Imagination What we can easily see is only a small percentage of what is possible.
Today, to increase productivity, companies must implement new systems and automation, this happens through sensors and IoT devices. The goal of SM is to identify opportunities for automating operations and use data analytics to improve manufacturing performance. With Ikarus is possible to increase the security and increase the quality of the supply chain, With Ikarus Manufacturing is possible to connect not just the sensors IoT but moreover all kinds of automation. Ikarus bring blockchain to Industry 4.0.
The Industrial Internet of Things speeds up response times
The ability to connect, automate, track and analyze is required for manufacturing success — Industrial IoT (IIoT) and Ikarus Manufacturing Network are the keys to facilitating this and is the core of any successful digital transformation. Today’s IIoT solutions provide a real-time asset performance monitoring solution but all in the cloud with web service. Ikarus is key for reducing the cyber risk, Ikarus is not necessarily used the web service or the internet, but with our radio standard, it’s not necessary to use the internet for storing the information in the Ikaru network. They give users a highly visual, historically contextualized view of any asset in any facility to help operators and supervisors visualize trends graphically – from anywhere in the world, on any connected device. Real-time insights speed up response time, even to the point of enabling manufacturers to respond to potential issues before they happen. Machine data is also tracked and unified contextually, enabling everything from historical views to overlay charts and projections, arming manufacturers with the data they need to make the best business decisions.
Machine Learning and AI lead to better decisions
With the increase in interconnected data across manufacturing operations (e.g., ERP, MES, SCP) and sensors in IIoT comes a need to analyze and act on all that data, becoming more predictive and agile. With the Ikarus Machine learning (ML) and artificial intelligence (AI) — which are capable of analyzing data on a vast scale to generate meaningful insights — are instrumental to success. The Ikarus Manufacturing ML and AI enable manufacturers to access, measure, collect and process data at scale, giving them the insights they need to avoid the risk of being overly reactionary and slow to change course. In 2021, the most competitive manufacturers leveraged ML and AI to tap into trends humans alone might not be able to spot, but all by the web server, generating these insights entirely automatically so that operators and planners can make more informed decisions. This predictive capability also supports better agility; when unplanned factory or supply chain events occur, AI is best equipped to suggest the best possible workaround in the shortest amount of time, further minimizing costs and downtime. Ikarus can resolve the problem of the use of AI and ML with a web server because all information are refined and ready to use, directly inside the node of Ikarus Manufacturing and is available in absence of the internet.
Ikarus can potentially address key pain points, which include monitoring supply chains, counterfeit detection, asset tracking, quality assurance and regulatory compliance. The way Ikarus technology distributes information means in addition to increasing transparency, none of this data is housed in a single location. For manufacturers still operating on a centralized system one natural disaster away from disruption of the internet or if receive cyber attacks.
15 Benefits of Ikarus Manufacturing
- Better collaboration and knowledge sharing
- Improved data insights
- Maximized plant efficiency
- Faster issue resolution
- Tracking products across the value chain
- Seamless data exchange
- Better safety and quality control
- Continual production improvement
- Ensure on-time delivery
- Minimize human errors
- Maximize energy efficiency
- More-secure production
- Encrypted communication
- Storage distributed
- AI & ML for predictions of production and maintenance