Work in process (WIP) tracking typically involves the use of various technologies to collect and process data in real-time. This can include the use of barcode scanners, RFID readers, and sensors to track the movement and location of items as they move through the production process.
The data collected from these technologies is then transmitted to enterprise systems, where it can be analyzed and used to make decisions about the production process. This may involve identifying bottlenecks in the production line, monitoring inventory levels, and predicting when specific items will be needed in order to maintain production efficiency. Additionally, the use of advanced analytics and machine learning algorithms can help to optimize the production process even further, by identifying patterns and trends in the data that may not be immediately apparent to human operators.