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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Boiler Control System for Plastic Manufacturing Applications
Boiler Control System for Plastic Manufacturing Applications
Factory automation applications must be equipped to handle and monitor the myriads of information from attached devices. For plastic manufacturing applications, the boiler control system plays a critical role by gathering and regulating information to ensure production is accurate and smooth. In this particular case, the customer combines eight subsystems that include power meters, water meters, alarm output, displays, and I/O status to be controlled by several intelligent controllers with Modbus RTU interface. The Modbus TCP protocol is used for this application due to the distance. System Requirements: • Modbus serial to Modbus TCP translation • Multiple slaves/masters support • Automatic Modbus TCP response time detection
Testing Engagement for a Fortune 500 Manufacturing Company
Testing Engagement for a Fortune 500 Manufacturing Company
The client wanted to reduce operating costs while increasing efficiency and consistency within the IT and quality assurance organizations. Executive management mandated continuous process improvement, but the environment lacked consistent processes or tools to manage. A cost-effective software testing was needed.
Tray Identification at the Kennametal Drill Plant
Tray Identification at the Kennametal Drill Plant
Kennametal's high quality drill bits along with their associated aluminium trays where they are arranged go through a thorough cleaning process involving ultrasound, damp and vacuum cleaning processes after machining is performed. Before entering this washing facility, the order documents and the tray are separated and then re-allocated after cleaning. A work step that involves a risk as analyses have shown that, on occasion, trays and order documents were allocated incorrectly after cleaning. Drills went through coating processes that were supposed to be used for a different order. Hence, there was a need to eliminate mix-ups altogether.

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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