Rutgers University
33:623:386 Operations Management
Professor Eckstein
jeckstei@rci.rutgers.edu
Lecture Notes: Chapter 6
Network Models
In this class, well look at two more standard modeling techniques for business problems (and
many other kinds as well).
December 15 8 11PM
Dynamic simulation
Excel nested IFS
Max minimum local/global
11/17/14
Ops mgmt.
nestedifs rand var yasai
=IF(F9>11, RAIN, Dry) example if nestedifs rand var yasai
=IF (P22=rain, umbrella, no umbrella)
=IF(IF(genUniform(0,20)>11, rain, d
I present you with a choice of two possibilities A & B:
A. I simply give you $30.
B. I spin a wheel of fortune. With 90% probability, I give you $600, but with 10%
probability, you give me $5000.
You should pick A based on expected monetary value.
true
Fa
Gentriangular (a, b, c) = minimum as a, mode as b, maximum as c.
Poisson Distribution Discrete probability distribution that expresses probability of a given number of
events occurring in a fixed interval of time. Ex: receive 4 mails a day, arriving of ma
Operations Management : Online Quiz 3
1. For GENTABLE(V,P), non-numeric entries in P are treated as if they are 1.
Ans: F
P263 not 1 but zero
2. A cell containing =PARAMETER(cfw_1,8,2.3,-2,2,snap) defines a parameter called snap that takes the
value 1 for
Midterm 1
Name : _ _
Problem 1
(50 points)
Read at the Chandler oil Problem. Explain fully in details step by step with all the constraints and
objective function expressions/equations for the company to maximize its revenue if the gasoline quality
requir
Groovy Juice Mixers, Inc. mixes specialty drinks out of grape, guava, and papaya
juices. Currently it has 1000, 400, and 300 gallons of each of these kinds of juices
in inventory, respectively. Groovy currently has two products, Tropical Breeze and
Guava
OM 386.
Midterm 1 issues and concerns . Will be accepted on November 17th - not before
Name: _Paul Kim_
In the specified box in 25 or less words explain the problem. Mention Question #.
Irrelevant and unnecessary grade grubbing attempts can affect your sc
12/1
Ops Management
Format of exam:
Q1: Multiple choice, T/F (20 questions for 20 points)
Q2, 3, 4, 5 Problem Part A and Problem Part B (80 points)
Problem Part A is verbatim for in class example, Problem Part B will be based on Part A
-Need calculator, c
11/10/14
Ops Mgmt
Expected value for a dice roll:
You land on 1,2,3,4,5,6 with a 1/6 chance:
so expected value is: 1/6 (1+2+3+4+5+6) = 21/6 = 3.5
-the lower the standard deviation, the better. Shows lowest is closer to median
Scenario 1: safe, no risk, fo
Ops Mgmt
9/8/2014 Class 1
Example 1:
Apple = $1 each
Orange = $2 each
A = # of apples
R = # of oranges
1A + 2R 10
Example 2:
A 0
B0
A=100
B=200
A+B10(0,10)(10,0)maximumpotentialover(4,0)
2A+B8(0,8)(4,0)
100A+200B=Revenue
Infeasible Solutions when constrai
Rutgers University
33:623:386 Operations Management
Professor Eckstein
jeckstei@rci.rutgers.edu
Lecture Notes: Chapter 7
Blending Constraints
In this class, we will consider constraints on the proportions between various quantities in a
linear programming
Rutgers Business School
33:136:386:1-10 Operations Management
Fall 2015
Policies and Study Guide for Midterm 2
General information
The exam is on the 18th of November.
The exam will have the duration of 60 minutes provided we to start the exam at 3:35 PM.
Graphical solution
33:136:386 Operations Management
Marta Cavaleiro
Outline
Graphical solution of LPs (Taylors Chapter 2)
Enumeration approach and Isoprofit/Isocost lines approach
The bags problem LP model
x1 = the number of regular bags made in the pro
Process Models I
33:136:386 Operations Management
Marta Cavaleiro
Outline
Process Models (not covered in Taylors book)
Bike Wheels Problem
Modeling
Computer Solution
Product Mix problems
Resourc
es
Product mix problems are
about transforming resources
i
Process Models II
33:136:386 Operations Management
Marta Cavaleiro
Outline
Process Models (not covered in Taylors book)
Perfumes Problem
Modeling
Computer Solution
The Perfumes
Problem
Rylon Corporation manufactures
Brute and Chanelle perfumes.
Raw mate
Question 2 - solution
a.
Plot constraints in the graph (10 points)
Finding two points for each constraint:
Constraint 1:
Set X1 = 0 X2 = 6
1st point is (0, 6)
Set X2 = 0 X1 = 7.5
2nd point is (7.5, 0)
Constraint 2:
Set X1 = 0 X2 = 7.5
1st point is (0, 7.5
b. Model (15 points)
x1 = number of times we process 100 liters of chemical A into 40 liters of C and 60 liters of B
x2 = number of times we process 100 liters of chemical C into 60 liters of D and 40 liters of B
or
x1 = amount of chemical A (in 100s of l
a. LP Model part (17 points)
x1 = the number of Nacholupa units to cook for the event
x2 = the number of Quesatilla units to cook for the event
x3 = the number of Enchinacho units to cook for the event
x4 = the number of Burritaco units to cook for the ev
Q1: Solution (note that text to the right side of constraint is not part of the standard
solution). Decision Variables: Xij = Number of Pounds of Raw Material i (i=1,2) that is mixed into Fertilizer j (j=1,2,3), Y = Amount ($) spent on Advertising. Helper