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Case Study: Maintain Your Margin with Smart Process Control

How advanced SQC solutions help to reduce costs in food production

A global frozen-pizza manufacturer sought to enhance filling and quality control without investing in a completely new software solution. By expanding the company’s existing solution, management has been able to fight rising raw material costs while still meeting critical net-content legislation.

 

This success story summarizes how you can benefit from:

  • Expanded quality data insights
  • Advanced control options and smart technologies
  • Reduced filling and material costs

 

Adjustment Module for Filling Optimization

Adjustment algorithms automatically generate a message when fill quantities deviate from the specified nominal. Select from two adjustment algorithm options: Either METTLER TOLEDO’s proprietary algorithm, which calculates up to 200 values for necessary adjustments, or the CuSum algorithm for challenging fill products.

Attribute and Testplan Module for Visual Data Integration

Monitoring product quality attributes that require visual or sensory assessment is also increasingly important. Attributes such as correct label placement and expiry data are crucial for consumer acceptance. With this module, the results of these checks are entered in preconfigured FreeWeigh.Net templates, allowing subsequent graphical representation with bar or pareto charts.

Device Integration Module for Increased Data Usage

This generic driver supports integration of data from METTLER TOLEDO devices as well as those of other manufacturers. It is easily configured for third-party measurement equipment via an intuitive communication interface. Easy device integration can enhance available data quality to provide additional qualification for process improvement decisions.