Question 1

The amount of inspection needed depends on __________ and __________.

Accepted Answer

A)  the amount of automation; the reliability of inspectors 
B)  the quality of the supplier; the target market of the process 
C)  the costs of inspection; the costs of passing on defective items 
D)  where in the process the inspection occurs; the volume of the process 
E)  the cost of the item being inspected; the use of the item being inspected 
A)  the amount of automation; the reliability of inspectors 
B)  the quality of the supplier; the target market of the process 
C)  the costs of inspection; the costs of passing on defective items 
D)  where in the process the inspection occurs; the volume of the process 
E)  the cost of the item being inspected; the use of the item being inspected

Question 2

Given the following control chart, would you say that the process appears to be performing appropriately?

Accepted Answer

Since all points are within the control

Question 3

Quality control is making sure that processes are performing in an acceptable manner.

Accepted Answer

A) True 
 B)False

Question 4

A control chart used to monitor the fraction of defectives generated by a process is the:

Accepted Answer

A)  p-chart. 
B)  R-chart. 
C)  x-bar chart. 
D)  c-chart. 
E)  Gantt chart. 
A)  p-chart. 
B)  R-chart. 
C)  x-bar chart. 
D)  c-chart. 
E)  Gantt chart.

Question 5

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 under 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 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 6

Given the following process control data for a quality attribute (three samples of size 400 each): $$\begin{array} { l r } 
\text { Sample } & \text { Defectives } \
\hline \# 1 & 36 \
\# 2 & 32 \
\# 3 & 52
\end{array}$$ If the process proportion of defectives is unknown, what are the upper and lower control limits for an alpha risk of .10? .05? .01?

Accepted Answer

.1247 and .0753; .12

Question 7

If a process is performing as it should, it is still possible to obtain observations which are outside of which limits?
(I) tolerances
(II) control limits
(III) process variability

Accepted Answer

A)  I 
B)  II 
C)  I and II 
D)  II and III 
E)  I, II, and III 
A)  I 
B)  II 
C)  I and II 
D)  II and III 
E)  I, II, and III

Question 8

A quality analyst wants to construct a control chart for determining whether four machines, all producing the same product, are under control with regard to a particular quality attribute. Accordingly, she inspected 1,000 units of output from each machine in random samples, with the following results: $$\begin{array} { l c } 
\text { Machine } & \text { Total Defectives } \
\hline   \# 1 & 23 \
\# 2 & 15 \
\# 3 & 29 \
\# 4 & 13
\end{array}$$ What is the estimate of the process proportion of defectives for whenever it is under control?

Accepted Answer

A)  .08 
B)  .06 
C)  .04 
D)  .02 
E)  .01 
A)  .08 
B)  .06 
C)  .04 
D)  .02 
E)  .01

Question 9

Quality control tools 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 10

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 under 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: $$\begin{array} { r } 
{ \text { Weight (ounces) } }\
\begin{array} { l l l l l } 
\text { Day } \
\hline \text { Monday } & 23 & 22 & 23 & 24 \
\text { Tuesday } & 23 & 21 & 19 & 21 \
\text { Wednesday } & 20 & 19 & 20 & 21 \
\text { Thursday } & 18 & 19 & 20 & 19 \
\text { Friday } & 18 & 20 & 22 & 20
\end{array}\end{array}$$ What is the sample mean package weight for Thursday?

Accepted Answer

A)  19 ounces 
B)  20 ounces 
C)  20.6 ounces 
D)  21 ounces 
E)  23 ounces 
A)  19 ounces 
B)  20 ounces 
C)  20.6 ounces 
D)  21 ounces 
E)  23 ounces

Question 11

Given the following process control data for a quality attribute (three samples of size 400 each): $$\begin{array} { l r } 
\text { Sample } & \text { Defectives } \
\hline \# 1 & 36 \
\# 2 & 32 \
\# 3 & 52
\end{array}$$ If the process proportion of defectives is unknown, what is the estimate of this proportion?

Accepted Answer

The answer of Given the following process control data for...

Question 12

Run tests are useful in helping to identify nonrandom variations in a process.

Accepted Answer

A) True 
 B)False

Question 13

Consider the following information: $$\begin{array} { l r r r r r r } 
\text { Observations } & 1 & 2 & 3 & 4 & 5 & 6 \
\hline \text { Num. of defects } & 10 & 18 & 13 & 15 & 9 & 12
\end{array}$$ The number of runs with respect to the sample median is:

Accepted Answer

A)  3. 
B)  4. 
C)  5. 
D)  6. 
E)  none of these. 
A)  3. 
B)  4. 
C)  5. 
D)  6. 
E)  none of these.

Question 14

A c-chart is used for:

Accepted Answer

A)  means. 
B)  ranges. 
C)  percent defective. 
D)  fraction defective per unit. 
E)  number of defects per unit. 
A)  means. 
B)  ranges. 
C)  percent defective. 
D)  fraction defective per unit. 
E)  number of defects per unit.

Question 15

Given the following process control data for a quality attribute (three samples of size 400 each): $$\begin{array} { l r } 
\text { Sample } & \text { Defectives } \
\hline \# 1 & 36 \
\# 2 & 32 \
\# 3 & 52
\end{array}$$ If the process is known to produce 11 percent defectives on average, what is the mean of the sampling distribution of sample proportions for whenever this process is under control? The standard deviation?

Accepted Answer

The answer of Given the following process control data for...

Question 16

The optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

Accepted Answer

A) True 
 B)False

Question 17

Given the following process control data for a normally distributed quality variable (three samples of size four each): $$\begin{array} { r} 
 { \text { Measurements } } \
\begin{array} { l l l l l } 
\text { Machine } &\
\hline \# 1 & 15 & 14 & 15 & 12 \
\# 2 & 18 & 16 & 20 & 16 \
\# 3 & 16 & 17 & 16 & 17
\end{array}\end{array}$$ What is the sample mean for sample #1? #2? #3?

Accepted Answer

The answer of Given the following process control data for...

Question 18

The assurance that processes are performing in an acceptable manner is the focus of:

Accepted Answer

A)  variability analysis. 
B)  quality assurance. 
C)  capability assessment. 
D)  quality control. 
E)  acceptance sampling. 
A)  variability analysis. 
B)  quality assurance. 
C)  capability assessment. 
D)  quality control. 
E)  acceptance sampling.

Question 19

Four samples of three observations each have been taken, with actual measurements (in centimeters) shown below. Construct three-sigma mean and range charts. $\begin{array}{ccrc}
\text { Sample }\
\begin{array}{ccrc}
\hline 1 & 2 & 3 & 4 \
12.3 & 11.9 & 12.0 & 12.1 \
12.2 & 12.2 & 12.2 & 11.8 \
12.1 & 12.2 & 11.8 & 11.8
\end{array}\end{array}$

$\begin{array}{ccccc}
\text { Sample } & 1 & 2 & 3 & 4 \
\text { Mean } & 12.2 & 12.1 & 12.0 & 11.9 \
\text { Range } & .2 & .3 & 4 & .3
\end{array}$

$\text { Grand mean }=12.05 ; \text { R-bar }=0.3$

Accepted Answer

Control li

Question 20

The process capability index (Cpk) may mislead if:
(I) the process is not stable.
(II) the process output is not normally distributed.
(III) the process is not centered.

Accepted Answer

A)  I and II 
B)  I and III 
C)  II and III 
D)  II only 
E)  I, II, and III 
A)  I and II 
B)  I and III 
C)  II and III 
D)  II only 
E)  I, II, and III

The amount of inspection needed depends on and .

Given the following control chart, would you say that the process appears to be performing appropriately?

Quality control is making sure that processes are performing in an acceptable manner.

A control chart used to monitor the fraction of defectives generated by a process is the:

Given the following process control data for a quality attribute (three samples of size 400 each): Sample Defectives \#1 36 \#2 32 \#3 52 If the process proportion of defectives is unknown, what are the upper and lower control limits for an alpha risk of .10? .05? .01?

If a process is performing as it should, it is still possible to obtain observations which are outside of which limits? (I) tolerances (II) control limits (III) process variability

Quality control tools are not really used to fix quality so much as they are used to:

Given the following process control data for a quality attribute (three samples of size 400 each): Sample Defectives \#1 36 \#2 32 \#3 52 If the process proportion of defectives is unknown, what is the estimate of this proportion?

Run tests are useful in helping to identify nonrandom variations in a process.

Consider the following information: Observations 1 2 3 4 5 6 Num. of defects 10 18 13 15 9 12 The number of runs with respect to the sample median is:

A c-chart is used for:

The optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

Given the following process control data for a normally distributed quality variable (three samples of size four each): Measurements Machine \#1 15 14 15 12 \#2 18 16 20 16 \#3 16 17 16 17 What is the sample mean for sample #1? #2? #3?

The assurance that processes are performing in an acceptable manner is the focus of:

The process capability index (C_pk) may mislead if: (I) the process is not stable. (II) the process output is not normally distributed. (III) the process is not centered.

Introduction to Operations Management

Competitiveness, Strategy, and Productivity

Forecasting

Product and Service Design

Extension: Reliability

Strategic Capacity Planning for Products and Services

Extension: Decision Theory

Process Selection and Facility Layout

Work Design and Measurement

Extension: Learning Curves

Location Planning and Analysis

Extension: The Transportation Model

Management of Quality

Extension: Acceptance Sampling

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

Jit and Lean Operations

Extension: Maintenance

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Filters

Exam 10: Quality Control

The amount of inspection needed depends on __________ and __________.

Given the following control chart, would you say that the process appears to be performing appropriately?

Quality control is making sure that processes are performing in an acceptable manner.

A control chart used to monitor the fraction of defectives generated by a process is the:

Given the following process control data for a quality attribute (three samples of size 400 each): Sample Defectives \#1 36 \#2 32 \#3 52 If the process proportion of defectives is unknown, what are the upper and lower control limits for an alpha risk of .10? .05? .01?

If a process is performing as it should, it is still possible to obtain observations which are outside of which limits? (I) tolerances (II) control limits (III) process variability

Quality control tools are not really used to fix quality so much as they are used to:

Given the following process control data for a quality attribute (three samples of size 400 each): Sample Defectives \#1 36 \#2 32 \#3 52 If the process proportion of defectives is unknown, what is the estimate of this proportion?

Run tests are useful in helping to identify nonrandom variations in a process.

Consider the following information: Observations 1 2 3 4 5 6 Num. of defects 10 18 13 15 9 12 The number of runs with respect to the sample median is:

A c-chart is used for:

The optimum level of inspection occurs when we catch at least 98.6 percent of the defects.

Given the following process control data for a normally distributed quality variable (three samples of size four each): Measurements Machine \#1 15 14 15 12 \#2 18 16 20 16 \#3 16 17 16 17 What is the sample mean for sample #1? #2? #3?

The assurance that processes are performing in an acceptable manner is the focus of:

The process capability index (Cpk) may mislead if: (I) the process is not stable. (II) the process output is not normally distributed. (III) the process is not centered.

Introduction to Operations Management

Competitiveness, Strategy, and Productivity

Forecasting

Product and Service Design

Extension: Reliability

Strategic Capacity Planning for Products and Services

Extension: Decision Theory

Process Selection and Facility Layout

Work Design and Measurement

Extension: Learning Curves

Location Planning and Analysis

Extension: The Transportation Model

Management of Quality

Extension: Acceptance Sampling

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

Jit and Lean Operations

Extension: Maintenance

Supply Chain Management

Scheduling

Project Management

Management of Waiting Lines

Linear Programming

Filters

The amount of inspection needed depends on and .

The process capability index (C_pk) may mislead if: (I) the process is not stable. (II) the process output is not normally distributed. (III) the process is not centered.