Module Three: Uncovering the Root Cause of Poor Process Performance

Pain points and unmet needs can usually be traced back to process inputs. Sometimes the root cause is apparent. When it’s not, in-depth analysis of process data is needed to uncover the source of the problem. Business excellence and innovation expert learn a variety of statistical analysis tools to help them analyze process data so they can permanently solve the problem.

Module Description:

This two-day module (in week 1 and week 2) provides instruction in the statistical tools and techniques used to diagnose the relationship between process inputs and output.

Key Topics:

• How to identify process inputs and outputs using tools such as Functional Analysis and FMEA.
• How to draw on subject matter expertise to discover potential failure modes within a process.
• How to use statistical tests to validate relationships between specific inputs and process output.
• How to mitigate the risk associated with making the wrong decision.
• How to optimize analysis by selecting the right sample sizes.
• How to analyze multiple variables at once when historical data is available.
• How to construct a simple experiment to prove relationships using Design of Experiments.
• How to study the flow of a process and coordinate activity to minimize process waste using tools such as Creative Challenge, Spaghetti Diagrams, Work Combination Charts, Kanbans and Takt Time.