Question 1

Natural variations

Accepted Answer

A) affect almost every production process. 
B) are the many sources of variation that occur when a process is under control. 
C) when grouped,form a pattern,or distribution. 
D) are tolerated,within limits,when a process is under control. 
E) All of the above are true. 
A) affect almost every production process. 
B) are the many sources of variation that occur when a process is under control. 
C) when grouped,form a pattern,or distribution. 
D) are tolerated,within limits,when a process is under control. 
E) All of the above are true.

Question 2

An operating characteristics curve shows

Accepted Answer

A) upper and lower product specifications. 
B) product quality under different manufacturing conditions. 
C) how the probability of accepting a lot varies with the population percent defective. 
D) when product specifications don't match process control limits. 
E) how operations affect certain characteristics of a product. 
A) upper and lower product specifications. 
B) product quality under different manufacturing conditions. 
C) how the probability of accepting a lot varies with the population percent defective. 
D) when product specifications don't match process control limits. 
E) how operations affect certain characteristics of a product.

Question 3

A quality analyst wants to construct a sample mean chart for controlling a packaging process.He knows from past experience that when the process is operating as intended,packaging weight is normally distributed with a mean of twenty ounces,and a process standard deviation of two ounces.Each day last week,he randomly selected four packages and weighed each.The data from that activity appears below.   (a)If he sets an upper control limit of 21 and a lower control limit of 19 around the target value of twenty ounces,what is the probability of concluding that this process is out of control when it is actually in control?
(b)With the UCL and LCL of part a,what do you conclude about this process-is it in control?

Accepted Answer

(a)These control limits are one standard

Question 4

A quality analyst wants to construct a sample mean chart for controlling a packaging process.He knows from past experience that the process standard deviation is two ounces.Each day last week,he randomly selected four packages and weighed each.The data from that activity appears below.   (a)Calculate all sample means and the mean of all sample means.
(b)Calculate upper and lower control limits that allow for natural variations.
(c)Is this process in control?

Accepted Answer

(a)The five sample means are 23,21,20,19

Question 5

A process is operating in such a manner that the mean of the process is exactly on the lower specification limit.What must be true about the two measures of capability for this process?

Accepted Answer

The Cp ratio does not consider how well

Question 6

The mean and standard deviation for a process for which we have a substantial history are μ = 120 and σ = 2.For the x-bar chart,a sample size of 16 will be used.What is the mean of the sampling distribution?

Accepted Answer

A) 1/8 (0.125) 
B) 7.5 
C) 2 
D) 40 
E) 120 
A) 1/8 (0.125) 
B) 7.5 
C) 2 
D) 40 
E) 120

Question 7

A process that is assumed to be in control with limits of 89 +/- 2 had sample averages of the following- 87.1,87,87.2,89,90,89.5,88.5,and 88.Is the process in control?

Accepted Answer

A) Yes. 
B) No,one or more averages exceeded the limits. 
C) Not enough information to tell. 
D) No,there is a distinguishable trend. 
E) No,two or more consecutive points are very near the lower (or upper)limit. 
A) Yes. 
B) No,one or more averages exceeded the limits. 
C) Not enough information to tell. 
D) No,there is a distinguishable trend. 
E) No,two or more consecutive points are very near the lower (or upper)limit.

Question 8

Which of the following is true of a p-chart?

Accepted Answer

A) The lower control limit is found by subtracting a fraction from the average number of defects. 
B) The lower control limit indicates the minimum acceptable number of defects. 
C) The lower control limit equals D3 times p-bar. 
D) The lower control limit may be at zero. 
E) The lower control limit is the same as the lot tolerance percent defective. 
A) The lower control limit is found by subtracting a fraction from the average number of defects. 
B) The lower control limit indicates the minimum acceptable number of defects. 
C) The lower control limit equals D3 times p-bar. 
D) The lower control limit may be at zero. 
E) The lower control limit is the same as the lot tolerance percent defective.

Question 9

A city police chief decides to do an annual review of the police department by checking the number of monthly complaints.If the total number of complaints in each of the 12 months were 15,18,13,12,16,20,5,10,9,11,8,and 3 and the police chief wants a 90% confidence level,are the complaints in control?

Accepted Answer

From Table S6.2 in the text,z = 1.65
c-b

Question 10

The acceptable quality level (AQL)is the average level of quality we are willing to accept.

Accepted Answer

A) True 
 B)False

Question 11

What are the three possible results (or findings)from the use of control charts?

Accepted Answer

The results of a control chart

Question 12

What is the basic objective of a process control system?

Accepted Answer

It is to provide a s

Question 13

What do the terms producer's risk and consumer's risk mean?

Accepted Answer

Producer's risk: the risk of r

Question 14

The defect rate for a product has historically been about 1.6%.What are the upper and lower control chart limits for a p-chart,if you wish to use a sample size of 100 and 3-sigma limits?

Accepted Answer

@#IMG-DLM& = @#IMG-DLM& + 3 @#IMG-DLM& = 0.016 + 3

Question 15

If   = 23 ounces,σ = 0.4 ounces,and n = 16,the ±3σ control limits will be

Accepted Answer

A) 21.8 to 24.2 ounces. 
B) 23 ounces. 
C) 22.70 to 23.30 ounces. 
D) 22.25 to 23.75 ounces. 
E) 23.3 to 25.7 ounces. 
A) 21.8 to 24.2 ounces. 
B) 23 ounces. 
C) 22.70 to 23.30 ounces. 
D) 22.25 to 23.75 ounces. 
E) 23.3 to 25.7 ounces.

Question 16

Jars of pickles are sampled and weighed.Sample measures are plotted on control charts.The ideal weight should be precisely 11 oz.Which type of chart(s)would you recommend?

Accepted Answer

A) p-charts 
B) c-charts 
C)    - and R-charts 
D)    -,but not R-charts 
E) both p- and c-charts 
A) p-charts 
B) c-charts 
C)    - and R-charts 
D)    -,but not R-charts 
E) both p- and c-charts

Natural variations

An operating characteristics curve shows

A process is operating in such a manner that the mean of the process is exactly on the lower specification limit.What must be true about the two measures of capability for this process?

The mean and standard deviation for a process for which we have a substantial history are μ = 120 and σ = 2.For the x-bar chart,a sample size of 16 will be used.What is the mean of the sampling distribution?

A process that is assumed to be in control with limits of 89 +/- 2 had sample averages of the following- 87.1,87,87.2,89,90,89.5,88.5,and 88.Is the process in control?

Which of the following is true of a p-chart?

The acceptable quality level (AQL)is the average level of quality we are willing to accept.

What are the three possible results (or findings)from the use of control charts?

What is the basic objective of a process control system?

What do the terms producer's risk and consumer's risk mean?

The defect rate for a product has historically been about 1.6%.What are the upper and lower control chart limits for a p-chart,if you wish to use a sample size of 100 and 3-sigma limits?

If = 23 ounces,σ = 0.4 ounces,and n = 16,the ±3σ control limits will be

Jars of pickles are sampled and weighed.Sample measures are plotted on control charts.The ideal weight should be precisely 11 oz.Which type of chart(s)would you recommend?

Operations and Productivity

Operations Strategy in a Global Environment

Project Management

Forecasting

Sustainability in the Supply Chain and Design of Goods and Services

Managing Quality

Process Strategy and Sustainability

Location Strategies

Layout Strategies

Human Resources,job Design,and Work Measurement

Supply-Chain Management

Inventory Management

Aggregate Planning

Material Requirements Planning Mrpand ERP

Short-Term Scheduling

Jit and Lean Operations

Maintenance and Reliability

Capacity and Constraint Management

Supply Chain Management Analytics

Decision-Making Tools

Linear Programming

Transportation Models

Waiting-Line Models

Learning Curves

Simulation

Filters

Exam 18: Statistical Process Control

Natural variations

An operating characteristics curve shows

A process is operating in such a manner that the mean of the process is exactly on the lower specification limit.What must be true about the two measures of capability for this process?

The mean and standard deviation for a process for which we have a substantial history are μ = 120 and σ = 2.For the x-bar chart,a sample size of 16 will be used.What is the mean of the sampling distribution?

A process that is assumed to be in control with limits of 89 +/- 2 had sample averages of the following- 87.1,87,87.2,89,90,89.5,88.5,and 88.Is the process in control?

Which of the following is true of a p-chart?

The acceptable quality level (AQL)is the average level of quality we are willing to accept.

What are the three possible results (or findings)from the use of control charts?

What is the basic objective of a process control system?

What do the terms producer's risk and consumer's risk mean?

The defect rate for a product has historically been about 1.6%.What are the upper and lower control chart limits for a p-chart,if you wish to use a sample size of 100 and 3-sigma limits?

If = 23 ounces,σ = 0.4 ounces,and n = 16,the ±3σ control limits will be

Jars of pickles are sampled and weighed.Sample measures are plotted on control charts.The ideal weight should be precisely 11 oz.Which type of chart(s)would you recommend?

Operations and Productivity

Operations Strategy in a Global Environment

Project Management

Forecasting

Sustainability in the Supply Chain and Design of Goods and Services

Managing Quality

Process Strategy and Sustainability

Location Strategies

Layout Strategies

Human Resources,job Design,and Work Measurement

Supply-Chain Management

Inventory Management

Aggregate Planning

Material Requirements Planning Mrpand ERP

Short-Term Scheduling

Jit and Lean Operations

Maintenance and Reliability

Capacity and Constraint Management

Supply Chain Management Analytics

Decision-Making Tools

Linear Programming

Transportation Models

Waiting-Line Models

Learning Curves

Simulation

Filters