Use Cases Factory Operations Visibility & Intelligence

Factory Operations Visibility & Intelligence

Visualizing factory operations data is a challenge for many manufacturers today. One of the IIoT initiatives some manufacturers are pursuing today is providing real-time visibility in factory operations and the health of machines. The goal is to improve manufacturing efficiency. The challenge is in combining and correlating diverse data sources that greatly vary in nature, origin, and life cycle. Factory Operations Visibility and Intelligence (FOVI) is designed to collect sensor data generated on the factory floor, production-equipment logs, production plans and statistics, operator information, and to integrate all this and other related information in the cloud. In this way, it can be used to bring visibility to production facilities, analyze and predict outcomes, and support better decisions for improvements.
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IIC - Factory Automation Platform as a Service (FA-PAAS) Testbed
IIC - Factory Automation Platform as a Service (FA-PAAS) Testbed
In recent years, amid increasingly intense global competition in the manufacturing industry, there has been a growing demand for more rapid product development and market introduction, quality improvements and shorter lead times in order to quickly respond to the rapidly changing market environments and management environments through the introduction of new technologies and collaborations between companies. In this backdrop, there has been a growing expectation for overall optimization that uses data related to manufacturing in the increasingly global supply chain to connect the front lines of manufacturing with management, suppliers, and customers. This in turn has given rise to a need for secure connections between a variety of devices in FA environment and cutting-edge IT services (e.g., Big Data and the cloud) and for the accelerated development of applications in the field of next-generation factories connecting business-to-business (B2B) applications unleashing real economic value to effectively compete in the global marketplace.
Tetro Factory's Efficiency Improvements
Tetro Factory's Efficiency Improvements
Tetro factory had the following challenges: - Controlling the production flow, tracing mistakes and optimizing performance. - Running a fully integrated knowledge-based business with systems that work seamlessly together. - Centralizing manufacturing production data into one system that can be viewed and analyzed from a single-point-of-entry. - Pinpointing in real-time which stations are compromising production and what can be done to restore and improve efficiency. -Implementing preventative maintenance and ensuring minimum downtime. - Monitoring energy consumption and optimizing material consumption per product.
Getting the Torque Just Right Could Save Millions for Aerospace Companies
Getting the Torque Just Right Could Save Millions for Aerospace Companies
GE Aviation loses millions of dollars each year to errors made at key points during the assembly and overhaul of its engines. The costs show up in lost productivity, delays in testing, delays in customer deliveries, and the man-hours required to troubleshoot and correct faults. If errors arenʼt detected until after the engines are sent to customers, the repair costs exponentially increase.B-nuts are one such key manufacturing point. They play a critical role in aircraft engine fluid lines and hoses, providing a sturdy, reliable seal―but only if tightened and torqued properly. If not torqued properly, there will be a need for a maintenance do-over, cancelled flight, or even an in-flight shut down.

The industrial control and factory automation market are expected to reach USD 269.5 billion by 2024 from USD 160.0 billion in 2018, at a CAGR of 9.08%.

Source: markets and markets

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