Spring 2023 Industrial Engineering and Operations Research E4418 section 001

TRANSPORTATION ANALYTICS & LOGISTICS

TRANSPORTATION ANALYTICS

Call Number 11298
Day & Time
Location
MW 11:40am-12:55pm
313 Fayerweather
Points 3
Grading Mode Standard
Approvals Required None
Instructor Adam N Elmachtoub
Type LECTURE
Method of Instruction In-Person
Course Description

Transportation, primarily focused on the movement of people, and logistics, primarily focused on the movement of goods, are two of the most fundamental challenges to modern society. To address many problems in these areas, a wide array of mathematical models and analytics tools have been developed. This class will introduce many of the foundational tools used in transportation and logistics problems, relying on ideas from linear optimization, integer optimization, stochastic processes, statistics, and simulation. We will address problems such as optimizing the routes of cars and delivery trucks, positioning emergency vehicles, and controlling traffic behavior. Moreover, we will discuss modern issues such as bicycle sharing, on-demand car and delivery services, humanitarian logistics, and autonomous vehicles. Concepts will be reinforced with technical content as well as real-world data and examples.

Web Site Vergil
Department Industrial Engineering and Operations Research
Enrollment 21 students (75 max) as of 3:08PM Thursday, April 25, 2024
Subject Industrial Engineering and Operations Research
Number E4418
Section 001
Division School of Engineering and Applied Science: Graduate
Campus Morningside
Section key 20231IEOR4418E001