STAT 5007 - Statistical Process Control (SPC) for Die Setters
15040030
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Course Description
Statistical Process Control is a powerful tool for monitoring the consistency of production and identifying problems. This two-hour course¿in its abbreviated format¿will be a unique focus on the needs of die setters.AN INTRODUCTION TO PROCESSES explains the concept of a process and why companies need to look at their operations from a process perspective. Introduces the tools for charting a process, teaches the flow charting symbols and gives examples of business processes in a flowchart format. Participants develop a flow chart for a basic process in class. *(Explanation 30 minutes)
II. MEASURING AND IMPROVING PROCESSES explains the use of measurements and metrics in managing a process including product specifications (nominal and tolerances) and process measurements. Also includes the criteria for sampling plans. *(Explanation/15 minutes)
III. PROCESS DATA FOR DECISION MAKING explains data-based decision making and issues related to measurements including the effects of poor measurements and Type I and Type II errors. Then, sample charts and graphs are shown including check sheets, histograms, bar charts, line charts, etc. so participant can convert their process data into the appropriate format for analysis, interpretation and presentation. *(Explanation 15 minutes)
IV. AN INTRODUCTION TO STATISTICAL PROCESS CONTROL (SPC) CHARTS AND THE CAUSE AND EFFECT DIAGRAM AND CEDAC CHARTS identifies and explains the different types of SPC charts commonly used in process control, the areas and purposes of a typical SPC chart and the relationship between product/process specifications and the process centerline and control limits. Review of the ¿Cause and Effect diagram¿ for examining process conditions, brainstorming for ideas, and multi-voting to come to group or team consensus along with the ¿CEDAC chart¿ for use with the process improvement. *(Explanation/demonstration/30 minutes.
V. (USE AND INTERPRETATION OF SPC CHART VALUES explains briefly the conversion of process data to the limits for the SPC charts and common chart situations that show ¿unnatural process conditions¿ including instability (average too high/low, range too high), trends, shifts and stratifications. Discussion of conditions includes explanation of common causes and corrections with participants identifying their specific process corrections. *(Explanation/discussion/30minutes)
Course Length: 2 hours or .2 CEUs
*Time spent on a particular topic may vary somewhat based on instructor¿s explanation and questions presented by students.
II. MEASURING AND IMPROVING PROCESSES explains the use of measurements and metrics in managing a process including product specifications (nominal and tolerances) and process measurements. Also includes the criteria for sampling plans. *(Explanation/15 minutes)
III. PROCESS DATA FOR DECISION MAKING explains data-based decision making and issues related to measurements including the effects of poor measurements and Type I and Type II errors. Then, sample charts and graphs are shown including check sheets, histograms, bar charts, line charts, etc. so participant can convert their process data into the appropriate format for analysis, interpretation and presentation. *(Explanation 15 minutes)
IV. AN INTRODUCTION TO STATISTICAL PROCESS CONTROL (SPC) CHARTS AND THE CAUSE AND EFFECT DIAGRAM AND CEDAC CHARTS identifies and explains the different types of SPC charts commonly used in process control, the areas and purposes of a typical SPC chart and the relationship between product/process specifications and the process centerline and control limits. Review of the ¿Cause and Effect diagram¿ for examining process conditions, brainstorming for ideas, and multi-voting to come to group or team consensus along with the ¿CEDAC chart¿ for use with the process improvement. *(Explanation/demonstration/30 minutes.
V. (USE AND INTERPRETATION OF SPC CHART VALUES explains briefly the conversion of process data to the limits for the SPC charts and common chart situations that show ¿unnatural process conditions¿ including instability (average too high/low, range too high), trends, shifts and stratifications. Discussion of conditions includes explanation of common causes and corrections with participants identifying their specific process corrections. *(Explanation/discussion/30minutes)
Course Length: 2 hours or .2 CEUs
*Time spent on a particular topic may vary somewhat based on instructor¿s explanation and questions presented by students.
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