Northeastern University - Industrial Engineering Programs

Ubiquity of Industrial Engineering Principle of  Industrial Engineering

Illustration: Google's  Engineering Productivity Department - Evolution of the Department through Automation of Testing. Emergence of Software Engineering Productivity Engineer & Specialist.

https://www.northeastern.edu/

https://mie.northeastern.edu/

7. Northeastern University Boston, Massachusetts

Recent

23 Dec 2021

2021-2022

https://catalog.northeastern.edu/course-descriptions/ie/

IE 2310. Introduction to Industrial Engineering. (4 Hours)

Provides an overview of the history of industrial engineering and of the most common methods that industrial engineers use to solve problems and design efficient processes. The emphasis is on how these methods are used to study, improve, and/or optimize a product or process. Topics include work design, ergonomic design, engineering statistics, quality engineering, engineering economics, project management, and process optimization. Also discusses the design of the production processes, facilities, and material handling systems. Studies applications in manufacturing, product design, and service industries. Laboratory experiments and written reports are required.

Prerequisite(s): MATH 1340 with a minimum grade of D- or MATH 1341 with a minimum grade of D-

Corequisite(s): IE 2311

Attribute(s): NUpath Writing Intensive

IE 5137. Computational Modeling in Industrial Engineering. (4 Hours)

Builds computational models for industrial engineering applications. Offers students an opportunity to learn how to identify the problem, split it into subsystems, develop mathematical models of each sub-system, and implement in Python. Selected problems are specific to industrial engineering applications with examples of inventory systems, queuing systems, production planning and control, supply chain management, transportation, network flows, forecasting, scheduling, Monte Carlo simulation, regression analysis, sensitivity analysis, and decision support systems in data science and machine learning to test and learn from models. Students also have an opportunity to learn how to use Python libraries to implement the corresponding data structures and algorithms.

Prerequisite(s): GE 1111 with a minimum grade of D- or GE 1502 with a minimum grade of D- or graduate program admission

IE 5390. Structured Data Analytics for Industrial Engineering. (4 Hours)

Covers fundamental knowledge and skills for using structured data analytics for IE applications. Offers students an opportunity to learn data cleaning and preparation, as well as analytics of data sets, and coding in VBA (writing macros and creating GUI), both as a driver of spreadsheet formulas and as a stand-alone programming language. A final project involves the development and presentation of a structured data analytics application that addresses industrial engineering concepts.

Prerequisite(s): (IE 4515 with a minimum grade of D- or OR 6205 with a minimum grade of C- ); (IE 3412 with a minimum grade of D- or IE 6200 with a minimum grade of C- )

IE 7440. Industrial Engineering Leadership Challenge Project 1. (4 Hours)

Offers students an opportunity to develop and present a plan for the demonstration of a marketable technology product or prototype with an industrial-engineering focus. Constitutes the first half of a thesis-scale project in technology commercialization. Requires work/training with a sponsoring organization or employer to improve a process or develop a project that is of significant value to the organization and demonstrates a quantifiable market impact while enhancing the student’s technological and engineering depth and fostering the student’s leadership development.

IE 7442. Industrial Engineering Leadership Challenge Project 2. (4 Hours)

Continues IE 7440, further developing a thesis-scale project in technology commercialization. Offers students an opportunity to demonstrate their development of a marketable technology product or prototype with an industrial engineering focus and produce a written documentary report on the project to the satisfaction of an advising committee. Requires work/training with a sponsoring organization or employer to improve a process or develop a project that is of significant value to the organization and demonstrates a quantifiable market impact while enhancing the student’s technological and engineering depth and fostering the student’s leadership development.

Prerequisite(s): IE 7440 with a minimum grade of C-

https://mie.northeastern.edu/

EMANUEL MELACHRINOUDIS

Professor,  Mechanical and Industrial Engineering

Associate Chair for Operations,  Industrial Engineering

617.373.4850

e.melachrinoudis     @        northeastern.edu

Deterministic operations research and multi-criteria optimization; facility location; supply chain, transportation and logistics; wireless sensor networks wildfire prediction and mitigation

2 August 2021

https://mie.northeastern.edu/

https://mie.northeastern.edu/faculty/faculty-directory/page/2/

BSIE

http://catalog.northeastern.edu/undergraduate/engineering/mechanical-industrial/bsie/#_ga=2.45802276.1681555024.1627903091-1198670889.1627903091

Mohsen Moghaddam

Assistant Professor,  Mechanical and Industrial Engineering

https://coe.northeastern.edu/people/moghaddam-mohsen/#_ga=2.144787636.1681555024.1627903091-1198670889.1627903091

https://www.moghaddamlab.com/

https://www.moghaddamlab.com/publications

2.9.2019

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MS  Curriculum:- https://www.northeastern.edu/graduate/program/master-of-science-in-industrial-engineering-5276/#curriculum


Productivity Management:- Not in Curriculum.


Emanuel Melachrinoudis (Professor, Associate Chair and Director, Industrial Engineering)
Email:-emelas@coe.neu.edu

MS  Curriculum:- https://www.northeastern.edu/graduate/program/master-of-science-in-industrial-engineering-5276/#curriculum

Core Requirements
Master of Science in Industrial Engineering Leadership General Requirements

Productivity Management:- Not in Curriculum.

http://www.mie.neu.edu/degrees/industrial-engineering-bs

"Industrial Engineering (IE) applies mathematics to different aspects of business processes to improve efficiency and productivity. IE uses technology to manage all kinds of resources, including human beings, effectively. IE has global impact by designing and analyzing complex systems that integrate technical, economic, and social factors for all types of organizations."

Undergraduate

http://catalog.northeastern.edu/undergraduate/engineering/mechanical-industrial/bsie/#planofstudytext

Jacqueline Isaacs
Associate Dean for Faculty Affairs and Professor, Mechanical and Industrial Engineering
j.isaacs@northeastern.edu

Emanuel Melachrinoudis
Professor, Associate Chair and Director, Industrial Engineering
emelas@coe.neu.edu

Vinod Sahney
University Distinguished Professor, Mechanical and Industrial Engineering
v.sahney@northeastern.edu

Ud 7.4.2022, 2 August 2021

Pub 2.9.2019