OMIS 2010 Lecture Notes - Lecture 12: Control Chart, Statistical Process Control, Six Sigma

• School: WLU
• Department: Operations Management and Information System
• Course: OMIS 2010
• Professor: Linda Lakats

Document Summary

Six sigma - dmaic approach: define critical outputs and identify gaps for improvement, measure the work and collect process data, analyze the data. 4: control the new process to make sure new performance is maintained. Variability that affects every production process to some degree and is to be expected. Form a pattern that can be described as a distribution. For any distribution there is a measure of central tendency ( ) and dispersion ( ) If the distribution of outputs falls within acceptable limits, the process is said to be in control and natural variations are tolerated. Can be traced to a specific reason (i. e machine wear, untrained workers) For the process to remain under control, it is necessary to identify and eliminate assignable variations. If assignable causes are present, the process output is not stable over time and is not predictable. Control charts provide a statistical signal that assignable causes are present.