Question 1

An x-bar and R-chart constructed to monitor and control a process use the same raw data.

Accepted Answer

A) True 
 B)False

Question 2

Consider a production process for a 5.0 o. energy drink. A quality engineer has taken 15 samples each containing 6 energy drinks. The sum of the average of the energy drinks in the 15 samples is 80.20. The sum of the ranges of the energy drinks in the 15 samples is 12.68. The LCL for the control chart reporting variability between the sample means is

Accepted Answer

A)  4.50 
B)  4.65 
C)  4.79 
D)  4.94 
A)  4.50 
B)  4.65 
C)  4.79 
D)  4.94

Question 3

Common (random) variation of a process depends on all the following except

Accepted Answer

A)  errors due to lack of training. 
B)  the equipment and machinery used. 
C)  the operator. 
D)  system used for measurement. 
A)  errors due to lack of training. 
B)  the equipment and machinery used. 
C)  the operator. 
D)  system used for measurement.

Question 4

Consider a production process that produces batteries. A quality engineer has taken 20 samples each containing 100 batterieslight bulbs. The total number of defective unitsbatteries observed over the 20 samples is 1200. The centerline for the control chart constructed using z equal to two is
a. 0.03
b. 0.04
c. 0.05
d. 0.10

Accepted Answer

The answer of Consider a production process that produces batteries....

Question 5

Statistical process control is a subset of statistical quality control.

Accepted Answer

A) True 
 B)False

Question 6

One advantage of using a pattern test is that special cause variations may be identified before any points are plotted outside the control limits.

Accepted Answer

A) True 
 B)False

Question 7

A control chart is in control when the plot of the sample points exhibits a pattern.

Accepted Answer

A) True 
 B)False

Question 8

Statistical process control is based on a philosophy of inspection as opposed to prevention.

Accepted Answer

A) True 
 B)False

Question 9

When a control chart detects no special cause (nonrandom) variation in a process, the upper and lower control limits are the same value.

Accepted Answer

A) True 
 B)False

Question 10

Consider a service process such as a fast food drive through window. The target for a customer's waiting time is 3.0 minutes. A manager observes the process and randomly collects a sample of four waiting times each hour over a 12 hour period. The sum of the average waiting time for each of the 12 samples is 35.4. The sum of the range for each of the 12 samples is 18.0 The centerline for the process control chart reporting variability between the sample means is

Accepted Answer

A)  2.85 
B)  2.95 
C)  3.00 
D) 3.05 
A)  2.85 
B)  2.95 
C)  3.00 
D) 3.05

Question 11

When calculating control limits for a process, the number of standard deviations (Z value) is typically six.

Accepted Answer

A) True 
 B)False

Question 12

To monitor the number of blemishes on a polished surface a company randomly selects 10 units of output from its process and counts the number of blemishes on each unit. The sample results are shown below   Given the sample information above, the average number of defects per unit for this process would be

Accepted Answer

A)  160 
B)  80 
C)  16 
D)  10 
A)  160 
B)  80 
C)  16 
D)  10

Question 13

Attribute control charts are used to monitor descriptive characteristics of the output of a process rather than measurable characteristics.

Accepted Answer

A) True 
 B)False

Question 14

The popularity of Excel and other data analysis software has been a major factor in the increased use of statistical process control.

Accepted Answer

A) True 
 B)False

Question 15

5390. Pizazz manufactures a 5.0 oz. energy drink of the same name. Because the cans are so small, consumers are concerned that they are not receiving the full 5 ounces in each can. A quality engineer at the company is charged with analyzing the filling process and ensuring accurate readings. On 15 different occasions over the past month, she has taken a sample of 6energy drinks off the production line and recorded their weight. If the sum of the sample means is 80.20 ounces and the sum of the sample ranges is 12.68 ounces, the UCL for an X-bar chart of this process would beConsider a production process for a 5.0 oz. energy drink. A quality engineer has taken 15 samples each containing 6 energy drinks. The sum of the average of the energy drinks in the 15 samples is 80.20. The sum of the ranges of the energy drinks in the 15 samples is 12.68. The UCL for the control chart reporting variability between the sample means is

Accepted Answer

A)  5.00 
B)  5.35 
C)  5.76 
D)  6.45 
A)  5.00 
B)  5.35 
C)  5.76 
D)  6.45

Question 16

A c-chart monitors the number of defects in small samples.

Accepted Answer

A) True 
 B)False

Question 17

XYZ manufacturing has received an order to produce a rod 5 inches in diameter + .04 inch. In sample runs, the machine tool that will be making the rod has been able to produce rods with a mean diameter of 4.99 inches and a standard deviation of 0.011 inch. The process capability ratio for this process is

Accepted Answer

A)  -1.44 
B)  -1.21 
C)  1.21 
D)  1.44 
A)  -1.44 
B)  -1.21 
C)  1.21 
D)  1.44

Question 18

Process control is achieved by taking periodic samples from a process and plotting the sample points on a chart to determine if the process is within control limits.

Accepted Answer

A) True 
 B)False

Question 19

It is sometimes not necessary to determine new control limits after special cause (nonrandom) variation has been identified if the source has been eliminated without changing the process.

Accepted Answer

A) True 
 B)False

Question 20

Consider a service process such as a fast food drive through window. The target for a customer's waiting time is 3.0 minutes. A manager observes the process and randomly collects a sample of four waiting times each hour over a 12 hour period. The sum of the range for each of the 12 samples is 18.0. The LCL for the process control chart reporting variability within the samples is

Accepted Answer

A)  0.0 
B)  -1.4 
C)  -2.6 
D)  -3.8 
A)  0.0 
B)  -1.4 
C)  -2.6 
D)  -3.8

An x-bar and R-chart constructed to monitor and control a process use the same raw data.

Common (random) variation of a process depends on all the following except

Statistical process control is a subset of statistical quality control.

One advantage of using a pattern test is that special cause variations may be identified before any points are plotted outside the control limits.

A control chart is in control when the plot of the sample points exhibits a pattern.

Statistical process control is based on a philosophy of inspection as opposed to prevention.

When a control chart detects no special cause (nonrandom) variation in a process, the upper and lower control limits are the same value.

When calculating control limits for a process, the number of standard deviations (Z value) is typically six.

Attribute control charts are used to monitor descriptive characteristics of the output of a process rather than measurable characteristics.

The popularity of Excel and other data analysis software has been a major factor in the increased use of statistical process control.

A c-chart monitors the number of defects in small samples.

Process control is achieved by taking periodic samples from a process and plotting the sample points on a chart to determine if the process is within control limits.

It is sometimes not necessary to determine new control limits after special cause (nonrandom) variation has been identified if the source has been eliminated without changing the process.

Introduction to Operations and Supply Chain Management

Quality Management

Product Design

Service Design

Processes and Technology

Capacity and Facilities Design

Human Resources

Project Management

Supply Chain Management Strategy and Design

Global Supply Chain Procurement and Distribution

Forecasting

Inventory Management

Sales and Operations Planning

Resource Planning

Lean Systems

Operational Decision-Making Tools: Decision Analysis

Operational Decision-Making Tools: Acceptance Sampling

Operational Decision-Making Tools: Facility Location Models

Operational Decision-Making Tools: Work Measurement

Operational Decison-Making Tools: Transportation and Transshipment Models

Operational Decision-Making Tools: Simulation

Operational Decision-Making Tools: Linear Programming

Filters

Exam 3: Statistical Process Control

An x-bar and R-chart constructed to monitor and control a process use the same raw data.

Common (random) variation of a process depends on all the following except

Statistical process control is a subset of statistical quality control.

One advantage of using a pattern test is that special cause variations may be identified before any points are plotted outside the control limits.

A control chart is in control when the plot of the sample points exhibits a pattern.

Statistical process control is based on a philosophy of inspection as opposed to prevention.

When a control chart detects no special cause (nonrandom) variation in a process, the upper and lower control limits are the same value.

When calculating control limits for a process, the number of standard deviations (Z value) is typically six.

Attribute control charts are used to monitor descriptive characteristics of the output of a process rather than measurable characteristics.

The popularity of Excel and other data analysis software has been a major factor in the increased use of statistical process control.

A c-chart monitors the number of defects in small samples.

Process control is achieved by taking periodic samples from a process and plotting the sample points on a chart to determine if the process is within control limits.

It is sometimes not necessary to determine new control limits after special cause (nonrandom) variation has been identified if the source has been eliminated without changing the process.

Introduction to Operations and Supply Chain Management

Quality Management

Product Design

Service Design

Processes and Technology

Capacity and Facilities Design

Human Resources

Project Management

Supply Chain Management Strategy and Design

Global Supply Chain Procurement and Distribution

Forecasting

Inventory Management

Sales and Operations Planning

Resource Planning

Lean Systems

Operational Decision-Making Tools: Decision Analysis

Operational Decision-Making Tools: Acceptance Sampling

Operational Decision-Making Tools: Facility Location Models

Operational Decision-Making Tools: Work Measurement

Operational Decison-Making Tools: Transportation and Transshipment Models

Operational Decision-Making Tools: Simulation

Operational Decision-Making Tools: Linear Programming

Filters