Linear Programming Home Work
1)
Yard Inc. manufactures two lawn fertilizers. Each fertilizer product is a blend of two raw materials
known as K40 and K50. During the current production period 900 pounds of K40 and 400 pounds of K50
are available. Each pou
Great American Mill Company

1. The final production schedule and loom assignments for each fabric will be from one and
three. The production will be from the dobbie loom fabrics one and two. Also while
producing fabrics three, four, and five on the regu
Assignment 12
1.
PRODUCT PRODUCTION, Kite N String manufactures oldfashioned diagonal and
box kites from highstrength paper and wood. Each diagonal kite, which nets the
company a $3 profit, requires 8 square feet of paper and 5 linear feet of wood (incl
DepartmentofInformationSystemsandDecisionSciences
(657)2782221/Fax(657)2785940
Spring 2015
ISDS 361B
COURSE:
INFORMATION SYSTEMS AND DECISION SCIENCES 361B
QUANTITATIVE BUSINESS ANALYSIS
STATISTICS & OPERATIONS RESEARCH
PROFESSOR:
Dr. Prem Gupta
SECTIONS
ISDS 361B
Professor: Laurent Tambayong, Ph.D.
Email: ltambayong@fullerton.edu  always the best way to contact me.
Please insert your name and class time in the subject line of any email you send me.
Office Location: IRVC 262
Office Hours: M 124pm by ap
Assignment 1
To raise awareness of individuals own blood pressure, the Heart Association plans to install a free
blood pressure testing booth in Tyler Mall for the week. Previous experience indicates that, on the
average, 10 persons per hour request a tes
Assignments 14
1. Budsmarter is a distributor of cases of beer. The average cost per case of beer is $5.00.
The total inventory holding or inventory carrying cost is 25% of its inventory value. The cost of
placing an order, regardless of the quantity requ
EXAM 3 PRACTICE TEST
Questions 16 are part of the following question
Brad owns a retail store that has an arrival rate of 8 customers per hour. The cashier
takes 5 minutes to service a customer and get them through checkout.
1.
What is the service rate?
Linea
r
Progr
ammi
ng
Hom
e
Work
1)
Yard Inc. manufactures two lawn fertilizers. Each fertilizer product is a blend of two raw
materials
Known as K40 and K50. During the current production period 900 pounds of K40 and 400 pounds of
K50
Are available. Each
SUMMARY OUTPUT
Regression Statistics
Multiple R
#
R Square
#
Adjusted R Square
#
Standard Error #
Observations
7
X Residual Plot
Residuals
ANOVA
df
Regression
Residual
Total
1
5
6
X Line Fit Plot
5
SS
MS
#
#
# 2.096875
210
F
Significance F
#
#
Coefficient
Forecasting Quiz
Consider the following time series representing home satellite dish
installations by Big Boys Appliances over the past twelve months:
Month
Installations Month Installations Month
Installations
January
14
May
22
Sept.
38
February
19
June
Forecasting Quiz
Consider the following time series representing home satellite dish
installations by Big Boys Appliances over the past twelve months:
Month
Installations Month Installations Month
Installations
January
14
May
22
Sept.
38
February
19
June
The Bradley family owns 410 acres of farmland on which they grow corn and tobacco.
Each acre of corn costs $105 to plant, cultivate, and harvest; each acre of tobacco
costs $210. The Bradleys have a budget of $52,500 for next year. The government
limits t
Problem # 1
A store makes two products from gold and platinum. Following is the linear programming model
for production in order to maximize profit.
Maximize Z = 300 x1 + 400 x2 (profit, $)
subject to
3 x1 + 2 x2 <= 18 (gold, oz)
2 x1 + 4 x2 <= 20 (platin
Chapter 1
Problem Summary
Prob. #
Concepts Covered
1.1
1.2
1.3
1.4
The management science process
When to use simplistic vs. complex models
Building a simple mathematical model
Writing constraints and an objective function
solving for an optimal solution
Chapter 3 Linear Programing Applications
X1= Number of TV Ads
X2= Numver of Radio Ads
X3=Number of Newspaper Ads
X4=Total Number of Ads
Max Audience=100,000X1+18,000X2+40,000X3
Budget
2000X1+300X2+600X3<=18,200
Define X4
X4=X1=X2+x3
Radio Limit
X2<=.5*X4
1. The following information is for Johns investment firm.
a. Expected annual return of at least 7.5%.
b. At least 50% invested in ARated investments.
c. At least 40% invested in immediately liquid investments.
d. No more than $30,000 in savings accounts
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.959273
R Square 0.920206
Adjusted R Square
0.917859
Standard Error
3374.963
Observations
36
ANOVA
df
Regression
Residual
Total
Intercept
month
SS
MS
F Significance F
1 4.5E+009 4.5E+009 392.0951 3.0E020
3
Chapter 7 Forecasting Models
Forecasting Models Types: Moving Average, Stationary, Seasonal,
7.2 Stationary Forecasting Model  the mean value of the time series is assumed to be constant
General form is >
Y = Bo+B1t+E
History
Future
t
1
2
3
t
t+1
t+2
t+
Chapter 3
Problem Summary
Prob. #
Concepts Covered
3.1
3.2
Maximization production model
Maximization model with " "=", "
",
"
constraints
Maximization production model, percentage
constraints, interpretation of shadow prices and
range of feasibility
Maxi
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.9657798751 coeffient of co relation
R Square
0.9327307672
Adjusted R Square
0.9192769207
Standard Error
4.3699856056
Observations
7
ANOVA
df
Regression
Residual
Total
SS
MS
F
Significance F
1 1323.94470046
132 WORKSHEET (12.2) EXTRA PRACTICE LINEAR REGRESSION
The following table contains the advertising cost for a particular item and the number of
items sold.
Advertising Cost
In hundreds of
dollars
1
2
3
4
5
9
10
A.
Number of items sold
in hundreds
47
52
55