GMS 200 Lecture Notes - Lecture 7: Statistical Process Control, Central Tendency, Standard Deviation

• School: Ryerson University
• Department: Global Management Studies
• Course: GMS 200
• Professor: Amirmohsen Behjat

Document Summary

Statistical quality control: uses statistical techniques & sampling to monitor & test the quality of goods & services, the best companies design quality into the process, thereby reducing the need for inspection/tests. Statistical process control (spc: variability is inherent in every process. For any distribution there is a measure of central tendency and dispersion. Variations that can be traced to a specific reason. The objective is to discover when assignable causes are present: eliminate the bad causes, incorporate the good causes, provides a statistical signal when assignable causes are present, detect and eliminate assignable causes of variation. If only natural causes of variation are present, the output of a process forms a distribution that is stable over time and is predictable e) If assignable causes are present, the process output is not stable over time and is not predictable. May be in whole or in fractional numbers. Products are either good or bad, count defects.