Practice Problems Solutions C.Queuing Models
Question C.1
The underlying assumptions are:
1. Arrivals are FIFO.
2. There is no balking or reneging.
3. Arrivals are independent.
4. Arrivals are Poisson.
5. Service times are independent.
6. Average service
Practice Problems Solutions B3. LP Sensitivity Analysis
Problem B3.1
Explain the 100% rule and its role in analyzing the impact of simultaneous changes in model input data
values.
Problem B3.2
How do we detect the presence of alternate optimal solutions f
3QA3: MS for Business
Midterm Exam Computer
October 2013
Instructions
1. You have one hour to complete three questions. At the end of one hour TAs will start to grade your Excel worksheets.
So use your time carefully.
Use a different Excel file for each q
3QA3: MS for Business
Practice Midterm Exam
October 2013
All answers, calculations, and other work in this Exam must be written with an INK PEN.
1-4. Consider the following flow chart and probabilities distributions for a service system at a bank.
custome
Practice Problems Questions B2. Standard LP Problems
Problem B2.1 - 3
A manufacturer of travel pillows must determine the production plan for the next production cycle. She
wishes to make at least 300 of each of the three models that her firm offers and n
Section A: Simulation
Section A.1: Introduction
A simulation is a mathematical model of a real-world process or system.
The idea is to imitate the real-world system (e.g. revenue management at a trucking company)
mathematically in order to study its chara
100% Rule for changing constraints RHSs: All< information in the Answer and Sensitivity Report is
validated if
Expected Monetary Value (EMV) = Sum of (Payoffs x Prob.)<- Pick Highest
Expected Value with Perfect Info (EVwPI) = Sum of (Best Payoff x Prob.)
Sensitivity Analysis is an analysis of how changes in the LP problems (constraints or coefficient) affect the solution
Shadow price Marginal Objective Function by changing 1unit RHS (units objective/constraint)Shadow price = 0 when non-binding, Shadow pri
Shadow price Marginal Objective Function by changing 1unit RHS (units objective/constraint) Shadow price = 0 when non-binding, Shadow price > 0 when binding.
Shadow price for non-negativity constraints = Reduced costs (how much your objective function cha
i. Input data
-these data follow directly from the problem
Bus's passenger capacity =
Minimum reservation request =
Maximum reservation request =
Probability person shows up
Reservation deposit amount =
Balance of ticket price =
Walk-up ticket price =
Cos
Example A.4 - parts i and ii
i. Input data
-these data follow directly from the problem
Bus's passenger capacity =
Minimum reservation request =
Maximum reservation request =
Probability person shows up
Reservation deposit amount =
Balance of ticket price
COMMERCE 3QA3
ASSIGNMENT #1 (Chapter 5)
(As indicated below, solutions for some problems are at the end of the chapter while
solutions for the rest are available on Avenue)
Chapter 5 (pg.228): 1, 2, 3, 7, 8 (solutions pg. 236-238) 21, 29, 30,
and after No
Folding back the tree:
The tree in Fig- 8- 1 above is equivaleilt to the following tree,
Payoffs
Hi h Demand 0. so $200 000
outcome Noah: 386,0) '
N 1 Moderate Demand 0-50 $1 00-000
"- Low Dem d 0.2-0
marsh," Noe-e qsfis " 451 20.000
'1 \f ngh
Supply Chain Innovations for
Competitive Advantage
Hewlett-Packard Case Study
David Pieper
WW Supply Chain Business Development
Manufacturing & Distribution Industries
2004 Hewlett-Packard Development Company, L.P.
The information contained herein is sub
Quiz Information and Instructions
There is a bank of about 50 questions for each quiz. Each student is randomly given 16 questions for
their quiz. The following are examples of the kinds of questions student should expect. Quiz questions
can also be found
Solver - Answer Report
- If a non-negativity
constraint is
<= slack RHS LHS
binding, then the
>= surplus LHS RHS
reduced cost for X
If constraint is binding, slack or (or the shadow
surplus = 0.
price for the
LHS = RHS If constraint is not
constraint) is
Continuous Uniform Distribution
Discrete Uniform Distribution
=a+(b-a)*(RAND()
om Numbers
ND()
dom Value b/w 0 and 1
=INT(a+ (b a + 1) *RAND() or
- Lower limit (a), upper limit (b)
al Distribution
=RANDBETWEEN(a,b)
Exponential Distribution
RMMINV(RAND(),m
J)
Richard lvey School of Business 1 I I E
The University of Westem Ontario
"910D05
OPERATIONS STRATEGY AT GALANZ
Dr. Stephen Ng and Barbara U wrote this wse under the supervision of Professors Xiande Zhao, Xuejun Xu and Yang Lei solely to
provide mat
Supplier Self Service (SUS)
Creating SUS Invoices & Credit Memos (Membuat Invois SUS & Memo Kredit)
CREATING SUS INVOICES & CREDIT MEMOS
SUPPLIER SELF SERVICE (SUS)
USER GUIDE
MEMBUAT INVOIS SUS & MEMO KREDIT
PANDUAN PENGGUNA
Table of Contents (Isi Kandun
Industry 4.0 Is Transforming Supply Chains
What it Means for Your Business and How To Become Industry 4.0-Ready
HOW INDUSTRY 4.0 IS TRANSFORMING SUPPLY CHAINS
Introduction: What is Industry 4.0?
Its a hot term these days: Industry 4.0. But what
exactly is
The Internet of Things
and the
Modern Supply Chain
WHITE
PAPER
By
Gregory Braun
Senior Vice-President, Sales & Marketing
C3 Solutions
In Brief
The Internet of Things is a term youve likely heard quite a bit in the past year or so.
Its frequently mentioned
This document is authorized tor use only by Gunatan Nadarajah Universili
Asia Case
Research Centre
THE UNIVERSITY OF HONG KONG
BENJAMIN YEN
ALI FARHOOMAND
Henry Tan, CEO of major apparel manufacturer Lu 7
chain strategy would differentiate it from 0th _
INDIAN INSTlTUTE OF MANAGEMENT -
BANGALORE !
hem
MB 425
SUHRUTA KULKARNI, KRIPA MAKHIJA AND U DINESH KUMAR
APOLLO HOSPITALS: DIFFERENTIATION THROUGH HOSPITALITY
The wow factor in service relies on constant innovation and demands continuous and sensitive
f
International Journal of Business and Social Science
Vol. 4 No. 1; January 2013
Religion and Individual Investment Choice Decision: The Case of Malaysia
Dr. Nurasyikin Jamaludin
Senior Lecturer
Faculty of Management and Economics
Universiti Malaysia Teren
Collaboration
Effective
By Gianpaolo Callioni and Corey Billington
M
ORE THAN 10 YEARS AGO, HEWLETT-PACKARD REALIZED
its first successes using supply chain management to increase its competitiveness and business performance. Supply chain management moved
PROSIDING PERKEM VIII, JILID 1 (2013) 345 - 354
ISSN: 2231-962X
Managing Halal and Haram Investment in The Case of EPFs
Malaysia
Nurshuhaida Binti Abdul Razak
Pusat Pengajian Ekonomi
Fakulti Ekonomi Dan Pengurusan
Universiti Kebangsaan Malaysia
Email: nur