POM 651-01 Advanced Operations Analysis
Spring 2015
University of Massachusetts Dartmouth
Charlton College of Business
Decision and Information Sciences
Instructor:
Dr. Gang Wang
CCB, Room 214
(508) 999-8870 (office)
E-mail: gwang1@umassd.edu
Time/Place:

Chapter 2
Problem 1
a.
Quantitative data
b. Categorical data
c.
Categorical data
d. Quantitative data
e.
Categorical data
Problem 3
a.
As table 1 shows, Blue Box Shipping is providing the best service in the current year and Rapid Response is
providing th

Chapter 8
Problem 1
a.
Let
R = number of units of regular model.
C = number of units of catchers model.
Max 5 * R + 8 * C
s.t.
R + 1.5 * C 900
cutting and sewing
1/2 * R + 1/3 * C 300
finishing
1/8 * R + 1/4 * C 100
packaging and shipping
R, C 0
R, C = in

s.t.
budget
risk
I investment
50
240
35
I
return
risk
B
12%
6
9%
4
Amount Invest
20
30
Objective
5.1
Total risk
240
Total budget
50
Total I
20
Microsoft Excel 16.0 Answer Report
Worksheet: [Chapter 8 problem 3.xlsx]Sheet2
Report Created: 2016/3/29 20:50:5

Parameters
Regular
Cutting and sewing
Finishing
Packing and Shipping
Profit/Glove
1.0000
0.5000
0.1250
$5
catchers
Time Available
1.5000
900.00
0.3333
300.00
0.2500
100.00
$8
Model
Regular
Number of gloves manufactured
Maximize total profit
Cutting and se

Chapter 4
Linear Regression
1
Introduction
Managerial decisions are often based on the relationship
between two or more variables.
For example, after considering the relationship between
advertising expenditures and sales, a marketing manager might
atte

Chapter 1
Introduction
1
Introduction
2
Introduction
Three developments spurred recent explosive growth in the use
of analytical methods in business applications:
First development:
Technological advances, Internet social networks, and data
generated f

Chapter 12
Decision Analysis
1
Introduction
Business analytics is about making better decisions.
Decision analysis can be used to develop an optimal strategy:
When a decision maker is faced with several decision alternatives
and an uncertain or risk-fi

Chapter 8
Linear Optimization
Models
1
Introduction
2
Optimization Problems
Optimization problems:
Can be used to support and improve managerial decision making.
Maximize or minimize some function, called the objective
function, and have a set of restr

Chapter 5
Time Series Analysis
and Forecasting
1
Introduction
Forecasting methods can be classified as qualitative or
quantitative.
Qualitative methods generally involve the use of expert judgment
to develop forecasts.
Quantitative forecasting methods

Chapter 2
Descriptive Statistics
1
Overview of Using Data:
Definitions and Goals
2
Overview of Using Data: Definitions and Goals
Data: The facts and figures collected, analyzed, and summarized
for presentation and interpretation.
Variable: A characteris

Chapter 9
Integer Linear
Optimization Models
1
Introduction
2
Introduction
Integer linear programs: Problems that are modeled as linear
programs with the additional requirement that one or more
variables must be integer.
The objective is to provide an a

Chapter 4
Problem 1
a.
10000
9000
8000
7000
6000
Price 5000
4000
3000
2000
1000
0
12.0
13.0
14.0
15.0
16.0
17.0
18.0
19.0
Weight
Figure 1
As the scatter chart shows, the weight and price might have negative linear relationship.
b.
Table 1
According to tab