Data management tool enhances line performance monitoring for food industry compliance
27 February 2017
To support global food manufacturers in meeting the documentation and active managerial control requirements of the Food Safety Modernisation Act (FSMA) when exporting their products to the US, Mettler-Toledo Product Inspection has launched the enhanced ProdX 2.0 data management software system.
Designed for use on food lines, as well as in pharmaceutical and chemical processing, this
data management software package connects product inspection equipment across the production line into a single, unified network.
In doing so, it is able to collect in-depth data about productivity and product quality issues, such as foreign body contamination, and access it in real-time from a centralised location. ProdX 2.0 records the date, time, location of the reject, and the reason for removal. It is now also able to store verifying documentation about the active managerial control measures taken to prevent incidents re-occurring in the future, ensuring compliance with the new Hazard Analysis and Risk-Based Preventative Controls (HARPC) requirements of the FSMA, as well as pharmaceutical and product quality guidelines.
To ensure optimum product inspection documentation ProdX 2.0 is able to manage data from a range of product inspection machines, including X-ray systems, metal detectors, checkweighers and vision inspection equipment. It is even capable of storing X-ray and vision inspection images of rejected packs to allow further analysis of rejection incidents by operatives at a later date.
ProdX 2.0 can also help boost productivity. Featuring a new standardised OPC Unified Architecture (OPC UA) server interface, and able to support PackML tags, the software can be seamlessly integrated into existing production line networks, not only connecting Mettler-Toledo systems, but also equipment and computer interfaces supplied by other manufacturers. This enables the software to collect data about the performance of all the inspection machines on the production line – from throughput speed to instances of product over- or under-fill – enabling the calculation of the overall equipment effectiveness (OEE) of the manufacturing process by the company’s control and MES system.
Contact Details and Archive...
Most Viewed Articles...