Factory Operations Visibility & Intelligence
Overview
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.
Applicable Industries
- Heavy Vehicle
- Automotive
Applicable Functions
- Discrete Manufacturing
Market Size
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
Case Studies.
Case Study
IoT Gateway Enables Faurecia to Improve Traceability for Customers
While Faurecia has a long track record of providing its customers with exemplary products, the increasing need to provide customers traceability for the parts it was producing motivated the company to further support these efforts. The large automotive OEMs expected Faurecia to be able to both track the process of operations and production and to make that information available on demand. For example, customers wanted to know which airbags were added to which cars, as well as detailed data characteristics about how each airbag was installed, including torque and angle of installation.
Case Study
An In-Depth Look Into Helium's Decentralized Machine Network
The Internet of Things is an $800 billion industry, with over 8.4 billion connected devices online, and spending predicted to reach nearly $1.4 trillion by 2021 [1]. Most of these devices need to connect to the Internet to function. However, current solutions such as cellular, WiFi, and Bluetooth are suboptimal: they are too expensive, too power hungry, or too limited in range.
Case Study
Reliable Identification Solutions for the Automotive Industry
High quality standards and full material traceability are essentialrequirements for identification solutions in the automotiveindustry. Parts identification and container management areconsidered to be important factors for a problem-free productionprocess. The labels must also retain their adhesive properties on many different types of surfaces - from porous structures to oilymaterials. The labels should also be able to withstand rugged, high-temperature environments without tearing or peeling off.