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