0<\/span><\/p>\n