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

1. Best Practices in Data Collection
and Analytics for Food Safety Management
Jeffery Cawley
VP Industry Leadership
Northwest Analytics
May 8, 2012

2. Agenda
 Manufacturing Systems/Intelligence
 Data Quality
 Data Collection
 Data Collection Best Practices
 Analytics Best Practices

3. ISA 95 Activity Levels
Business Planning & Logistics
Level 4 Plant Production Scheduling,
Operational Management, etc
Manufacturing
Level 3 Operations & Control
Dispatching Production, Detailed Production
Scheduling, Reliability Assurance, ...
Level 2
Batch Continuous Discrete
Control Control Control
Level 1

4. Manufacturing Intelligence (MI)
 Aggregation
 Contextualization
 Analysis
 Visualization
 Propagation
*AMR/Gartner

5. Automated Data Collection
MESA 2012 - http://bit.ly/IFCWfp

6. Best-In-Class Performance
Standardized KPIs Across Enterprise
Aberdeen 2011

7. Metrics Program Maturity
MESA 2012

8. Minimum Ante: Good Data
 Operations
 Supply-chain compliance
 Regulatory compliance

9. Regulatory Ante:
Good Data in Good Systems
 Organizations  Standards
FSMA GFSI
HACCP CAPA
ISO 22000 ISO 9001
PAS 220 ISA95

10. Manufacturers’ #1 Barrier – Data Quality
Deloitte, 2011

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. Top 5 Good Practices
 Well-defined operation
 Transparent, role-specific
interface
 SOP support
 Immediate feedback
 Data-handling integrity

13. Well-Defined Operations
 Process definition
 Operator buy-in
 Role-specific interface
 Workflow support

14. Well-Defined Operations

15. SOP Control
 Access
 Currency
 Single-point maintenance

16. SOP Control

17. Immediate feedback
 Intuitive operator interface
 Prompt & refresher
 Training compliance
 Status alert from system-of-record
 Link to test or refresher

18. Provide Line-level Metrics
MESA 2012

19. Ease-Of-Use

20. Data Integrity
 Data read – ISA95
 Enforce SOP workflow
 Monitor input data
 Transfer data to database

21. Top 5 Good Practices
 Well-defined operation
 Transparent, role-specific
interface
 SOP support
 Immediate feedback
 Data-handling integrity

22. Summary
 Good data required for MI
 Must achieve effective,
accurate collection
 Ensure Compliance
 Benefits are immediate, far
reaching

23. Manufacturing Intelligence for Intelligent Manufacturing.™