Smart manufacturing

Smart manufacturing and digital manufacturing employ real-time data and connectivity between machines to enable automation and analytics. Also known as Industry 4.0 or industrial IoT, smart manufacturing enables manufactures to maximize the yield from existing production capabilities and develop the next generation of production capabilities necessary to compete in a digital economy (IDC).

Platform Benefits

Increased Productivity

Optimization of Resources

Enabling innovations and technologies

Predictive Maintainance

Smart manufacturing is grounded in cloud connectivity. It is a combination of human creativity, digitally connected machines and assets, and AI-powered systems and analytics. The integration of AI and smart tools helps fuel adaptability and speeds up the capacity to customize outputs based upon real-time data and intel. The visibility, agility, and resilience of smart manufacturing makes it a cornerstone of more efficient supply chain models and overall business operations. Ixorio Controls helps its customers achieve true Smart Manufacturing scenarios leveraging traditional technologies like Manufacturing Execution System (MES) and supplier platforms, and merging these systems and data with cutting edge advancements like Cloud, Internet of Things (IoT), Analytics, Manufacturing Intelligence. 

Smart Manufacturing Technologies

Making your manufacturing processes “smart” is part of the Industry 4.0 transformation. The Industry 4.0 landscape includes critical considerations such as cybersecurity and strategic business integration. However, in this section, we will only look at the most fundamental technologies that underpin smart manufacturing practices.

Smart Manufacturing Features

This includes IoT, Cloud Whether public, private, or hybrid, the cloud is the conduit through which all data and information flows across a smart factory. Business-wide and global cloud connectivity ensures that each area of the business is operating with real-time data and that there is immediate visibility into all the connected assets and systems within the supply chain.

Operational systems that use integrated AI technologies have the speed, power, and flexibility to not only gather and analyze disparate data sets, but to provide real-time insights and responsive recommendations. The automated processes and intelligent systems within a smart factory are continually optimized and informed by artificial with real-time data and that there is immediate visibility into all the connected assets and systems within the supply chain.

One of the most valuable benefits that machine learning brings to the smart factory is its capacity for advanced predictive maintenance.
By monitoring and analyzing manufacturing processes, alerts can be sent out before system failure occurs. Depending upon the situation,
automated maintenance can take place or, if necessary, human intervention can be recommended.

Robust and large data sets allow predictive and advanced analytics to take place in a smart factory. Businesses have long understood the strategic value of Big Data but, until recently, have often lacked the systems necessary to make meaningful use of it. Digital transformation in supply chains and smart factories has opened up a world of potential for businesses to optimize and innovate using Big Data insights.

In a smart factory, when devices and machines are fitted with unique identifiers and the ability to send and receive digital data, they comprise an IIoT network. Modern machinery may already have digital portals but even decades-old analog machines can be fitted with IIoT gateway devices to bring them up to speed. Essentially, data sent from the device reports on its status and activity, and data sent to the device controls and automates its actions and workflows

An exact, virtual replica of a machine or system becomes its digital twin. It allows for maximum innovation and creativity with minimal operational risk. A digital twin can be pushed to its limit, reconfigured in multiple virtual ways, or tested for its compatibility within an existing system – all without everincurring risk or resource wastage in the physical world.

Fully-integrated, collaborative manufacturing systems that respond in real time to meet changing demands and conditions in the factory, in the supply network, and in customer needs”. Smart manufacturing is the practice of “leveraging technology and data in a continuous loop to connect product development, design, manufacturing, supply chain, and post-sale activity to increase revenue and improve manufacturing outcomes.

Connectivity, data and computational power

This includes IoT, Cloud Monitoring with MES or ERSP tools, and Blockchain.

Analytics and intelligence

This feature encompasses fully evolved data analysis, thanks to Artificial Intelligence, Machine Learning and Deep Learning

Genuine human-machine interaction.

Virtual reality, robotics and automation at the service of human needs.

Advanced engineering

From the creation of Digital twins, to the meticulous work with nanoparticles.