2015-03-16
OMIS 2010
Lecture 9
Waiting Lines/Queuing Theory
Ch.13 (13.0-13.6, 13.9-13.12)
OMIT: 13.7 & 13.8
Introduction to Queuing Theory
It is estimated that Americans spend a total of 37
billion hours a year waiting in lines.
Places we wait in line.

1. In a network diagram, an activity:
a. is the largest unit of work effort consuming both time and resources that a project manager can
schedule and control.
b. is the smallest unit of work effort consuming both time and resources that a project manager

OMIS 2010 SAMPLE Quiz #1
1. A production optimization problem has 4 decision variables and a requirement that at least b 1 units of material b1
are consumed. Which of the following constraints reflects this fact?
a. f(X1, X2, X3, X4) b1
b. f(X1, X2, X3, X

OMIS 2010
Lecture 11
Statistical Process Control
Quality
Meeting, or exceeding, customer
requirements now and in the
future.
i.e. the product or service is fit for the
customers use
Key Dimensions of Quality
Performance
Features
Reliability
Conforman

CHAPTER(12:(
INVENTORY(MANAGEMENT(
Teaching(Notes(
This is a fairly long quantitative chapter, and hence not all the topics can be covered in even two sessions.
The models are for independent demand items such as finished goods, spare parts and supplies (

OMIS 2010 SECTIONS R & S - Midterm Test Solutions
April 9th, 2009
Murat Kristal & Linda Lakats
QUESTION 1 (20 points):
You have a large garden in which you grow cabbage, tomatoes and onions to make 2
kinds of relish chow-chow and sweet tomato. A jar of ch

EXAMPLE 1:
Winco sells 4 types of products. The resources needed to produce one unit of each and
the sales prices are given below:
Table 1: Cost & Resource Requirements for Winco:
Product 1
Product 2
Raw material
2
3
Hours of labor
3
4
Sales price
$4
$6
P

Dakota Furniture Example
The Dakota Furniture Company manufactures desks, tables,
and chairs. The manufacture of each type of furniture requires
lumber and two types of skilled labor: finishing & carpentry.
The amount of each resource needed to make each

OMIS 2010 Lecture 3
Common Business Applications
& Excel Solver
Common Business Applications
Linear Programming (LP) Can Be
Used for Many Managerial Decisions:
Product mix
Media selection
Marketing research
Portfolio selection
Shipping & transportation
Mu

SENSITIVITY SUMMARY (using Excel)
1) DEGENERACY
a. Always check before interpreting sensitivity report.
b. Any allowable increase/decrease of 0 (for the constraints RHS side) in
constraints section indicates degeneracy.
c. If problem is degenerate, sensit

2015-01-15
OMIS 2010 Lecture 2
Modeling with Excel & Sensitivity Analysis
Introduction
Solving LP problems graphically is only
possible when there are two decision
variables.
Few real-world LP have only two decision
variables.
Fortunately, we can now u

IN THE CLASSROOM
s RICK HESSE, Feature Editor, Graziadia Graduate School of Business, Pepperdine University
Triangle Distribution: Mathematica
Link for Excel
Rick Hesse, Feature Editor
I
Rick Hesse
is professor of quantitative
methods at Pepperdine Univer

OMIS 2010 - Assignment Cover Page
Winter 2015
Schulich School of Business
Assignment #:
Group member 1
2
Group member 2
Last Name:
First Name:
Student #:
Section:
Question 1:
Page 1 of 8
a)
Activity Name
A
B
C
D
E
F
G
H
I
J
Optimistic (a)
2
2
1
2
1
2
1
4

2015-03-16
An Example Car Repairs
Bob Frazer Auto operates a small 2 bay garage providing
basic car repairs. They are currently operating with only
one mechanic working in a single bay. Because customer
service is critical to repeat business, Bob would li

Chapter 04 Product and Service Design
1. Product or service design is a major factor in customer satisfaction, product or service quality, production
costs, and competitive advantage.
True False
2. Core teams are a team of operations personnel that are em

Reduced Cost
Associated with each variable is a reduced cost value. However, the reduced cost value is only
non-zero when the optimal value of a variable is zero. A somewhat intuitive way to think about
the reduced cost variable is to think of it as indic

OMIS 2010 Lecture 1
Linear Programming (LP)
Graphical Method
Lecture 1
Introduction to Linear Programming
1
The Decision Process
Today many of the resources needed as
inputs are in limited supply.
Managers must understand the impact of
this situation on

OMIS 2010 SECTION T - Midterm Test Solutions
Linda Lakats
April 17th, 2009
QUESTION 1 (20 points):
Shirtstop makes T-shirts with logos and sells them in its chain of retail sores. It contracts
with two different plants one in Puerto Rico and one in the Ba

OMIS 2010 - Practice questions from past exams
QUESTION 1
Shirtstop makes T-shirts with logos and sells them in its chain of retail stores. It contracts with
two different plants one in Puerto Rico and one in the Bahamas. The shirts from the plant in
Puer

OMIS 2010 - Winter 2015
Assignment 1 Instructions
Due Week 5 (Feb 2 - Feb 6) Beginning of Lecture
Assignment Instructions (please read carefully)
1. Assignments are to be typed on the computer (graphs can be generated manually)
2. You must use the cover p

29/01/2015
OMIS 2010 Lecture 4
Integer Linear Programming
Integer Programming
Linear programming allows us to solve large
scale problems. It gives answers in terms of
continuous variables
However, there are many situations where we
need solutions to pro

OMIS 2010 - Assignment Cover Page
Winter 2015
Schulich School of Business
Assignment #:
1
Section:
Date Submitted: February 5th, 2015
Group member 1
Group member 2
Last Name:
First Name:
Student #:
Group can be between 2 to 3 members only.
1 of 14
Questio

Forecasting Open Question
A customer comment phone line is staffed from 8:00 a.m. to 4:30 p.m. five
days a week. Records are available that show the number of calls received
every day for the last five weeks.
Wee
k
1
Day
M
T
W
TH
F
M
T
W
TH
F
M
T
W
TH
F
2

OMIS 2010 Formulas Midterm Exam
Stationary Data With
Additive Seasonal Effects
Forecasting:
Mean absolute deviation
n
MAD =
Yt + n = E t + St + n p
Yi Yi
n
i =1
E t = (Yt - St-p ) + (1 - )E t 1
St = (Yt - E t ) + (1 - )St p
Mean absolute percent error
MAP

SPC Class Activity 1
A pizza restaurant monitors the size (measured by the diameter) of the 10-inch pizzas that it prepares. Pizza
crusts are made from doughs that are prepared and pre-packaged in boxes of 15 by a supplier. Doughs are
thawed and pressed i

3/29/2015
OMIS 2010
Lecture 11
Statistical Process Control
Quality
Meeting, or exceeding, customer
requirements now and in the
future.
Key Dimensions of Quality
Performance
Features
Reliability
Conformance
Durability
Serviceability
Aesthetics
Perceived q

OMIS 2010
Introduction to Simulation
Using Risk Solver Platform
Lecture 7 - Chapter 12
Introduction to Simulation
In many spreadsheets, the value for one or
more cells representing independent
variables is unknown or uncertain.
As a result, there is uncer

OMIS 2010 Assignment 1
Assignment Instructions (please read carefully)
1. Submit your assignment to the link posted on Moodle.
2. Make sure to upload it to the correct link by section.
3. Work can be done by pairs. If you choose to work in a pair, only on

Calvin Le
213578604
OMIS 2010 Assignment B1
A.
Calvin Le
213578604
B. (ON EXCEL)
The critical path is A, C, D, H, L, O, and Q.
C. The estimate of the completion time for this project is 118.67 days.
(A) 15.00 + (C) 24.17 + (D) 19.50 + (H) 25.00 + (L) 7.17

Microsoft Excel 16.0 Answer Report
Worksheet: [A1 - Q1.xlsx]Sheet1
Report Created: 2017-01-20 8:16:58 PM
Result: Solver found a solution. All Constraints and optimality conditions are satisfied.
Solver Engine
Solver Options
Objective Cell (Min)
Cell
Name

OMIS 2010 - Winter 2016
Assignment B4
Sectio
n
R
S
V
W
Assignment Due dates
Thursdays, 2:30pm-5:30pm
Thursdays, 2:30pm-5:30pm
Wednesdays, 2:30m-5:30pm
Tuesdays, 8:30am-11:30am
March 31
March 31
March 30
March 29
Assignment Instructions (please read carefu