Big data refers to the large volume of data that is generated and captured by organizations, which cannot be efficiently processed by traditional data processing techniques.
In the manufacturing domain, big data involves the analysis of extensive datasets captured from various sources such as sensors, equipment, and production systems to optimize processes and improve efficiency. Utilizing technologies like machine learning and predictive analytics, it helps in real-time decision-making, predictive maintenance, and enhanced product quality due to its capability to handle volume, velocity, and variety of data.
A manufacturing plant uses predictive analytics on sensor data collected from equipment to reduce downtime by scheduling maintenance activities at optimal times.
Common in smart factories implementing Industry 4.0 solutions, where equipment and processes are continuously monitored.
Analyzing production line performance by processing 1 petabyte (PB) of data daily to enhance throughput and reduce waste by 10%.
Widely used in high-volume manufacturing sectors such as automotive and consumer electronics.