OPR 601: MANAGERIAL DECISION MODELS AND SIMULATION
Winter 2016-2017
ASSIGNMENT # 3 (due before class on Wednesday, February 1st)
1) Ajax Fuels, Inc., is developing a new additive for airplane fuels. The additive is a
mixture of three ingredients: A, B, an
OPR 601: MANAGERIAL DECISION MODELS AND SIMULATION
Winter 2016-2017
ASSIGNMENT # 1 (due before class on Wednesday, January 18th)
1) Every LP must fall into one of the following cases:
Case 1: The LP has unique optimal solution.
Case 2: The LP has alternat
OPR 601: MANAGERIAL DECISION MODELS AND SIMULATION
Winter 2016-2017
ASSIGNMENT # 7 (due March 15th)
0) IMPORTANT: For each question in this assignment, please use the 20 random variables given
below, also provided in the attached Excel sheet.
0.466
0.665
OPR 601: MANAGERIAL DECISION MODELS AND SIMULATION
Winter 2016-2017
ASSIGNMENT # 4 (due before class Wednesday, February 8th)
1) In class, we followed the convention of using negative numbers to represent the supply
at a node and positive numbers to repre
OPR 601: MANAGERIAL DECISION MODELS AND SIMULATION
Winter 2016-2017
ASSIGNMENT # 5 (due before class, Wednesday, March 1st)
1) Your express package courier company is drawing up new zones for the location of
drop boxes for customers. The city has been div
1. How to get into the top MBA programs,
Don Martin.
2. 115 ESSAY, 17
.
3. 21 ESSAY
. ESSAY
.
4. , .
5. CHASEDREAM , ,
.
Xiearmyxiearmy
Chapter I
Application Essay Examples
INTRODUCTION
This appendix contains 115 actual essays written, by 17 differe
Strengths:
I think my strengths are that my attitudes are firm and I will always try not to
arouse dispute. And most of the time I keep in mind what my goals are. And I also
would put myself in the other sides shoes, I would love to compromise when I
woul
ORGB 640 Ziegert
LeBow College of Business, Drexel University
Spring 2017
Professor Jonathan Ziegert
Drexel University
LeBow College of Business
NEGOTIATIONS FOR LEADERS
ORGB 640 3 Credits
Spring 2017
Email: [email protected]
Phone: 215-895-1087
Office:
ALEXANDER CHERNEV
Golden Island Jerky:
Orchestrating a New Product Launch
A
nna Kan, the CEO of Formosa Meat Company, had just finished reading the latest
company reports and felt a growing sense of urgency. Despite the companys efforts
over nearly a deca
Your Trip from Munich to Moscow
On your post-graduation celebratory trip you decide to travel from Munich, Germany to
Moscow, Russia. You leave Munich with 15,000 euros in your wallet. Wanting to
exchange all of these for Russian rubles, you obtain the fo
Galveston Fishing Company
1. Analysis of comparable firms
Ocean Foods, Inc.
Sales
Net Income
Total current assets
Total assets
Total current liabilities
Long-term debt (book value)
Net worth (book value)
$
Closing share price
Shares (000)
Earnings per sha
Auto-pay
Year 1
Revenues
Product/Service Costs
Marketing Costs
Customer Profit
% Customers that remain active
Profit expected on average
Discount Factor
Present Value of Expected Porfits
Installation Charge
Revenues from installation
Customer Lifetime Val
Allocation of decision rights and the investment strategy of mutual funds
Nishant Dass, Vikram Nanda, Qinghai Wang
Strategy Overview
This paper studies how the allocation of control rights in mutual funds
affects their investment strategies using a sample
1
Instructor:AlexisGerardFingerTelephone:2158956818/2022
OfficeHours:Mon.Fri,after10:00Office:#48,Room109
Place:PSRC,Room104Email:[email protected]/
CRN30366
Humanities006:OralCommunicationSkillsforNonNativeSpeakers
1.All the worlds a stage and all the
Table of Contents
Title Page
Copyright Page
Dedication
Preface to the Second Edition
Acknowledgements
Introduction
PART I - THE SIX FOUNDATIONS OF EFFECTIVE NEGOTIATION
Chapter 1 - The First Foundation: Your Bargaining Style
Chapter 2 - The Second Foundat
No Delay
Delay
No Delay Delay
0.85
0.15
0.25
0.75
a.
Next Period Delay
Following Period Dela
b.
(i)
(ii)
(iii)
Need to solve:
0.85p1+0.25p2=p1
0.15p1+0.75p2=p2
p1+p2=1
0.75
0.5625
From (i)
p2=0.6p1
Then, from (iii) p1+0.6p1=1, so
p1=1/1.6 = 0.625
So
p2=1-
Arrival
Service
a.
b.
c.
d.
e.
f.
2.2
5
P_0
P_1
P_2
P_3
>2
Wq
0.56
0.2464
0.108416
0.047703
0.037481 "More than two waiting" means that there are more than 3 in the entire system.
0.157143
Lq
0.345714
e entire system.
a.
Arrival
Service
Lq
Wq
15
30
0.5
0.
1.
a. Yes, because both constraints are satisfied.
b. No, we can easily find another feasible solution that gives a larger objective function
value. For example, (6,6,0,0) satisfies both constraints and has an objective function
value of 90, while the obj
Homework 4: Due Thursday, December 1
1) Chapter 5 #13
2) Chapter 5 #15
3) Chapter 5 #17
4) Chapter 7 #11 parts d and e.
5) Chapter 7 #23 part a
6) An engineer is trying to formulate the minimum cost set of materials to use in an upcoming
project. There ar
Grain Elevator
1. Kansas City
2. Omaha
3. Des Moines
Demand
Mills
A. Chicago B. St. Louis C. Cincinnati
$6
$8
$10
$7
$11
$11
$4
$5
$12
200
100
300
Supply
150
175
275
600
Decision Variables
Grain Elevator
1. Kansas City
2. Omaha
3. Des Moines
Chicago
25
0
Version 1 (SST in problem 1 is 3900)
1. a) Multiple Factor without replication
b) H0: All row means or equal, Fail to reject H0 because CV = 6.94 > 0.375 = Test Stat
c) 300
d) 1600/3900
e) H0: All row variances are equal, Test Stat = 20/5 = 4. Fail to rej
a
DRB=1000
DRW=800
Profit=424,000
b.
Yes, in the current optimal solution we use all available steel. Because the dual value (shadow price) is positive,
Since the cost of additional steel is $2 per pound, we would need the shadow price to exceed $2 to pro
Sweatshirt F
Sweatshirt B/F
T-shirt F
T-shirt B/F
Available
Available
Budget
Available
Available
time
space
t-shirts
sweatshirts
Decision variables
Sweatshirt F
Sweatshirt B/F
T-shirt F
T-shirt B/F
Processing Time
(hr/dozen)
0.1
0.25
0.08
0.21
Cost
($/doz
Weight (%) Score (0-3)
Report Organization
1 Rough Draft Was Submitted
2 Information is presented in a logical sequence/all relevant
subsections are included
3 Report is free from spelling and grammatical errors
4 Peer Grade
Report Content
1 Case Study/In
Max Hours
Avery
160
Baker
160
Campbell
140
Total
460
Client
A
B
C
D
Total
Hours
$/hr
A
Avery
Baker
Campbell
Hours
A
Avery
Baker
Campbell
Maximize
Constraints
Avery
Baker
Campbell
A
B
C
D
180
75
100
85
440
B
100
120
155
C
125
135
150
B
0
40
140
D
115
115
1
Constraint Television Radio
Newspaper
Audience
100000
18000
40000
Cost
2000
300
600
Max Usage
10
20
10
Dec Var
Television Radio
Newspaper
4
14
10
Maximize
Constraints
Radio Max
TV Min
TV
Radio
Newspaper
a)
Budget
1052000
14 <=
4 >=
4 <=
14 <=
10 <=
14
2.8