Description
Statistical Process Control Methods
The purpose of this assignment is for students to learn how to apply Statistical Process Control Methods to a business process.
Assignment Steps
Resources: Microsoft® Excel® and PowerPoint®
Select a complex continuous process from your personal life or work. The process can be the same as in Week 1 assignment.
Complete the following:
- Use Microsoft® Excel® to calculate the defined process metrics including variation and process capability.
- Use Microsoft® Excel® and PowerPoint® to develop and display a control chart for the process.
Evaluate the control chart and process metrics using Statistical Process Control (SPC) methods.
Evaluate whether the process could benefit from the use of Six Sigma tools.
Develop a 525-word executive summary in which you describe your Statistical Process Control project and include the control chart with SPC.
Format your assignment consistent with APA guidelines.
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Explanation & Answer
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Running head: STATISTICAL PROCESS CONTROL
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Statistical Process Control
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Date
STATISTICAL PROCESS CONTROL
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Statistical Process Control
Statistical Process Control is a method utilized to control quality, done with the help of statistical
methods. It helps in monitoring and controlling the process to make sure that it gives the full
potential. Various methods available for Statistical Process Control are Control charts, cause and
effect diagrams, histograms, scatter diagrams, probability plots, etc. In the assignment, we have
utilized control charts, and process metrics. Process metrics is calculated with the help of process
capability, process capability index. This is mainly done to compare the actual and ideal
distribution of the data. The process selected for the assignment from my work life is driving to
my office. (Gordon, 2014)
The six sigma approach helps in identifying the defects in the production process. The selected
process could not benefit from the six sigma tools because the purpose of six sigma is to reduce
the number of defects. It means 3.4 defects in every million prod...