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Quality Control Predictive Analytics Use Case - Smarten

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sing advanced analytics to identify quality issues will improve production processes, protect the business against liability claims and allow the organization to focus on quality issues and change product design and/or processes.

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Quality Control Predictive Analytics Use Case - Smarten

  1. 1. Quality Control Predictive Analytics Use Case
  2. 2. Quality Control Sample Application Description • Businesses that fail to control quality will lose customers and market share and, in some cases, expose the organization to legal risk and liability. Predictive quality control is define to maintain red wine quality by observing effective factors of wine.
  3. 3. Target Quality Category Quality Control Sample Application
  4. 4. • Effecting factors of wine quality such as acid, sulphates residual sugar, chlorides. • Other influencing components - density, PH, alcohol level etc. Influencing Factors Quality Control Sample Application
  5. 5. Classification is the method used for classifying numeric and/or categorical data into two groups based on predefined categories. • Higher classification accuracy (>=70%) means the results are reliable and accurate. • Lower classification accuracy (<70%) means the model needs to be rebuilt using different input parameters. Algorithm(s) Quality Control Sample Application
  6. 6. Training dataset Quality Control Sample Application
  7. 7. Testing dataset Quality Control Sample Application
  8. 8. Model Visualization Quality Control Sample Application
  9. 9. Model Visualization Quality Control Sample Application
  10. 10. Model Summary Quality Control Sample Application
  11. 11. Interpretation Quality Control Sample Application
  12. 12. Simulation Quality Control Sample Application
  13. 13. Result • Flag containing Quality category information with ‘High’ and ‘Low’ values. Quality Control Sample Application
  14. 14. Single Apply To predict Quality of Red wine, we carried out using APPLY functionality shown below. Quality Control Sample Application
  15. 15. Result Quality Control Sample Application
  16. 16. Prediction • Comparison of predicted quality category and actual quality category Quality Control Sample Application
  17. 17. Prediction Accuracy Predicted Values Actual Values • Prediction Accuracy is: 43.95 % Quality Control Sample Application
  18. 18. Quality Control Predictive Analytics Use Case For more information, contact us today. www.Smarten.com contact@Smarten.com Smarten – Quality Control Use Case - 2020

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