Collecting data manually from the manufacturing floor leaves a lot of room for error. Inaccurate and incomplete information makes it hard to determine how well processes are running and what needs improvement. Several problems arise from manual data entry:
Automated data collection, through barcode scanning devices and RFID readers, saves time and reduces errors and inaccuracies. Data goes directly from the point of collection to the server. Real-time data collection gives a manufacturer a better idea of what works well and what doesn’t. It isn’t just average performance that matters. A unit may have plenty of capacity 90% of the time but become a bottleneck during peak periods. Measuring it once during a shift won’t reveal the problem. With real-time data, management can see that upgrading it will provide a huge return.
Customers who subcontract processes want accurate information on production. Providing it to them on a timely basis is easier when it’s automated, and it will give them more confidence. They can use it to break down their costs more accurately. More customer confidence leads to more orders.
To learn how your business can bring integrated data collection into its manufacturing processes, contact Radley Corporation for a free consultation.
Tune in to hear from Chris Brown, Vice President of Sales at CADDi, a leading manufacturing solutions provider. We delve into Chris’ role of expanding the reach of CADDi Drawer which uses advanced AI to centralize and analyze essential production data to help manufacturers improve efficiency and quality.