IE 4516
Spring 2017
MIE Department
Prof. Ergai
Assignment 2: Lean & SPC
*to be completed in Groups of 3-5*
*Due Sunday 2/5 by 11:59 PM*
1.
(1 point) Give examples of the four types of waste and the seven categories for 2 different types
of organizations.
Transportation in the Supply
Chain
8-1
Outline
The role of transportation in the supply chain
Factors affecting transportation decisions
Modes of transportation and their performance
characteristics
Transportation infrastructure and policies
Design option
IE 4516
Spring 2016
MIE Department
Prof. Ergai
Assignment 2: Management Aspects of Quality
Estefania Comella
1.
The quality philosophies of Deming, Juran, and Feigenbaum have laid the
foundation for the modern theory of quality, what did all three emphasi
Engineering Probability and
Statistics, IE 6200
By: Professor Nasser Fard
Lecture
Eight
Outline
Central Limit Theorem
Other Sampling Distributions
of mean and variance
Maximum Likelihood Estimation
Confidence Interval for
2
3
Example
Half-pint (8 oz
Engineering Probability and
Statistics, IE 6200
By: Professor Nasser Fard
Lecture Nine
Outline
Other Sampling Distributions
(t, Chi-Squared and F)
Chi-Squared Distribution
Confidence Interval for Population proportion p
Confidence Intervals for Varian
COLLEGE of ENGINEERING
Chapter 8:
Section 2
T Dist.
Chi-Square
Dist.
F Dist.
Professor:
M. Dehghani
1
2
Ch. 4- Mean of R.V.
T Distribution or
Students tDistribution
Ch 8- 2: T, Chi-Square and F
Dist.
3
INTRODUCTION
t-distribution
similar to the normal
Ch. 9-01
Name: -Professor: M.Dehghani
A point estimate is a single number
How much uncertainty is associated with a point estimate of a population parameter?
We dont expect
to estimate
exactly, but we certainly hope that is not far off.
A confidence inter
Ch. 1-01
Professor: M.Dehghani
Data and information
Data is a set of numerical or categorical information that is collected through
observation or experimentation.
Statistics
Helps to make a judgmental decision in the face of uncertainty and variation
Probability and Statistics
Chapter 9:
Section 4.a
C.I. of Proportion
Professor:
M. Dehghani
1
2
C.I for proportion(s)
Overview
How
to find a sample proportion
How
to construct a confidence interval for a
population proportion
How
to determine a minimum
COLLEGE of ENGINEERING
Chapter 8:
Section 1
Sampling Dist. of
the Mean
(
Professor:
M. Dehghani
1
WHY DO WE NEED
SAMPLING?
Sampling
2
Ch 8-1: Sampling Dist.
of the Mean
is done because:
you usually cannot gather data from the
entire population.
Even in r
Probability and Statistics
Chapter 9:
Section 7
C.I. of Variance
Professor:
M. Dehghani
1
C.I for Variance(s)
2
C.I. Of Dif. Of Proportion
If the population is normal, we can construct a confidence interval for
the population variance, , using chi-Square
COLLEGE of ENGINEERING
Chapter 9:
Section 1
Point
Estimation
Professor:
M. Dehghani
1
Statistical Inference
Methods
Ch 8- 2: T, Chi-Square and F
Dist.
2
1 Point Estimation
Point Estimate
2 Confidence Intervals
3 Test of Hypothesis
Ch 8- 2: T, Chi-Square
Probability and
Statistics
Chapter
9:
Section 2
Interval
Estimation
Introduction
By:
M. Dehghani
1
2
Interval Estimation
Introduction
Point
Estimation
a point estimate is a single number,
How much uncertainty is associated with a point
estimate of a popu
Memorandum
Date: October 13, 2016
To: Professor Freeman and Professor Ergai
From: David Berroa, Emil Braathen, Giulia Molinari, Maria Moreno, and Theodoros Sarantopoulos
Re: Lab 3 - Material Handling
To Whom It May Concern:
The enclosed report details the
Proposal for Team IE Project and Presentation
To: Professor Freeman & Ergai
From: David Berroa, Giulia Molinari, Ignacio Salas, Leticia Reyes & Maria Moreno
Date: November 7th 2016
Subject: Research Proposal
Proposed Research Question: To what extent can
Northeastern University
College of Engineering
Department of Mechanical, Industrial & Manufacturing Engineering
Title Here
Submitted by
Student Name
Student Name
Student Name
Student Name
Student Name
Date Submitted
Month Day, Year
Course Instructor
Profe
Giulia Portela Molinari
Prof. Freeman and Ergai
9 November 2016
IE 2310 Human Factors HW
Due Wednesday 11/9
Results
Table 1. Stroop Practice Block Report
Table 2. Stroop Experiment 1 Report
Table 3. Data breakdown performance by words and colors in Experi
CHAPTER 13 ENGINEERING ECONOMY
Engineering Economic Analysis
Economics is a big part of an engineer's job. The engineer must translate scientific
ideas in products and systems that better mankind. During this process, engineers
are routinely faced with th
Iakov Stolbov
IE6200 Engineering Probability and Statistics
Professor Dayana Martinez
HW#2
2-23
Let d be a distorted bit and o be a bit without distortion
a) S = cfw_dddd, dddo, ddod, dodd, oddd, ddoo, dood, oddo, oodd, dodo, odod, dooo, odoo,
oodo, oood,
Iakov Stolbov
IE6200 Engineering Probability and Statistics
Professor Dayana Martinez
HW#4
Problem 1
Discrete since it has a finite range. 10 questions, multiple-choice.
Problem 2
Binomial.
Let X be a binomial random variable that represents the number of
Iakov Stolbov
IE6200 Engineering Probability and Statistics
Professor Dayana Martinez
HW#3
Problem 2-170
Let O denote the responders for Obama.
Let C denote the responders with college degrees.
P (C|O )=
P ( O|C )P ( C )
[ P ( O|C )P ( C ) + P ( O|C )P (
GiuliaMolinari,OmarHalabi,YasminaAttieh&YoussefTayah
NortheasternUniversityIE2310
September2016
Prof.Freeman
ThomasEdison
TheLightBulbGuy
Thomas Alva Edison was an eminent American scientist and a valuable asset to the industrial
revolution.Born in1847,E
Molinari 1
Giulia Molinari
IE 2310 - Prof. Freeman and Ergai
24 September 2016
IE 2310 Introduction to IE
Homework #2
Discussion questions
4. We implied that production manufacturing engineering is a part of
industrial engineering. Defend or disagree with
Giulia Molinari
Prof. Freeman and Ergai
27 September 2016
IE2310 Introduction to IE
Homework #3
1. Assembly Line Balancing
A desk lamp is being assembled. The table below defines the precedence
relationships and element times for this assembly line.
Eleme
Topics
Loan Payment Plans
Real Estate Investments
Principal Amount & Interest Amount in Loan
Payments
Deferred Payment Loans
Chapter 3
Borrowing, Lending, and Investing
3.2 Four Loan Payment Plans
1. Pay interest each period, but make no principal
pay
Topics
Cash Flow Diagrams
Discounted Cash Flow Models
1.
2.
3.
4.
5.
Single CF
Multiple CF
Uniform Series
Arithmetic Gradient Series
Geometric Gradient Series
Cash Flow Diagrams
Cash Flow Diagram (CFD) is a figure that shows the movement
of money in and
Topics
Nominal and Effective Interest Rate
Continuous Compounding
Four Loan Payment Plans
Nominal and Effective Interest Rate
Effective or Nominal?
15% per year compounded monthly
15% per year
20% per year compounded quarterly
2% per month compound
Chapter 3
Borrowing, Lending, and Investing
Topics
Deferred Payment Loans
Retirement
Equivalence
Variable interest rates
Deferred Payment Loans
Deferred Payment Loans
Repayment of loans does not always begin one interest period after
receipt of the p