Question 1

The process capability index (indicated by Cpk) can be used only when the process is centered.

Accepted Answer

A) True 
 B)False

Question 2

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error)?

Accepted Answer

A) 0.0026 
B) 0.0456 
C) 0.3174 
D) 0.6826 
E) 0.9544 
A) 0.0026 
B) 0.0456 
C) 0.3174 
D) 0.6826 
E) 0.9544

Question 3

"Quality of conformance" is concerned with whether a product or service conforms to its specifications.

Accepted Answer

A) True 
 B)False

Question 4

Assuming that the process mean of 0.09 cannot be changed, what process standard deviation would be required for this process to be considered capable (assuming that a capable process must have a capability index of at least 1.3)?

Accepted Answer

The process standard deviation

Question 5

Studies on a machine that molds plastic water pipe indicate that when it is injecting 1-inch diameter pipe, the process standard deviation is 0.05 inches.The one-inch pipe has a specification of 1-inch plus or minus 0.10 inch.What is the process capability index (Cpk) if the long-run process mean is 1 inch?

Accepted Answer

A) 0.50 
B) 0.67 
C) 1.00 
D) 2.00 
E) none of the above 
A) 0.50 
B) 0.67 
C) 1.00 
D) 2.00 
E) none of the above

Question 6

What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?

Accepted Answer

A) .0075 
B) .03 
C) .075 
D) .3 
E) .75 
A) .0075 
B) .03 
C) .075 
D) .3 
E) .75

Question 7

Even if the process is not centered, the process capability index (indicated by Cpk) is very useful.

Accepted Answer

A) True 
 B)False

Question 8

A time-ordered plot of sample statistics is called a(n) ______ chart.

Accepted Answer

A) Statistical 
B) Inspection 
C) Control 
D) SIMO 
E) Limit 
A) Statistical 
B) Inspection 
C) Control 
D) SIMO 
E) Limit

Question 9

If the process is known to have a mean of 15 and a standard deviation of 3, using three sigma control limits, do any of the sample means indicate an out-of-control process mean?

Accepted Answer

No, all ar

Question 10

If the process is known to produce 11 percent defectives on average, using three sigma control limits, do any of the sample proportions indicate an out-of-control process proportion of defectives?

Accepted Answer

No, all ar

Question 11

If the process proportion of defectives is unknown, what is the alpha risk (probability of Type I error) for upper and lower control limits of .115 and .085 respectively? .13 and .07? .145 and .055?

Accepted Answer

The answer of If the process proportion of defectives is...

Question 12

What is the sample mean for machine #1?

Accepted Answer

A) 15 
B) 16 
C) 17 
D) 21 
E) 23 
A) 15 
B) 16 
C) 17 
D) 21 
E) 23

Question 13

Approximately 99.7% of sample means will fall within  $\pm$two standard deviations of the process mean if the process is under control.

Accepted Answer

A) True 
 B)False

Question 14

If he uses upper and lower control limits of 520 and 480 hours, on what sample(s) (if any) does service life appear to be out of control?

Accepted Answer

A) sample 1 
B) sample 2 
C) sample 3 
D) both samples 2 and 3 
E) all samples are in control 
A) sample 1 
B) sample 2 
C) sample 3 
D) both samples 2 and 3 
E) all samples are in control

Question 15

Suppose the criterion for evaluating this process is that the appropriate capability index must be at least 1.3.With a long-run process mean of 0.09 and a standard deviation of 0.015, is this process capable?

Accepted Answer

The answer of Suppose the criterion for evaluating this process...

Question 16

Variation in a sample statistic collected from a process may be either random variation or assignable variation - or both.

Accepted Answer

A) True 
 B)False

Question 17

If he uses upper and lower control limits of 22 and 18 ounces, on what day(s), if any, does this process appear to be out of control?

Accepted Answer

A) Monday 
B) Tuesday 
C) Monday and Tuesday 
D) Monday, Tuesday, and Thursday 
E) none 
A) Monday 
B) Tuesday 
C) Monday and Tuesday 
D) Monday, Tuesday, and Thursday 
E) none

Question 18

Which of the following is not a step in the quality control process?

Accepted Answer

A) define what is to be controlled 
B) compare measurements to a standard 
C) eliminate each of the defects as they are identified 
D) take corrective action if necessary 
E) evaluate corrective action 
A) define what is to be controlled 
B) compare measurements to a standard 
C) eliminate each of the defects as they are identified 
D) take corrective action if necessary 
E) evaluate corrective action

Question 19

Studies on a bottle-filling machine indicates it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces.What is the process specification, assuming the Cpk index of 1?

Accepted Answer

A) 0.10 ounces 
B) 0.20 ounces 
C) 0.30 ounces 
D) 16.0 ounces plus or minus 0.30 ounces 
E) none of the above 
A) 0.10 ounces 
B) 0.20 ounces 
C) 0.30 ounces 
D) 16.0 ounces plus or minus 0.30 ounces 
E) none of the above

Question 20

Low-cost, high-volume items often require more intensive inspection.

Accepted Answer

A) True 
 B)False

Exam 10: Quality Control

The process capability index (indicated by Cpk) can be used only when the process is centered.

If he uses upper and lower control limits of 22 and 18 ounces, what is his risk (alpha) of concluding this process is out of control when it is actually in control (Type I error)?

"Quality of conformance" is concerned with whether a product or service conforms to its specifications.

Assuming that the process mean of 0.09 cannot be changed, what process standard deviation would be required for this process to be considered capable (assuming that a capable process must have a capability index of at least 1.3)?

What is the estimate of the standard deviation of the sampling distribution for an instructor's sample proportion of failures?

Even if the process is not centered, the process capability index (indicated by Cpk) is very useful.

A time-ordered plot of sample statistics is called a(n) ______ chart.

If the process is known to have a mean of 15 and a standard deviation of 3, using three sigma control limits, do any of the sample means indicate an out-of-control process mean?

If the process is known to produce 11 percent defectives on average, using three sigma control limits, do any of the sample proportions indicate an out-of-control process proportion of defectives?

If the process proportion of defectives is unknown, what is the alpha risk (probability of Type I error) for upper and lower control limits of .115 and .085 respectively? .13 and .07? .145 and .055?

What is the sample mean for machine #1?

Approximately 99.7% of sample means will fall within ±\pm± two standard deviations of the process mean if the process is under control.

If he uses upper and lower control limits of 520 and 480 hours, on what sample(s) (if any) does service life appear to be out of control?

Suppose the criterion for evaluating this process is that the appropriate capability index must be at least 1.3.With a long-run process mean of 0.09 and a standard deviation of 0.015, is this process capable?

Variation in a sample statistic collected from a process may be either random variation or assignable variation - or both.

If he uses upper and lower control limits of 22 and 18 ounces, on what day(s), if any, does this process appear to be out of control?

Which of the following is not a step in the quality control process?

Studies on a bottle-filling machine indicates it fills bottles to a mean of 16 ounces with a standard deviation of 0.10 ounces.What is the process specification, assuming the Cpk index of 1?

Low-cost, high-volume items often require more intensive inspection.

Introduction to Operations Management

Competitiveness, Strategy, and Productivity

Forecasting

Product and Service Design

Strategic Capacity Planning for Products and Services

Process Selection and Facility Layout

Work Design and Measurement

Location Planning and Analysis

Management of Quality

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

Jit and Lean Operations

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Extension 4: Reliability

Extension 5: Decision Theory

Extension 7: Learning Curves

Extension 8: The Transportation Model

Extension 10: Acceptance Sampling

Extension 14: Maintenance

Filters

Approximately 99.7% of sample means will fall within $\pm$ two standard deviations of the process mean if the process is under control.