PS(10/07/24): Statistical Process Control

What is Statistical Process Control (SPC)?

• A method of quality control using statistical methods to monitor and control a process.

• A method of financial analysis using statistical methods to predict market trends.

• A method of environmental control using statistical methods to monitor pollution levels.

• A method of educational assessment using statistical methods to grade exams.

What is the purpose of Statistical Process Control (SPC)?

• To ensure the process operates efficiently, producing more specification-conforming products with less waste.

• To increase the speed of production regardless of quality.

• To reduce the number of employees needed in a production line.

• To increase the cost of production for higher profits.

What does the diagram in the learning material represent?

• A control chart showing sample mean, upper control limit, center line, and lower control limit.

• A pie chart showing market share distribution.

• A bar graph showing monthly sales figures.

• A line graph showing temperature changes over time.

What does the central line in a control chart represent?

• The highest value in the data set

• The process average or target value

• The lowest value in the data set

• The range of the data set

What is the purpose of control charts?

• To increase production speed

• To graphically represent process data for monitoring variation over time

• To calculate the total cost of production

• To determine employee efficiency

What does the Upper Control Limit (UCL) indicate in a control chart?

• The process is under control

• The process is out of control above this limit

• The average process value

• The lowest acceptable value

What are common causes in the context of control charts?

• Variations due to specific, identifiable reasons

• Variations due to normal process variation

• Variations due to equipment failure

• Variations due to human error

Diagram of a control chart showing Upper Control Limit (UCL), Lower Control Limit (LCL), and process average.

• Upper Control Limit (UCL), Lower Control Limit (LCL), and process average

• Upper Control Limit (UCL), Lower Control Limit (LCL), and median

• Upper Control Limit (UCL), Lower Control Limit (LCL), and mode

• Upper Control Limit (UCL), Lower Control Limit (LCL), and range

What does an X-bar chart monitor?

• The proportion of defective units in a sample

• The range of a process over time

• The average (mean) of a process

• The median of a process

What is the purpose of an R Chart?

• To monitor the average of a process

• To monitor the range of a process over time

• To monitor the proportion of defective units

• To monitor the mode of a process