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
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
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
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
ISDS 361B
Professor: Laurent Tambayong, Ph.D.
Email: [email protected]  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
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
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
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
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?
Computer Assignment
15 points
Case 7.1 Bubble Up Bottling Company
Prepare forecast for the soft drink industry using Classical Decomposition method.
Prepare market share forecast using Linear Regression method.
Calculate Bubble Up Company forecast by mult
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
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
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
<Project Name>
Vision
Date: <dd/mmm/yy>
<Project Name>
Vision
1. Introduction
This project is that a person want to make his own courier delivery company called on the spot courier
services.
Bill began to listing his mobile number on the yellow page in th
Media
TV Ads
Variable values
Obj: max Audience
Max TV
Max Radio
Max Paper
Sum Def
50% Radio
10% TV
Budget
4
100000
1
Radio Ads Paper Ads VarSum
14
10
28
18000
40000
1
1
1
2000
1
1
300
1
1
600
Sum LHS
1052000
4 <=
14 <=
10 <=
1
0=
0.5
0 <=
0.1
1.2 >=
Home Work Ch 21
ISDS 361B
Name:
QUANTITATIVE BUSINESS ANALYSIS: STATISTICS MANAGEMENT SCIENCE
Dr. Prem Gupta
1 Samples of 12volt batteries are taken at 30minute intervals during a production run. Each sample
consists of 3 batteries, and a technician rec
Microsoft Excel 15.0 Answer Report
Worksheet: [LP Template graphCalculators SI.xls]Template
Report Created: 10/20/2014 3:39:31 PM
Result: Solver found a solution. All Constraints and optimality conditions are satisfied.
Solver Engine
Engine: Simplex LP
S
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