Transcription of Statistical Process Control, Part 7: Variables Control Charts
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Statistical Process Control, Part 7: Variables Control Charts
Performance Excellence in the Wood Products Industry Statistical Process Control Part 7: Variables Control Charts EM 9109 M ay 2015. Scott Leavengood and James E. Reeb O. ur focus for the prior publications in this series has been on introducing you to Statistical Process Control (SPC) what it is, how and why it works, and how to use various tools to determine where to focus initial efforts to use SPC in your company. SPC is most effective when focused on a few key areas as opposed to measuring any- thing and everything. With that in mind, we described how to: Use Pareto analysis and check sheets to select projects (Part 3). Construct flowcharts to build consensus on the steps involved and help define where quality problems might be occurring (Part 4). Create cause-and-effect diagrams to identify potential causes of a problem (Part 5). Design experiments to hone in on the true cause of the problem (Part 6).
(also called random or common cause) • Variability that is due to some assignable cause (also called special cause) We discuss these categories in more detail below. For now, know that the pri-mary objective of control charts is to answer this question: Is the variability within
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