Instruction 18-1
Below is the number of defective items from a production line over 20 consecutive morning shifts.
$$\begin{array} { | l | l | l | l |}
\hline \text { Day } & \text { Nonconf. } & \text { Day } & \text { Nonconf. } \
\hline 1 & 26 & 11 & 22 \
\hline 2 & 27 & 12 & 26 \
\hline 3 & 23 & 13 & 21 \
\hline 4 & 21 & 14 & 22 \
\hline 5 & 26 & 15 & 19 \
\hline 6 & 20 & 16 & 17 \
\hline 7 & 35 & 17 & 21 \
\hline 8 & 30 & 18 & 18 \
\hline 9 & 21 & 19 & 16 \
\hline 10 & 25 & 20 & 17\
\hline
\end{array}$$ Note: Nonconf. = Nonconformances
-Referring to Instruction 18-1,the c chart suggests that the special cause of variation must be incorporated into the process to become part of the permanent ongoing process.

Question

Instruction 18-1
Below is the number of defective items from a production line over 20 consecutive morning shifts.
 $$\begin{array} { | l | l | l | l |} 
\hline \text { Day } & \text { Nonconf. } & \text { Day } & \text { Nonconf. } \
\hline 1 & 26 & 11 & 22 \
\hline 2 & 27 & 12 & 26 \
\hline 3 & 23 & 13 & 21 \
\hline 4 & 21 & 14 & 22 \
\hline 5 & 26 & 15 & 19 \
\hline 6 & 20 & 16 & 17 \
\hline 7 & 35 & 17 & 21 \
\hline 8 & 30 & 18 & 18 \
\hline 9 & 21 & 19 & 16 \
\hline 10 & 25 & 20 & 17\
\hline
\end{array}$$ Note: Nonconf. = Nonconformances
-Referring to Instruction 18-1,the c chart suggests that the special cause of variation must be incorporated into the process to become part of the permanent ongoing process.

Quizplus · Accepted Answer

The c chart is used to monitor the number of defects per unit. The control limits are calculated based on the average number of defects per unit and the standard deviation of the number of defects per unit. If the number of defects per unit exceeds the upper control limit, then it is likely that a special cause of variation has occurred. The special cause of variation must be identified and eliminated in order to bring the process back into control.

Instruction 18-1 Below Is the Number of Defective Items from a Production

Instruction 18-1
Below Is the Number of Defective Items from a Production