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.
In this episode, I sit down with Chris LaCorata, founder of Graasi, to explore his entrepreneurial journey and the story behind creating a brand centered on health, sustainability, and innovation. Chris shares the inspiration that led him to launch Graasi, how he’s navigating today’s competitive beverage market, and the values driving his vision for the future. Whether you’re interested in wellness trends, startup challenges, or the creative spark behind building a purpose-driven company, this conversation offers fresh insights straight from the founder himself.