PR 1A Cab Company Scheduling
let Di = # of drivers who start their 8 hour shift in period I (I = 1,2,3,4,5,6)
period 1
12:00:00 AM-4:00am
period 4
12 noon - 4:00pm
period 2
4:00am - 8:00am
period 5
4:
Portfolio Manager
Profolio
Profit Percentage:
Resources:
Total Investments
VaR percentage on Stocks
VaR percentage on Real Estate
VaR percentage on Bonds
Stocks minimum holding
Real Estate minimum hol
Problem #30
Products
Sales Revenue Per Issue
Resources/Requirements
Production Time
Paper (Pounds)
Demand Daily Life
Demand Agriculture Today
Demand Surf's Up
Circulation Requirement
X1
2.25
X2
4.00
X
3. World Foods, Inc.
From
1. Hamburg
2. Marseilles
3. Liverpool
Warehouse
4. Norfolk
5. New York
6. Savannah
4. Norfolk
$320
410
550
6. Savannah
$555
365
525
Distribution Center
7. Dallas
8. St. Louis
Adrian Martin
HWRS 203
Table _
08/25/11
Dehydrating Conflict Article Summary
Water conflict has never been a really impactful in our day-to-day lives. But over
the next fifteen years water wars might
1. transportation problem
From
A
B
C
DV
From
A
B
C
Constraint
Demand
Objective Minimize Cost
1
$5
2
4
To (cost)
2
$4
3
8
3
$3
5
7
1
0.00
30.00
50.00
80.00
=
80
To
2
70.00
40.00
0.00
110.00
=
110
3
60.
Assignment 1: Linear Programming Case Study
By
Naroot Chanthachit
Present to
Professor Wael Abushammala
MAT540
June 16, 2015
1
I. Introduce your solution to the project by describing the problem. Corr
Vineyard
New York
Ohio
Pennsylvania
Vineyard
Virginia
Michigan
Tennessee
Indiana
DV
Vineyard
New York
Ohio
Pennsylvania
Total shipment
Vineyard
Virginia
Michigan
Tennessee
Indiana
Demand
Capacity
Mini
Continuous Probability
#1- The average number of days needed to repair the copier when it breakdowns
Probability
0.20
0.45
0.25
0.10
1.00
Average Repair Time-Days
Cumulative
Probability
0.00
0.20
0.65
Forecasting
Quantitative Methods
Outline
Define Forecasting
The Three Time Frames of
Forecasting
Forms of Forecast Movement
Forecasting Approaches
Examples of Qualitative/
Technological Forecasting Me
MAT 540 QUANTITATIVE METHODS FINAL EXAM
Grade Details
1.
Question :
The linear programming model for a transportation
problem has constraints for supply at each source
and demand at each destination.
Mat 540 Quantitative Methods Final Exam 2013
Question 1
5 out of 5 points
In an unbalanced transportation model, supply does not equal demand and one set of constraints
uses signs.
Correct Answer: Tru
Target Cell (Max)
Cell
$B$19 Profit Total
Adjustable Cells
Cell
$B$16 Pizza Pizza
$B$17 Hotdogs Pizza
$B$18 Barbecue Pizza
Name
Original Value
2250
Name
Original Value
1250
1250
0
Constraints
Cell
Nam
Week 4 Discussion Question 1: "Forecasting"
Choose one of the forecasting methods and explain the rationale behind using it in reallife. Describe how a domestic fast food chain with plans for expandin
1. Regret is the difference between the payoff from the best decision and all other decision
payoffs.
2. Variable costs are independent of volume and remain constant.
3. Regret is the difference betwe
Week 2 Discussion Question 1: "Decision Tree"
Explain the parts of a decision tree.
A Decision Tree is a graphical layout of opportunities or options for a decision maker. It
assist the user by guidin
1. Deterministic techniques assume that no uncertainty exists in model parameters.
2. A continuous random variable may assume only integer values within a given interval.
3. A joint probability is the
Week 6 Midterm Exam:
1. _ is a technique for selecting numbers randomly from a probability distribution.
2. Monte Carlo is a technique for selecting numbers randomly from a probability distribution.
3
Week 3 Discussion Question 1: "Pseudorandom"
Why do we use pseudorandom numbers in simulations?
According to our text, pseudorandom numbers are generated by a mathematical process as
opposed to a phys
Field Trip Write-Up
Destination: Sutters Fort
The arrival to Sutters Fort will be at 10:30 am on December 07, 2016
Students will be divided into groups of 5-7, depending on attendance, and they
will b
TRUE/FALSE clearly indicate your response.
1. Sensitivity analysis is the analysis of the effect of parameter changes on
the optimal solution. T
.
2. The sensitivity range for an objective function co
"The Political Context of Public Administration" Please respond to the following. Note: Online students,
please respond to two (2) of the following four (4) bulleted items.
From the second e-Activity,
"Writing Budget Justifications" Please respond to the following:
From the second e-Activity, provide three (3) justifications for an increase to the four (4) highest
discretionary spending accounts.
A
"Revenue Estimating" Please respond to the following:
From the e-Activity about the Annual Population Estimates 2000 to 2009, analyze and forecast a
comparison of the population growth rate from 2010
"Planning, Implementation, and Evaluation" Please respond to the following. Note: Online students,
please respond to two (2) of the following three (3) bulleted items.
Evaluate the importance of each
"Life Cycle Costing" Please respond to the following:
From the first e-Activity, discuss at what point an administrator should decide when the product
should be terminated during the life cycle analys
"Budgeting 101" Please respond to the following:
From the second e-Activity, discuss three (3) challenges in the budget process. Justify your response with
examples.
The challenges with the budget pro
"Budgeting and Financial Management" Please respond to the following. Note: Online students, please
respond to two (2) of the following three (3) bulleted items.
From the weekly readings and e-Activit