What is Industry 4.0?

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what is smart manufacturing industry 40

Smart manufacturing uses advanced technologies — like cloud computing, IoT, AI and automation — to expedite production processes, allowing your organization to meet customer requirements quickly while cutting costs over time.

Key to reaching this goal lies in accurate data. Utilizing smart technologies, you can gather real-time and granular insights from machine control systems.


Automation means freeing human operators of repetitive work so that they can devote more of their attention and energy towards maintenance, quality assurance, and system upgrades – leading to faster production speeds all-round, increased revenue/profitability/downtime for the business as a whole, and reduced downtime overall.

Automated data collection and visual inspection processes that utilize AI are helping manufacturers detect systemic errors more rapidly than ever, leading to less costly mistakes at later stages of production, customer returns and refunds being minimized, as well as saving customers money through increased efficiency.

Cloud connectivity enables real-time data access across an entire supply chain, providing manufacturers with real-time access to real-time information that allows them to react swiftly to changing customer trends and demands, while at the same time being able to deliver custom products at similar costs to mass produced ones. Thanks to generative design technology and automation capabilities, custom products can now be delivered without additional cost due to cloud connectivity – something only accessible for companies prepared for transition and have developed strong human/technology symbioses.

Artificial Intelligence

Smart manufacturing enables businesses to improve productivity while decreasing costs using technologies such as industrial automation, connected supply chains and artificial intelligence (AI). Furthermore, these systems help improve quality while creating more environmentally sustainable products.

Artificial Intelligence (AI) can be used to collect, interpret and analyze sensor data collected across a factory. AI is capable of helping identify problems, optimize operations and predict future needs as well as automate processes and improve decision-making processes.

AI can assist businesses in meeting their sustainability goals by reducing waste and energy consumption, optimizing use of raw materials and transportation costs and helping enhance product quality and safety.


IoT technology is revolutionizing smart manufacturing by providing real-time tracking of equipment and raw materials, which allows manufacturers to optimize energy efficiency, reduce costs, and mitigate their environmental footprint.

Smart factories equipped with IoT capabilities can monitor production processes in real-time and automatically collect data for analysis, using this information to enhance and automate their production processes, ultimately producing more bespoke products more quickly and efficiently for customers.

IoT-enabled smart factories also allow for predictive maintenance, which can reduce machine downtime and boost productivity during component production processes, yielding substantial cost savings for companies that may outweigh any upfront investments needed for implementation of this technology. Furthermore, this smart factory technology can integrate seamlessly with other systems for maximum efficiency; such as logistics systems, customer relationship management platforms or inventory control management software systems to provide manufacturers with complete solutions that cover everything they need from logistic to inventory control needs.

Big Data

Smart manufacturing relies on collecting and analyzing a lot of data collected via sensors, which enables manufacturers to enhance product quality, reliability and productivity. Unfortunately, this massive amount of information can present companies with numerous challenges; fortunately, new technology makes collecting and interpreting this data simpler and makes sense of it all.

Traditional manufacturing techniques focused on economies of scale and machine utilization; consequently, machines would continue to run even when not producing anything. Thanks to automation, analytics, and artificial intelligence solutions, manufacturers can now produce around the clock while minimizing costly downtime costs.

Manufacturers can enhance customer relationships by collecting and analyzing data from customers. This data can reveal crucial insights, such as which products are popular with users and their use patterns; new product development; quality enhancement for existing ones; revenue increases while costs decrease and transparency improves throughout an organization; thus making smart manufacturing an essential element of all successful organizations of any size.

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