The document outlines best practices for data collection to support successful manufacturing intelligence. It recommends having well-defined operations with standardized processes and role-specific interfaces to support workflows. It also stresses the importance of standard operating procedure control, immediate feedback for operators, and ensuring data integrity throughout the collection process. Adopting these best practices can help manufacturers overcome their top barrier of poor data quality.

1. Best Practices in Data Collection
for Successful Manufacturing Intelligence
Jeffery Cawley
VP Industry Leadership
Northwest Analytics
January 26, 2012

2. Agenda
 Manufacturing Intelligence
 Data Quality
 Data Collection
 Plant Floor Data Collection 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. Why MI Matters
“The basic productivity gains in manufacturing
have been realized. The next level must be
achieved through Manufacturing Intelligence.”
Pierfrancesco Manenti
IDC

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

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

8. Regulatory Ante: Good Data
 Organizations  Standards
CGMP ICH Q10
ISA95 9001
GALP
GFSI HACCP
22000 CAPA

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

10. Top 5 Bad Practices
 No front-end design
 Workflow interruption
 Obscure, hard-to-use interface
 No best-practice enforcement
 Non-secure data handling

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

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

13. Well-Defined Operations

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

15. SOP Control
JL Pharmaceutical

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

17. Ease-Of-Use
IMS Materials

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

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

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

21. Q&A

22. Manufacturing Intelligence for Intelligent Manufacturing.™