Automated Data Collection Reduces Errors

Manual Recording vs Automated Data Collection with a Data Logger
Humans make errors…it is a well-known fact. Accurate production data is of critical importance to many manufacturing companies. Quality control best practices and production traceability requires error-free data collection with automated data collection from many manufacturing processes including heat treat ovens and composite cold storage. Elimination of recording errors, data entry errors, and reduction of labor costs while increasing accuracy and quality of data in order to provide reporting to end customers is a recent application requirement presented to CAS DataLoggers. The recommended solution of the dataTaker DT85 Universal Data Logger provided measurable results to the client.