Statistical Process Control (SPC) is one of the most powerful process improvement tools. Among all the SPC techniques, control charts are the most common tools for process monitoring and improvements. Dr. Walter A. Shewhart of Bell Telephone Laboratories developed the first control chart in the early 1920s. Since then Control Charts have been used by industries worldwide as the means for controlling and monitoring the stability of key process parameters. In recent years, the demand for the control charts as a process improvement tool has been tremendous, and it has become one of the core tools to be deployed in any organizations that implement IATF 16949 Quality Management System.  

Statistical Process Control (SPC) is an approach to monitor, improve and control processes by collecting, charting and analyzing data from a product characteristic (response) or process variable (independent variable). Improvement to a process comes from identifying and eliminating "special cause" variation, making process changes thereby reducing "common cause" variation. This course will teach on how to develop and calculate

-         the variables control chart

-         Process Capability Cpk


Value Add-On

-         Editable Excel SPC Xbar R chart forms with formula

-         Real case study


Language:

Module and Notes: English

Lecture Video : Mix English and Malay

Course Curriculum

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