Best Practices in Data Collection and Analytics for Food Safety Management

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Food Safety Management Systems (FSMS) are a special case of Manufacturing Operations Management. Like all MOM systems, a successful FSMS depends upon the proper data being collected properly, analyzed and role specific information and alerts being delivered to each person in the company and supply chain. The presentation examines industry best practices and how they can be applied to food safety and supply chain management.

http://www.nwasoft.com/resources/webinars/best-practices-data-collection-successful-manufacturing-intelligence

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Best Practices in Data Collection and Analytics for Food Safety Management

  1. 1. Best Practices in Data Collectionand Analytics for Food Safety Management Jeffery Cawley VP Industry Leadership Northwest Analytics May 8, 2012
  2. 2. Agenda Manufacturing Systems/Intelligence Data Quality Data Collection Data Collection Best Practices Analytics Best Practices
  3. 3. ISA 95 Activity Levels Business Planning & LogisticsLevel 4 Plant Production Scheduling, Operational Management, etc ManufacturingLevel 3 Operations & Control Dispatching Production, Detailed Production Scheduling, Reliability Assurance, ...Level 2 Batch Continuous Discrete Control Control ControlLevel 1
  4. 4. Manufacturing Intelligence (MI) Aggregation Contextualization Analysis Visualization Propagation*AMR/Gartner
  5. 5. Automated Data Collection MESA 2012 - http://bit.ly/IFCWfp
  6. 6. Best-In-Class PerformanceStandardized KPIs Across Enterprise Aberdeen 2011
  7. 7. Metrics Program Maturity MESA 2012
  8. 8. Minimum Ante: Good Data Operations Supply-chain compliance Regulatory compliance
  9. 9. Regulatory Ante: Good Data in Good Systems Organizations  Standards FSMA GFSI HACCP CAPA ISO 22000 ISO 9001 PAS 220 ISA95
  10. 10. Manufacturers’ #1 Barrier – Data Quality Deloitte, 2011
  11. 11. Top 5 Bad Practices No front-end design Obscure, hard-to-use interface No best-practice enforcement Non-secure data handling Inadequate Analytics/Reporting
  12. 12. Top 5 Good Practices Well-defined operation Transparent, role-specific interface SOP support Immediate feedback Data-handling integrity
  13. 13. Well-Defined Operations Process definition Operator buy-in Role-specific interface Workflow support
  14. 14. Well-Defined Operations
  15. 15. SOP Control Access Currency Single-point maintenance
  16. 16. SOP Control
  17. 17. Immediate feedback Intuitive operator interface Prompt & refresher Training compliance  Status alert from system-of-record  Link to test or refresher
  18. 18. Provide Line-level Metrics MESA 2012
  19. 19. Ease-Of-Use
  20. 20. Data Integrity Data read – ISA95 Enforce SOP workflow Monitor input data Transfer data to database
  21. 21. Top 5 Good Practices Well-defined operation Transparent, role-specific interface SOP support Immediate feedback Data-handling integrity
  22. 22. Summary Good data required for MI Must achieve effective, accurate collection Ensure Compliance Benefits are immediate, far reaching
  23. 23. Manufacturing Intelligence for Intelligent Manufacturing.™

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