Human error is known to be the primary cause of quality and production losses in many industries. Although human error is unlikely to ever be eliminated, many human performance problems can be prevented. Human errors start at the design stage. From procedures, training, and workplace environment, many variables that affect human behavior CAN be managed, reducing the likelihood of these occurrences. When working with these challenges, it is imperative to understand human behavior and the psychology of error and understand exactly where the system's weaknesses are so that they can be improved and fixed.  This course offers practical approaches and tools to address human performance issues in GMP-related environments by using a particular methodology to correct, prevent, and avoid reoccurrence of these matters.

What you'll learn?

• Background on Human Error Phenomena and Measurement. 
• The importance of Human Error Prevention/reduction. 
• Quantitative and qualitative information gathering. 
• Why do we need tools for human error reduction programs?
• Training as a tool and human error.
• Facts about human error and training.
• Human Error as the Root Cause: what to do and how to measure it. 
• Tools
• Prediction
• Root Cause Analysis
• Cognitive load assessment
• Systems available
• Human error rate
• Floor checklist
• Interview questions
• AI Use
• Human error rates and other metrics
• Trending and Tracking 
• Metrics and Human Error
• KPI’s
• Human Error rate
• 1st-time pass rate
• Overall equipment effectiveness (OEE)
• Trending /Tracking

Who should attend?

• Training managers and coordinators
• Operations
• Manufacturing
• Plant Engineering
• QA/QC staff
• Process excellence/improvement professionals
• Industrial/process engineers
• Compliance officers
• Regulatory/legislative affairs professionals
• General/corporate counsel
• Executive management

Why should you attend?

• Understand human error: factors and causes.
• Understand the importance: regulatory and business.
• Define the process to manage Human Error deviations.
• Learn about human error measurement.
• Learn about tools for measurement.
• Establish Key Performance Indicators. 
• Define and measure human error rate, cognitive load, and CAPA effectiveness
• Identify what I can do to support human reliability.