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 that could be solved with integrated data collection:
People, unlike machines, can’t constantly log information if they’re going to get anything else done. They’ll note data every few hours, at best, and it takes longer to get the information into the database. The available information isn’t anywhere close to real-time.
If operators don’t have time to take measurements, they may just make up numbers. Conversely, if it’s a slow day they may fudge the data to give the appearance of having worked harder.
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 for more accurate cost break downs. More customer confidence leads to more orders.