Question 1

The range chart (R-chart) is most likely to detect a change in:

Accepted Answer

A)  proportion. 
B)  mean. 
C)  number defective. 
D)  variability. 
E)  sample size. 
A)  proportion. 
B)  mean. 
C)  number defective. 
D)  variability. 
E)  sample size.

Question 2

Statistical process control charts are not really used to fix quality so much as they are used to:

Accepted Answer

A)  highlight when processes are not capable. 
B)  point out when random variation is present. 
C)  alert when corrective action is needeD. 
D)  monitor the quality of incoming shipments or outgoing finished goods. 
E)  initiate team-building exercises. 
A)  highlight when processes are not capable. 
B)  point out when random variation is present. 
C)  alert when corrective action is needeD. 
D)  monitor the quality of incoming shipments or outgoing finished goods. 
E)  initiate team-building exercises.

Question 3

When a process is in control, it results in there being, on average, 16 defects per unit of output. c-chart limits of 8 and 24 would lead to a _______ percent chance of a Type I error.

Accepted Answer

A)  68.26 
B)  95.44 
C)  31.74 
D)  0.26 
E)  4.56 
A)  68.26 
B)  95.44 
C)  31.74 
D)  0.26 
E)  4.56

Question 4

A c-chart is used to monitor the total number of defectives in the output of a process.

Accepted Answer

A) True 
 B)False

Question 5

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each: $$\begin{array} { l l c c l } 
\text { Day } && { \text { Weight (ounces) } } \
\hline \text { Monday } & 23 & 22 & 23 & 24 \
\text { Tuesday } & 23 & 21 & 19 & 21 \
\text { Wednesday } & 20 & 19 & 20 & 21 \
\text { Thursday } & 18 & 19 & 20 & 19 \
\text { Friday } & 18 & 20 & 22 & 20
\end{array}$$
What is the mean of the sampling distribution of sample means when this process is in control?

Accepted Answer

A)  18 ounces 
B)  19 ounces 
C)  20 ounces 
D)  21 ounces 
E)  22 ounces 
A)  18 ounces 
B)  19 ounces 
C)  20 ounces 
D)  21 ounces 
E)  22 ounces

Question 6

The traditional view is that the optimum level of inspection is where the:

Accepted Answer

A)  cost of inspection is minimum. 
B)  cost of passing defectives is minimum. 
C)  total cost of inspection and defectives is maximum. 
D)  total cost of inspection and defectives is minimum. 
E)  difference between inspection and defectives costs is minimum. 
A)  cost of inspection is minimum. 
B)  cost of passing defectives is minimum. 
C)  total cost of inspection and defectives is maximum. 
D)  total cost of inspection and defectives is minimum. 
E)  difference between inspection and defectives costs is minimum.

Question 7

The specifications for a product are 6 mm ± 0.1 mm. The process is known to operate at a mean of 6.05 with a standard deviation of 0.01 mm. What is the Cpk for this process?

Accepted Answer

A)  3.33 
B)  1.67 
C)  5.00 
D)  2.50 
E)  1.33 
A)  3.33 
B)  1.67 
C)  5.00 
D)  2.50 
E)  1.33

Question 8

A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: $$\begin{array} { c c c c c } 
\text { Sample } &&{ \text { Service Life (hours) } } \
\hline 1 & 495 & 500 & 505 & 500 \
2 & 525 & 515 & 505 & 515 \
3 & 470 & 480 & 460 & 470
\end{array}$$
If he uses upper and lower control limits of 520 and 480 hours, what is his risk (alpha) of concluding that service life is out of control when it is actually under 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 9

The following data occurs chronologically from left to right: $$\begin{array} { | l | l | l | l | l | l | } 
\hline 15.2 & 19.7 & 16.0 & 11.1 & 14.8 & 14.5 \
\hline
\end{array}$$
The number of runs above and below the sample median is:

Accepted Answer

A)  2. 
B)  3. 
C)  4. 
D)  5. 
E)  none of these. 
A)  2. 
B)  3. 
C)  4. 
D)  5. 
E)  none of these.

Question 10

The chair of the operations management department at Quality University wants to construct a p-chart for determining whether the four faculty teaching the basic P/OM course are in control with regard to the number of students who fail the course. Accordingly, he sampled 100 final grades from last year for each instructor, with the following results: $$\begin{array} { l c } 
\text { Instructor } & \text { Number of Failures } \
\hline \text { Prof. A } & 13 \
\text { Prof. B } & 0 \
\text { Prof. C } & 11 \
\text { Prof. D } & 16
\end{array}$$
What is the sample proportion of failures (p) for Prof. D?

Accepted Answer

A)  0 
B)  .04 
C)  .11 
D)  .13 
E)  .16 
A)  0 
B)  .04 
C)  .11 
D)  .13 
E)  .16

Question 11

The more progressive a firm's approach to quality assurance, the less that company will need to rely on:

Accepted Answer

A)  insourcing. 
B)  inspection. 
C)  outsourcing. 
D)  continuous improvement. 
E)  capability assessment. 
A)  insourcing. 
B)  inspection. 
C)  outsourcing. 
D)  continuous improvement. 
E)  capability assessment.

Question 12

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that whenever this process is in control, package weight is normally distributed with a mean of 20 ounces and a standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each: $$\begin{array} { l l c c c } 
\text { Day } & & { \text { Weight (ounces) } } \
\hline \text { Monday } & 23 & 22 & 23 & 24 \
\text { Tuesday } & 23 & 21 & 19 & 21 \
\text { Wednesday } & 20 & 19 & 20 & 21 \
\text { Thursday } & 18 & 19 & 20 & 19 \
\text { Friday } & 18 & 20 & 22 & 20
\end{array}$$
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 13

The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

Accepted Answer

A) True 
 B)False

Question 14

The greater the volume of the process being targeted for inspection, the more attractive __________ inspection is.

Accepted Answer

A)  monitored 
B)  controlled 
C)  periodic 
D)  variable 
E)  automated 
A)  monitored 
B)  controlled 
C)  periodic 
D)  variable 
E)  automated

Question 15

An R value of zero (on a range chart) means that the process must be in control since all sample values are equal.

Accepted Answer

A) True 
 B)False

Question 16

The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.

Accepted Answer

A) True 
 B)False

Question 17

The purpose of quality control is making sure that processes are performing in an acceptable manner.

Accepted Answer

A) True 
 B)False

Question 18

Attributes need to be measured, whereas variable data can be counted.

Accepted Answer

A) True 
 B)False

Question 19

A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: $$\begin{array} { c c c c c } 
\text { Sample } && { \text { Service Life (hours) } } \
\hline 1 & 495 & 500 & 505 & 500 \
2 & 525 & 515 & 505 & 515 \
3 & 470 & 480 & 460 & 470
\end{array}$$
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 20

A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results: $$\begin{array} { c c c c c } 
\text { Sample } & { \text { Service Life (hours) } } \
\hline 1 & 495 & 500 & 505 & 500 \
2 & 525 & 515 & 505 & 515 \
3 & 470 & 480 & 460 & 470
\end{array}$$
What is the sample mean service life for sample 2?

Accepted Answer

A)  460 hours 
B)  495 hours 
C)  500 hours 
D)  515 hours 
E)  525 hours 
A)  460 hours 
B)  495 hours 
C)  500 hours 
D)  515 hours 
E)  525 hours

The range chart (R-chart) is most likely to detect a change in:

Statistical process control charts are not really used to fix quality so much as they are used to:

When a process is in control, it results in there being, on average, 16 defects per unit of output. c-chart limits of 8 and 24 would lead to a _______ percent chance of a Type I error.

A c-chart is used to monitor the total number of defectives in the output of a process.

The traditional view is that the optimum level of inspection is where the:

The specifications for a product are 6 mm ± 0.1 mm. The process is known to operate at a mean of 6.05 with a standard deviation of 0.01 mm. What is the Cpk for this process?

The following data occurs chronologically from left to right: 15.2 19.7 16.0 11.1 14.8 14.5 The number of runs above and below the sample median is:

The more progressive a firm's approach to quality assurance, the less that company will need to rely on:

The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

The greater the volume of the process being targeted for inspection, the more attractive __________ inspection is.

An R value of zero (on a range chart) means that the process must be in control since all sample values are equal.

The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.

The purpose of quality control is making sure that processes are performing in an acceptable manner.

Attributes need to be measured, whereas variable data can be counted.

Introduction to Operations Management

Competitiveness

Forecasting

Product and Service Design

RELIABILITY – Static

Strategic Capacity Planning for Products and Services

Decision Theory– Static

Process Selection and Facility Layout

Work Design and Measurement

learning curve– Static

Location Planning and Analysis

The Transportation Model– Static

Management of Quality

Acceptance Sampling– Static

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

JIT and Lean Operations

Maintenance– Static

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Filters

Exam 14: Quality Control

The range chart (R-chart) is most likely to detect a change in:

Statistical process control charts are not really used to fix quality so much as they are used to:

When a process is in control, it results in there being, on average, 16 defects per unit of output. c-chart limits of 8 and 24 would lead to a _______ percent chance of a Type I error.

A c-chart is used to monitor the total number of defectives in the output of a process.

The traditional view is that the optimum level of inspection is where the:

The specifications for a product are 6 mm ± 0.1 mm. The process is known to operate at a mean of 6.05 with a standard deviation of 0.01 mm. What is the Cpk for this process?

The following data occurs chronologically from left to right: 15.2 19.7 16.0 11.1 14.8 14.5 The number of runs above and below the sample median is:

The more progressive a firm's approach to quality assurance, the less that company will need to rely on:

The amount of inspection needed is governed by the costs of inspection and the expected costs of passing defective items.

The greater the volume of the process being targeted for inspection, the more attractive __________ inspection is.

An R value of zero (on a range chart) means that the process must be in control since all sample values are equal.

The number of defective parts in a sample is an example of variable data because it will "vary" from one sample to another.

The purpose of quality control is making sure that processes are performing in an acceptable manner.

Attributes need to be measured, whereas variable data can be counted.

Introduction to Operations Management

Competitiveness

Forecasting

Product and Service Design

RELIABILITY – Static

Strategic Capacity Planning for Products and Services

Decision Theory– Static

Process Selection and Facility Layout

Work Design and Measurement

learning curve– Static

Location Planning and Analysis

The Transportation Model– Static

Management of Quality

Acceptance Sampling– Static

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

JIT and Lean Operations

Maintenance– Static

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Filters