Submit a six to eight-page paper (not including the title and reference pages) on one of the major topics listed
below. Incorporate at least two related scholarly sources:
- Linear and integer programming modeling
- Network modeling
- Project scheduling m
Understanding the Problem:
Problem definition is likely the most important step of the Management Science process, and
should be looked at in detail. I say that this is a vital step because it is essentially the foundation
of the process and every identi
Probability, p1 =succeed in developing the microprocessor in time.
Probability, p2 =if exceed changes company will win the 1 million Olympic contract.
Probability, p3 = they do not succeed; there is a small chance she will win the contract.
1. Develop a d
Venture Limited Investment Decision
Sure thing = P1
Less Risky = P2
More Risky = P3
Sure Thing (P1)
Outcome
Less Risky (P2)
Outcomes
Probability
More Risky (P3)
Outcomes
Probability
Venture Decision
B. If p2 5 0.8 and p3 5 0.1, what value of p1
makes Chan
You have been assigned to determine whether more people prefer Coke or Pepsi. Assume that roughly half the pop
P = 0.5
z-multiple 1.959964
B = .02
n = sample size
n = (sqrt(z-multiple/B) * p(1-p)
n = (sqrt(1.96/.02)*0.5(1-0.5)
n=
98
9604
n=
2401
Answer =
PROBABILITY
Coke/Pepsi Dummie
0.5
0.45
0.32
0.28
0.61
0.38
0.24
0.1
0.8
0.52
0.21
Coke
Pepsi
Confidence Interval at 95%
Half Length at 2%
Probability
0
0
Random Data A6-A15 and b5,b6
1
0
1.96
0.02
1
Mean of diference
Standard Deviation of Diference
Count
Example of when you might want to take a cluster random sample instead of a simple
random sample?
To answer this, I first need to see the difference in each.
Cluster random sample is where there are different groups within a population you chose in
your s
Ashford 5: - Week 4 - Discussion 1
For this discussion, you will assess the use of various support decision tools:
1.) Simulation models
2.) Information control
3.) Processes
4.) Paradigm models
5.) Representation aids
6.) Ways of choosing
Simulation mode
Running head: INFORMATION SYSTEMS
1
Information Systems within United Parcel Service
Janice L. Ali
INF220: IS Principles
Instructor: Dr. Pamela Harris
September 07, 2015
INFORMATION SYSTEMS
2
Information Systems within United Parcel Service
In todays worl
Running head: WIND POWER
Network Design for Wind Power Farms
Janice L. Ali
INF220: IS Principles
Instructor: Dr. Pamela Harris
September 21, 2015
1
WIND POWER
2
Network Design for Wind Power Farms
All over the world, wind power is greatly sought after as
The simplest time series forecasting model is one in which the mean value of the item being
examined is assumed to be relatively constant or stationary overtime. (Lawrence, Pasternack,
2002, Pg. 390) Therefore stationary forecasting is a model where the d
Frank Hurley has two options for his crop and wants
to maximum profits. With the multiple data I found it
easier to break each option into two separate
scenarios based on total profit and then summarize
the conclusion.
The Government option gives a total
PERT a technique that treats activity completion times, as random variables, can be used
to determine the likelihood that a project will be completed within a certain time period.
(Lawrence, Pasternack, 2002, Pg. 278)
The Critical path method (CPM) is a d
Running Head: FORECASTING
1
Time Series Forecasting
Your Name Here
BUS 461: Business Systems and Analysis
Instructor Name
Date
FORECASTING
2
Time Series Forecasting
Forecasting is basically the business of predicting the future, statistically. Various peo
StatTools Report
Analysis: Sample Size Selection
Performed By: Gary Smith
Date: Monday, May 15, 2017
Updating: Live
Sample Size for Difference of Proportions
Confidence Level
Half-length of Interval
Proportion 1 (estimate)
Proportion 2 (estimate)
Sample S
Sarah Chang Proposal
benefits of winning contract
Cost of R&D
Cost of Proposal(R&D success)
Cost of Proposal(R&D not success)
Cost of Production
1000000
200000
50000
40000
150000
R&D success
40.0%
0
Continue R&D
#NAME?
Chance
0
0.0001288516
R&D not succes
For Evaluation Only
0.4
successful 3
-50000
continues project 1
-200000
13500
0.6
unsuccessful 4
1
13500
-50000
1
no proposal
abandons project 2
0
0
0
b)
at p1 = 0.352 makes Chang indifferent between abandoning the project and going ahead with it, its sub
Inventory Synopsis
1
Inventory Synopsis
Marvin Phelps
BUS 461: Decision Modeling & Analysis
Dr. Vucetic
November 16, 2015
Inventory Synopsis
2
Inventory Synopsis
Inventory is an essential part of business because of the high cost and direct impact of
over