Optimize OT Network Quality from Management Perspective
Research consistently reveals concrete benefits to quality, safety, and revenue growth through the deployment of smart factory technologies that combine advanced technical capabilities such as Industrial IIoT, cloud and edge computing, robotic process automation, artificial intelligence and machine learning, and vision systems. All of these applications are initiated from “Data”, which is the lifeblood of driving innovation, identifying new business models, and new value-added services and offerings that deliver meaningful value to customers. IDC forecasts that, by 2025, the global generation of data will grow to 163ZB — that's 10 times the 16.1ZB of data generated in 2016.
Connectivity as Critical
Data collection begins with “Connectivity”, which is typically one of the most critical factors driving smart factories. In fact, it is no exaggeration to say the smart factory and its resulting value generally hinge on the ability to connect assets, processes, people and devices. Reflecting this, 33% of smart factory leaders in the recent Deloitte-MAPI survey identified lack of necessary network infrastructure as significant impediment to smart factory initiatives.
However, achieving connectivity in factories is no small task. Many successful smart factory transformation leaders point out to the need to consider user-oriented perspectives to achieving business objectives when designing network connectivity for smart factories. By focusing on the user first, they ask not only “How do we make operation and process more efficient?” but also “How do we make applications relevant and valuable to the user?” Factory leaders can create Monitoring Interfaces and Management Mechanism to consistently optimize “Connectivity Quality” in factory.