Training objectives
- To understand benefits and importance of statistical process control (SPC) in the context of contemporary quality requirements (primarily ISO 9001:2015) - data-driven decision-making, continuous improvement (PDCA), risk management, statistical tools - in particular SPC - in Big Data.
- To learn the principles of practical application of statistical process control (SPC) methods for both measurable parameters and attribute quality control (inspection by samples).
- To be able to identify and justify the need for SPC, select SPC tools (control charts) and conduct process monitoring based on control charts.
- To be able to assess quality capability of processes (Cp, Cpk, Pp, Ppk indices).
Estimated contribution of the practical part: 65%
Duration: 2 days for 6 h
· Human error.
· Why do we deal with it?
· Possible reasons for human error: fatigue, personal and professional problems, illness, lack of or insufficient training, lack of commitment to work, inappropriate workstation, lack of or ambiguous work standards.
· Human error analysis in the setting of other analyses and processes.
· Human error analysis.
- Introduction.
- Stages of human error analysis.
· Interview with the employee.
· Action plan.
· Quality tools in human error analysis.
· Exercises.
Exercises:
- Selected methods for analysing risks in the production process - identifying the most at-risk operations.
- Human Reliability Assessment (HRA).
- Basic techniques to prevent human error.
- Fundamental errors when analysing staff positions for the possibility of human error.
- Good practices for implementing preventive tools in case of human error.
