Sunday, November 30, 2025

Industrial Engineering Youngstown State University





Dr. Bharat Yelamanchi
Assistant Professor and Program Coordiantor
Industrial and Systems Engineering
Moser Hall 2420
330-941-3466
byelamanchi@ysu.edu

Dr. Lee, Seokgi
Assistant Professor and Graduate Program Director in Industrial and Systems Engineering
Industrial Engineering
Moser Hall 2465
slee10@ysu.edu





Fall 2024 FULL TERM

BEGIN: AUGUST 26

END: DECEMBER 14

https://ysu.edu/registrars-office/calendars




Industrial Engineering Youngstown State University

Department of Mechanical, Industrial and Manufacturing Engineering
https://catalog.ysu.edu/undergraduate/colleges-programs/college-science-technology-engineering-mathematics/department-mechanical-industrial/

Chair

Hazel Marie, Ph.D., Professor, Chair


Professor

S. Cory Brozina, Ph.D., Assistant Professor

Martin Cala, Ph.D., Professor

Kyosung Choo, Ph.D., Assistant Professor

Brett P. Conner, Ph.D., Associate Professor

Gregory Dillon, Ph.D., Professor

Kevin Disotell, Ph.D., Assistant Professor

Hojjat Mehri, Ph.D., Professor

Stefan Moldovan, Ph.D., Assistant Professor

Nazanin Naderi, Ph.D., Assistant Professor

Jae Joong Ryu, Ph.D., Assistant Professor

Elvin B. Shields, Ph.D., Professor

Virgil C. Solomon, Ph.D., Associate Professor

Jason Walker, Ph.D., Assistant Professor

Darrell R. Wallace, Ph.D., Associate Professor


Lecturer

Anthony Viviano, M.S., Lecturer
https://catalog.ysu.edu/undergraduate/colleges-programs/college-science-technology-engineering-mathematics/department-mechanical-industrial/#facultytext

Program Student Outcomes
3-3  Understand that the technology is constantly changing and industrial engineers must upgrade their knowledge in conjunction with the technological changes.

The ISE Project Laboratory is focused on team-based activities throughout the curriculum and particularly serves the methods engineering, human factors engineering and facilities design areas.

https://catalog.ysu.edu/undergraduate/colleges-programs/college-science-technology-engineering-mathematics/department-mechanical-industrial/industrial-systems-engineering-program/


INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 


Industrial and Systems Engineering Graduate Program

Industrial and Systems Engineering
OVERVIEW
DEGREE REQUIREMENTS
COURSES
ADMISSION REQUIREMENTS
Option Coordinator

Hojjat Mehri
2500 Moser Hall
(330) 941- 3023
hmehri@ysu.edu

ISEN 5801    Operations Research 1    3 s.h.

Formulation and solution of engineering problems using linear programming. Model formulation, the primal, dual, and transportation simplex methods, duality theory, and sensitivity analysis.
Prereq.: MATH 2673.

ISEN 5811L    Manufacturing Practices I Laboratory    1 s.h.

Experimental analysis of manufacturing processes. Process control and data acquisition. Experimental design applied to processes including polymer processes, casting, machining, and joining. Three hours laboratory.
Prereq. or concurrent ISEN 3723.

ISEN 5812L    Manufacturing Practices 2 Laboratory    1 s.h.

Experimental analysis of advanced manufacturing techniques. Advanced sensing and controlling technologies. Real-time monitoring, metrology, and data acquisition. Numerically controlled (NC) machines and programming. Net-shape and additive manufacturing.
Prereq. or concurrent ISEN 5823.

ISEN 5820    Advanced Quality for Engineers    3 s.h.

Applications and practices of quality control in industry. Engineering and administrative aspects of quality control programs, process control, and acceptance sampling. Application of quantitative methods to the design and evaluation of engineered products, processes, and systems.
Prereq.: ISEN 3720.

ISEN 5823    Automation    3 s.h.

Principles and applications of sensing, actuation and control. Emphasis on hydraulic and pneumatic systems. Industrial process controllers, sensors and machine vision. Design and cost considerations for industrial automation applications.
Prereq.: MECH 2641, ECEN 2614 or consent of instructor.

ISEN 5825    Advanced Engineering Economy    3 s.h.

An extension of the topics in engineering economy. Analysis of rationale and norm of decision making, risk and uncertainty models, utility theory, measurement of productivity, and advanced project comparison methods.
Prereq.: ISEN 3724.

ISEN 5830    Human Factors Engineering    3 s.h.

Various aspects of human factors in the design of human-machine systems and environments. Study of human sensory, perceptual, mental, psychomotor, and other characteristics; techniques of measuring human capabilities, limitations, safety, comfort, and productivity.
Prereq.: MATH 2673.

ISEN 5850    Operations Research 2    3 s.h.

Formulation and solution of industrial engineering problems using operational research models. Topics include queuing models and the specialization of linear models to equipment replacement, project planning, assignment, and transshipment problems.
Prereq.: ISEN 5801.

ISEN 5880    Management of Technology    3 s.h.

The course discusses major topics in management of technology and innovations. Dynamics of technology innovation, sources of technology innovations, corporate technology strategy, collaboration and intellectual property, structures and process for innovations, idea generation, commercialization of technology and innovations, and market entry.
Prereq.: Senior standing or consent of instructor.

ISEN 5881    Competitive Manufacturing Management    3 s.h.

Basic principles of manufacturing competitiveness. The role of engineers in promoting competitiveness. Discussion of new technologies used in modern manufacturing management including, continuous improvement, waste elimination, JIT, lean production systems, setup time reduction, equipment maintenance/improvement, total quality management, and supply chain management.
Prereq.: ISEN 3723 or consent of instructor.

ISEN 6901    Optimization Techniques    3 s.h.

A study of the theory of optimization and its application to problems from several engineering disciplines. The principles will be applied to constrained and unconstrained engineering problems. Algorithms will be developed for solving optimization problems, which can be formulated as linear, nonlinear, integer, or dynamic programming models.

ISEN 6902    Digital Simulation    3 s.h.

A study of simulation methods using digital computers, random number generation, Monte Carlo techniques, queuing models, and analysis of simulation output. The student will be provided the opportunity to simulate moderately complex systems on digital computers. Primary emphasis will be on models of technical, scientific, and economic systems.

ISEN 6905    Applied Statistics for Design, Quality, and Productivity    3 s.h.

Review of probability and statistics, uncertainty and decision making, statistical inference, and analyzing sources of variation. Risk and reliability, risk assessment, robust and quality design, regression analysis, and analysis of variance. Design of experiments, single-factor and multifactor experiments, design of experiments for product characteristics, process characteristics, and process optimization. General statistical process control, special charts and sampling techniques for control, monitoring, and auditing quality. Economic issues in process/quality control.
Prereq.: ISEN 3710 Engineering Statistics or equivalent.

ISEN 6906    Supply Chain Engineering    3 s.h.

In an expanding global economy, efficient and responsive supply chains are critical to business success. This course explores key aspects of supply chain engineering with an emphasis on mathematical approaches to supply chain analysis. Topics include demand forecasting, inventory modeling and control, facility location, capacity planning, transportation, warehousing, scheduling, material requirements planning and procurement.
Prereq.: ISEN 3710/ISEN 6921 and consent of instructor.

ISEN 6908    Logistics Engineering and Mgt    3 s.h.

Study of logistics from a systems engineering perspective. Covers design of systems for supportability and serviceability, the production and effective distribution of systems for customer use, and the sustaining maintenance and support of systems throughout their period of utilization.
Prereq.: ISEN 3720, ISEN 5801 or consent of the instructor.

ISEN 6910    Design and Analysis Experiment    3 s.h.

For professionals from business and industry, and students. Specific topics will be announced each time the workshop is offered. Credit hours based on frequency and duration of workshop meetings.

ISEN 6920    Project Management    3 s.h.

Methods for planning, organizing, scheduling, supporting, and controlling projects. Network techniques, including CPM, PERT, and time-cost trade-off analysis. Techniques for the estimation of time, manpower, and other resource requirements of the projects, including economic and statistical analysis, forecasting, learning curves, and line balancing. Management of time and other resources involved. Case studies and utilization of computer resources for the analysis and presentation of projects.
Prereq.: graduate standing in STEM college.

ISEN 6921    Engineering Statistics    3 s.h.

Development and application of stochastic models of engineering systems. Elementary probability models applied to decision making under uncertainty. Development and use of theoretical probability distributions for describing stochastic systems. Models for point and confidence interval estimation and models for correlation analysis applied to engineering problems.
Prereq.: ISEN 3710 or equivalent.

ISEN 6930    Microcomputer Models for Deterministic Engineering Systems    3 s.h.

Microcomputer model development, implementation, evaluation, and application for deterministic engineering systems. Recognition of engineering systems amenable to analysis as deterministic microcomputer models. Determination of model structure, identification of model parameters, verification of model validity, exercising the model, and interpretation of results.

ISEN 6935    Decision Analysis for Engineering    3 s.h.

Review of probability and statistics, subjective probability, probability models, using data, Monte Carlo simulation, and value of information. Introduction to decision analysis, elements of decision problems, structuring decisions, making choices, creativity, and decision making. Risk attitudes, utility axioms, paradoxes, and conflicting objectives.
Prereq.: ISEN 3710 Engineering Statistics or equivalent, or permission of instructor.

ISEN 6970    Advanced Manufacturing Processes 1    3 s.h.

Advanced manufacturing processes for metallic materials. Included are continuous casting, powder techniques, fluidized bed reactors, and directional solidification.

ISEN 6971    Advanced Manufacturing Processes 2    3 s.h.

Advanced manufacturing processes for nonmetallic materials. Included are sintering, slip casting, plastic forming techniques, and extrusion of nonplastic materials.

ISEN 6990    Special Topics    3 s.h.

Special topics in industrial/manufacturing systems engineering covering areas not otherwise available. Topics are selected by the faculty from fields of current research interest or special emphasis and may vary from semester to semester. May be repeated for a maximum of six semester hours.

ISEN 6992    Graduate Projects    3 s.h.

Analysis, design, research, or other independent investigation on projects selected with the advice and approval of the student's graduate committee.
Prereq.: Permission of instructor.

ISEN 6999    Thesis    1-6 s.h.

Hours arranged. May be repeated.

https://catalog.ysu.edu/graduate/graduate-programs/master-science-engineering/industrialandsystems/#coursestext



Ud. 29.6.2024
Pub. 18.8.2019

Mississippi State University - Industrial Engineering Programs

Fall 2024

August 1 Deadline for payment in full or enrollment in payment plan. Class schedules subject to cancelation if full payment not made or not enrolled in payment plan.
Add to calendar for Deadline for payment in full or enrollment in payment plan. Class schedules subject to cancelation if full payment not made or not enrolled in payment plan.


August 19 New freshmen and transfer student orientation
Add to calendar for New freshmen and transfer student orientation


August 21 Classes begin

https://www.registrar.msstate.edu/calendars/academic-calendar/c/?year[value][year]=2024&semester=fall





Mohammad Marufuzzaman
Department Head and Larry Brown Endowed Professor
260L McCain Hall
P 662.325.7624
maruf@ise.msstate.edu

Junfeng Ma
Associate Professor and Graduate Coordinator
260P McCain Hall
P 662.325.3865
ma@ise.msstate.edu

Haifeng Wang
Associate Professor and Co-Graduate Coordinator
260P McCain Hall
P 662.325.3923
wang@ise.msstate.edu


Brian Smith
Associate Professor, Undergraduate Coordinator
260G McCain Hall
P 662.325.7950
smith@ise.msstate.edu


Jenna Johnson
Assistant Teaching Professor and Co-Undergraduate Coordinator
Engineering on the Coast
P 228.497.7669
johnson@ise.msstate.edu



-------------------
Faculty
Kari Babski-Reeves
Kari Babski-Reeves
Professor, Interim Head and Associate Dean for Research & Graduate Studies
250G McCain Hall
P 662.325.8430


Linkan Bian
Linkan Bian
Associate Professor and Graduate Coordinator (now not a coordinator)
260H McCain Hall
P 662.325.0570


Stanley F. Bullington
Stanley F. Bullington
Professor
260N McCain Hall
P 662.325.7621


Reuben Burch
Reuben Burch
Assistant Professor
260I McCain Hall
P 662.325.1677


Michael Hamilton
Michael Hamilton
Assistant Research Professor, Inst. for Systems Eng. Research
P 601.634.8203


Raed Jaradat
Raed Jaradat
Assistant Professor
260M McCain Hall
P 662.325.7623


Junfeng Ma
Junfeng Ma
Assistant Professor
260P McCain Hall
P 662.325.3865


Mohammad Marufuzzaman
Mohammad Marufuzzaman
Assistant Professor
260L McCain Hall
P 662.325.7216


Omid Shahvari
Assistant Visiting Professor
260R McCain Hall
P 662.325.0068



Brian Smith
Assistant Professor
260G McCain Hall
P 662.325.7950
https://www.ise.msstate.edu/people/faculty/brian-smith/


Lesley Strawderman
Lesley Strawderman
International Paper Chair, Professor, and Undergraduate Coordinator (now not a coordinator)
260D McCain Hall
P 662.325.7214


Wenmeng (Meg) Tian
Wenmeng (Meg) Tian
Assistant Professor
260Q McCain Hall
P 662.325.9220


Clayton Walden
Clayton Walden
Executive Director of CAVS, Associate Professor
P 662.325.5431

https://www.ise.msstate.edu/people/faculty/


INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 


Graduate Courses

Master of Science in Industrial Engineering with Industrial Systems Concentration (SYS) - Thesis
Prerequisites (foundational courses) are:

MA 1713
MA 1723
MA 2733
MA 2743
Computer programming proficiency
IE 3123
IE 3913
IE 4333
IE 4613/6613
IE 6773 Systems Simulation I 3
IE 8000 Thesis Research/ Thesis in Industrial Engineering 6
All other courses to be selected by the student along with the academic advisor and graduate program committee 21
Total Hours 30
A thesis and an oral comprehensive examination in defense of the thesis are required.


The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.   IE 9000 does not apply to M.S. students.

Master of Science in Industrial Engineering with Industrial Systems Concentration (SYS) - Non-Thesis
Prerequisites (foundational courses) are:

MA 1713
MA 1723
MA 2733
MA 2743
Computer programming proficiency
IE 3123
IE 3913
IE 4333
IE 4613/6613
At least 15 hours of 8000-level courses selected by the student along with the academic advisor and grade program committee. 15
Other courses to be selected by the student along with the academic advisor and grade program committee. 15
Total Hours 30
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to  non-thesis students.


The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree.  IE 9000 does not apply to M.S. students.

Master of Science in Industrial Engineering with Management Systems Engineering Concentration (MGTS) - Thesis
Prerequisites (foundational courses) are:

B.S. in engineering from an ABET-accredited program or permission from the MSE Technical Committee
IE 3913
IE 4613/6613
IE 6513 Engineering Administration 3
IE 6533 Project Management 3
IE 6573 Process Improvement Engineering 3
IE 8583 Enterprise Systems Engineering 3
IE 8913 Engineering Economy II 3
IE 8000 Thesis Research/ Thesis in Industrial Engineering 6
At least two non-MSE ISE courses 6
Course to be selected by the student along with academic advisor and graduate program committee 3
Total Hours 30
A thesis and an oral comprehensive examination in defense of the thesis are required.


The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.  IE 9000 does not apply to M.S. students.

Master of Science in Industrial Engineering with Management Systems Engineering Concentration (MGTS) - Non-Thesis
Prerequisites (foundational courses) are:

B.S. in engineering from an ABET-accedited program or permission from the MSE Technical Committee
IE 3913
IE 4613/6613
IE 6513 Engineering Administration 3
IE 6533 Project Management 3
IE 6573 Process Improvement Engineering 3
IE 8583 Enterprise Systems Engineering 3
IE 8913 Engineering Economy II 3
At least two non-MSE ISE courses 6
Other courses to be selected by the student along with the academic advisor and graduate program committee 9
Total Hours 30
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above.  The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students.


The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree.  IE 9000 does not apply to M.S. students.

Master of Science in Industrial Engineering with Manufacturing Systems Concentration (MFGS) - Thesis
Prerequisites (foundational courses) are:

B.S. in engineering from an ABET-accredited program or permission from the Manufacturing Systems Technical Committee
Computer programming proficiency
IE 4333/6333
IE 4613/6613
IE 6653 Industrial Quality Control 3
IE 8333 Production Control Systems II 3
IE 8353 Manufacturing Systems Modeling 3
IE 8000 Thesis Research/ Thesis in Industrial Engineering 6
At least two Manufacturing Systems ISE courses 6
At least two non-Manufacturing Systems ISE courses 6
Course to be selected by the student along with the academic advisor and graduate program committee 3
Total Hours 30
A thesis and an oral comprehensive examination in defense of the thesis are required.

Additional requirements are:


The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.   IE 9000 does not apply to M.S. students.



Master of Science in Industrial Engineering with Manufacturing Systems Concentration (MFGS) - Non-Thesis
Prerequisites (foundational courses) are:

B.S. in engineering from an ABET-accredited program or permission from the Manufacturing Systems Technical Committee
Computer programming proficiency
IE 4333/6333
IE 4613/6613
IE 6653 Industrial Quality Control 3
IE 8333 Production Control Systems II 3
IE 8353 Manufacturing Systems Modeling 3
At least two Manufacturing Systems ISE courses 6
At least two non-Manufacturing Systems ISE courses 6
Other courses to be selected by the student along with the academic advisor and graduate program committee 9
Total Hours 30
A written and oral comprehensive final exam on the coursework.  At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above.  The specific courses required depend upon the student’s area of concentration.  IE 8000 Research/Thesis does not apply to non-thesis students.   IE 9000 does not apply to M.S. students.

Additional requirements are:

No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
No program can contain more than 9 hours of courses that are required in the bachelor’s degree curriculum
No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree. IE 9000 does not apply to M.S. students.

Master of Science in Industrial Engineering with Operations Research Concentration (OPRS) - Thesis
Prerequisites (foundational courses) are:

MA 1713
MA 1723
MA 2733
MA 2743
Computer programming proficiency
IE 4613/6613
IE 6733 Linear Programming 3
IE 6773 Systems Simulation I 3
IE 8000 Thesis Research/ Thesis in Industrial Engineering 6
At least two OR ISE ccourses 6
At least two non-OR ISE courses 6
At least one course from Computer Science (CSE), Mathematics (MA), or Statistics (ST) 3
Course to be selected by the student along with the academic advisor and graduate program committee 3
Total Hours 30
A thesis and an oral comprehensive examination in defense of the thesis are required.

Additional requirements are:

A minimum of 12 hours coursework must be at the 8000-level or higher.
No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
No program can contain more than 9 hours of courses that are required in the bachelor’s degree curriculum
No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.  IE 9000 does not apply to M.S. students.

Master of Science in Industrial Engineering with Operations Research Concentration (OPRS) - Non-Thesis
Prerequisites (foundational courses) are:

MA 1713
MA 1723
MA 2733
MA 2743
Computer programming proficiency
IE 4613/6613
IE 6733 Linear Programming 3
IE 6773 Systems Simulation I 3
At least two Operations Research ISE courses 6
At least two non-Operations Research ISE courses 6
At least one course com Computer Science (CSE), Mathematics (MA), or Statistics (ST) 3
Courses to be selected by the student along with the academic advisor and graduate program committee 9
Total Hours 30
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above.  The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students. IE 9000 does not apply to M.S. students.

http://catalog.msstate.edu/graduate/colleges-degree-programs/engineering/industrial-systems/#programsofstudytext

West Virginia University - Industrial Engineering Programs



55.West Virginia University

 Morgantown, WV 26506-6203

Fall 2024

August 19  - General Registration
August 21 - On-Campus First Day of Classes
https://provost.wvu.edu/academic-calendar/2024-2025-calendar


https://imse.statler.wvu.edu/


2025


Ashish Nimbarte
Director of Online Programs - Benjamin M. Statler College of Engineering and Mineral Resources

Chairperson, Professor, and Graduate Program Coordinator - Department of Industrial and Management Systems Engineering

 ashish.nimbarte@mail.wvu.edu

 304-293-9473

 ESB 325


Jack Byrd Jr.
Professor Emeritus, Mentor - Department of Industrial and Management Systems Engineering

 jack.byrd@mail.wvu.edu

  OFF-CAMPUS




CHAIRPERSON AND PROFESSOR - INDUSTRIAL AND MANAGEMENT SYSTEMS ENGINEERING


Kenneth R Currie - Ph.D., P.E., (West Virginia University)
Manufacturing systems design, Optimization, Automation & Controls, Healthcare Systems Engineering
304.293.9431
CHAIRPERSON AND PROFESSOR - INDUSTRIAL AND MANAGEMENT SYSTEMS ENGINEERING
krcurrie  @mail.wvu.edu  (Not in 2025 faculty list)

Dr. Ashish Nimbarte
Graduate Program Coordinator
ashish.nimbarte  @mail.wvu.edu
304.293.9473

Programs offered under Industrial and Systems Engineering

BS: http://catalog.wvu.edu/undergraduate/collegeofengineeringandmineralresources/departmentofindustrialandmanagement/ 

INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 


MS -
Curriculum:
http://catalog.wvu.edu/graduate/collegeofengineeringandmineralresources/departmentofindustrialandmanagementsystemsengineering/industrialengineering/#masterstext 
Course details:
http://catalog.wvu.edu/graduate/collegeofengineeringandmineralresources/departmentofindustrialandmanagementsystemsengineering/industrialengineering/#courseinventory

Productivity Management –No course


http://catalog.wvu.edu/undergraduate/collegeofengineeringandmineralresources/departmentofindustrialandmanagement/

Nature of Program
Industrial engineering is the discipline of engineering concerned with the design, improvement, and installation of integrated systems of people, material, information, equipment, and energy to assure performance, reliability, maintainability, schedule adherence, and cost control.

Industrial engineers look at the “big picture” of an operation or system and bridge the gap between management and operations.


Operations Research and Industrial Engineering at UT Austin - The University of Texas at Austin

 New.

Popular E-Book on IE,

Introduction to Modern Industrial Engineering.  #FREE #Download.

In 0.1% on Academia.edu. 11,485+ Downloads so far.

https://academia.edu/103626052/INTRODUCTION_TO_MODERN_INDUSTRIAL_ENGINEERING_Version_3_0


https://www.orie.utexas.edu/people/leadership



J. Eric Bickel

Eric Bickel is a professor and director of the Operations Research and Industrial Engineering graduate program in the Cockrell School of Engineering at The University of Texas at Austin. He holds a joint appointment in the Cockrell School's Department of Petroleum and Geosystems Engineering and is academic director of the McCombs School of Business Strategic Decision and Risk Management certificate program.

ebickel@mail.utexas.edu

512-232-8316

ETC 5.128C


https://www.orie.utexas.edu/people/faculty-directory


Raghu Bollapragada

Assistant Professor

Ph.D. Northwestern University

Research Interests: Nonlinear Optimization, Stochastic Optimization, Derivative-Free Optimization, Distributed Optimization, Optimization for Machine Learning

raghu.bollapragada@utexas.edu

ETC 5.118


Benjamin Leibowicz

Associate Professor

Banks McLaurin Fellowship in Engineering 

Ph.D. Stanford University

Research Interests: Systems analysis; applied optimization; economics; energy and environment; policy analysis; technological change

bleibowicz@utexas.edu

512-475-9550

ETC 5.128D


Yashaswini Murthy

Assistant Professor - Joining Fall 2026 

Ph.D. University of Illinois Urbana-Champaign

Research Interests: Developing and analyzing reinforcement learning algorithms for long-term decision-making under uncertainty, with an emphasis on average-reward and robust formulations

ymurthy@caltech.edu



Ud. 4.7.2024

Pub. 9.9.2023

Industrial Engineering - Morgan State University



2025

Dr. Tridip Bardhan
Department Chair and Professor
Office: Schaefer Engineering Building (SEB), Rooms 321 & 316
Phone: 443-885-4226
tridip.bardhan@morgan.edu



Dr. Guangming Chen
Professor and Graduate Program Coordinator
Office: Schaefer Engineering Building (SEB), Rooms 320
Phone: 443-885-4243
guangming.chen@morgan.edu


Fall 2024 classes start on 19 August

Morgan State University 

1700 East Cold Spring Lane
Baltimore, Maryland 21251
443-885-3333

Our students study and research the most effective and efficient ways of making products and delivering goods and services using an integrated system of people, machines, materials, information and energy resources. 

Hence, our graduates are prepared to address, impact, and solve today's complex problems in industry, government, and society as they manage the "business" of engineering operations, processes and services. The faculty and staff are committed to quality instruction while integrating research developments in management of production systems, human engineering, and information systems in both the undergraduate and graduate curriculum.

Dr. Richard A. Pitts, Jr.
Chairperson, Industrial and Systems Engineering

richard.pitts at @  morgan.edu
https://www.morgan.edu/soe/ise



Faculty

FIRST NAME LAST NAME TITLE/POSITION E-MAIL
TRIDIP BARDHAN Associate Professor tridip.bardhan@ morgan.edu
LEEROY BRONNER Associate Professor Leeroy.bronner@ morgan.edu
GUANGMING CHEN Professor guangming.chen@ morgan.edu
BHEEM KATTEL Assistant Professor bheem.kattel@ morgan.edu
DEOGRATIS KIBIRA Research Faculty deogratis.kibira@ morgan.edu
SEONG LEE Professor seong.lee@morgan.edu
YASEEN MAHMUD Technical Associate yaseen.mahmud@ morgan.edu
BABATUNDE OLUBANDO Researcher babatunde.olubando@ morgan.edu
KAREN PEACE Administrative Assistant II karen.peace@ morgan.edu
RICHARD PITTS CHAIRMAN richard.pitts@ morgan.edu
MASUD SALIMIAN Lecturer masud.salimian@ morgan.edu
JESSYE TALLEY Lecturer jessye.bemleytalley@ morgan.edu

https://www.morgan.edu/school_of_engineering/departments/industrial_and_systems_engineering/our_faculty/staff.html


INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 



Master of Engineering
Master of Engineering | School of Graduates Studies

General Requirements for Master of Engineering

All candidates who seek to earn the Master of Engineering degree will be required to complete a total of 33 acceptable credit hours of coursework inclusive of 2 credit hours of seminar and 4 credit hours of Project Reports.

Core Requirements for Master of Engineering

A core requirement of three interdisciplinary courses (9 credits hours) will be required of all students entering at master's level and students entering at the doctoral level who did not take these courses. These courses are carefully designed and coordinated to stress the interdisciplinary nature of the subject matter. The content serves as the philosophical foundation on which all other materials tailored for a specific student are based. The courses are as follows:

CEGR 514 Environmental Impact and Risk Assessment - 3 credits
EEGR 505 Advanced Engineering Mathematics with Computational Methods - 3 credits
IEGR 512 Advanced Project Management - 3 credits
Total Credits 9 credits

The following Seminar and Project Report courses are also required of all master's level student:
IEGR 788/789 Seminar I-II 2 creditsI
EGR 798/799 Project Report I-II 4 credits
Total Credits 6 credits

The remaining 18 credits will be taken as electives from the students approved program of study. For individuals admitted with deficiencies, additional courses may be required.
https://www.morgan.edu/school_of_engineering/departments/industrial_and_systems_engineering/graduate/master_of_engineering.html

Course Offerings
Course Offerings

IEGR.500 Mathematical Programming (3 credits)

Introduction to construction of deterministic mathematical models. Mathematical techniques such as linear programming, dynamic programming, integer programming, and game theory. Applications are made to production, transportation, assignment, and resource allocation problems.

IEGR.510 Production Sequencing and Scheduling (3 credits)

Analysis of sequencing and scheduling activities. Static and dynamic scheduling problems applied to single and multimachine models, heuristic models, rule-based models and simulation studies of priority dispatching rules, priority queuing models.

IEGR.511 Advanced Engineering Economy (3 credits)

Topics include measuring economic worth, economic optimization under constraints, analysis of economic risk and uncertainty, foundations of utility theory, and econometric models.

IEGR.512 Advanced Project Management (3 credits)

This is a study of project management theory and practices, emphasizing the strategic management for engineering activities. The concept of project planning and organization project life cycle project scheduling, organizational forms and conflict resolution will be addressed. The use of cost and time value of money, schedule and technical planning and control methods such as WBS, and network models as AOA, AON, CPM/PERT will be stretched. Proposal writing and the use of project management software tools for creating a typical project plan will be explored.

IEGR.515 Engineering Optimization (3 credits)

Introducing and developing the practical aspects of optimization methods focusing on techniques and strategies useful in engineering design, operations and analysis. Survey of the important families of optimization methods. Topics include functions of single and several variables, constrained optimality criteria, transformation methods, constrained direct search, linearization methods for constrained problems, direction generation methods, quadratic approximation methods, structured problems, comparison of constrained optimization methods, strategies for optimization studies. Case studies include optimal design of a compressed air energy storage system, design of natural gas pipeline, and optimization of ethylene glycol-ethylene oxide process.


IEGR.516 Applied Decision Analysis (3 credits)

Bayes Theorem, Bayesian estimators, utility functions, loss functions, risk analysis, minimax strategies, game theory, multiple criteria decision making. Problems in social and public decision making, values and preferences, subjectivity measurement, and Pareto optimality, group decision analysis, social decision processes and strategy of conflicts -


IEGR.530 Advance Simulation (3 credits)

An up-to-date treatment of all the important aspects of simulation study, including modeling, simulation languages, validation, and output data analysis. Topics include selecting input probability distribution, random number generators, generating random variables, output data analysis, statistical techniques for comparing alternative systems, validation of simulation models, variance reduction techniques, and experimental design and optimization.


IEGR.534 Engineering Statistics&Modeling

Sampling distributions, estimation, maximum likelihood estimation, confidence intervals, regression, goodness of fit, correlation, tests of hypotheses, nonparametric statistics, introduction to analysis of variance (ANOVA) and design of experiments.


IEGR.535 Engineering Experimental Design (3 credits)

Analysis and application of standard experimental design, including factorials, randomized block, latin square, confounding and fractional replication multiple comparisons. Fractional factorials, analysis of unbalanced data, and covariance models. Introduction to response surface methodology.


IEGR.539 Robust Design by Quality Engineering (3 credits)

System design, parameter design, and tolerance design. Quality loss function, orthogonal arrays. Quality improvement by design. Making products insensitive to manufacturing variations, environmental variations and deterioration over time. Introduction to TQM, QFD, JIT.


IEGR.550 Human Performance Engineering (3 credits)

Engineering acceptable performance, human limits and differences, sensing, cognitive processing and performance, perception, problem solving and decision-making, memory, motivation. Basic design and human factors, human-machine interface, human-human interface, human-computer interfaces. Supporting human performance and evaluating performances and preferences.

IEGR.555 Artificial Intelligence Programming (3 credits)

Introduction to Lisp programming, early AI programs that use rule-based pattern matching techniques advance AI programs. Topics include building software tools, symbolic mathematics, logic programming, object-oriented programming, knowledge representation and reasoning, expert systems, and natural languages.

IEGR.560 Assembly Automation and Product Design (3 credits)

Analysis of the product design for ease of automatic assembly, automatic assembly transfer systems, automatic feeding and orienting-vibratory feeders, automatic feeding and orienting-mechanical feeders, feed tracks, escapements, parts-placement mechanisms, performance and economics of assembly systems, design for manual assembly, product design for high-speed automatic assembly and robot assembly, printed circuit board assembly, and feasibility study for assembly

IEGR.562 Rapid Prototyping (3 credits)

Fundamental concepts in the development of computational algorithms for the design of machine components and assemblies, and other engineering systems. Methodologies of ideageneration and refinement; Computer-assisted Rapid Sketching methods; general purpose computer programs for engineering analysis and design; Solid modeling techniques and parametric modeling for manufacturing; Analysis of trajectory from idea-generation to prototype production; representation of the design process as a network of decision tables and logical flags; introduction to stereolithography.

IEGR 563 Nontraditional Manufacturing Processes (3 credits)

This course is designed to provide an assessment of the state of the art in the design tools and techniques in the area of non-traditional manufacturing. The students will be exposed to practical applications of non-traditional manufacturing, including use of wire electro-discharge machining and computer-assisted numerical control programming.

IEGR.570 Advanced Instrumentation Techniques (3 credits)

Pressure and sensors; laser holography; laser doppler velocimetry; anemometry signal conditioning, use of amplifiers with shielding and grounding techniques; digital techniques; signal multiplexing, use of microcomputers; sampling techniques, error analysis and data handling; data acquisition methods; hardware and software review.

IEGR.571 Advanced Internal Combustion Engine (3 credits)

Main phases of Otto cycle, Spark-ignition internal-combustion engine, Combustion and detonation; Carburetion and fuel injection, application of reciprocating piston engine, optimal design of triangular rotor (or rotary piston), optimal arrangement of intake, exhaust, and ignition mechanisms, exhaust emissions, fuel economy, and reliability.

IEGR.572 Design & Analysis of Energy Systems (3 credits)

Elements in design analysis of energy systems, system designs involving heat reservoirs and work reservoirs, selection of fluid flow equipment, heat exchanges designs options, availability analysis, system flowsheeting, economic evaluation/cost estimation, optimal design techniques, and energy systems simulation.

IEGR.573 Applied Thermodynamics & combustion (3 credits)In-depth analysis of power and refrigeration cycles. Flow through nozzles and blade passages. Impulse and reaction turbines. Blade diagrams and efficiency. Production of thermal energy. Chemical reactions and reactive mixtures. Combustion process and analysis of the products for the fossil-fuel systems.

IEGR.574 Heating, Ventilating, Air Conditioning (HVAC), and Energy Conservation Systems (3 credits)

Air conditioning and environmental control, heat transmission in building structure, space heat load and cooling load, room and building air distribution, Principal of psychometrics, mass transfer and measurement of humidity, direct contact heat/mass transfer, refrigeration, renewable/inexhaustible energy sources, energy conservation/legislation, cogeneration/heat reclamation, Design, installation and operation computer controlled Energy Management Systems Automation.

IEGR.575 Computer Integrated Manufacturing (3 credits)
Overview of the functions, processes, and disciplines of computer-integrated manufacturing. Topic include automation and computer integrated manufacturing, computer aided process planning, group technologies, hierarchical computer control, information systems and processing, computer communications systems and software, computer networks, design, assembly, machining and control nodes. Current issues, emerging technologies, and future developments in computer integrated manufacturing.

IEGR.576 Principles of Manufacturing Information System (3 credits)

Introduction to the theory and concepts of information for manufacturing organization and management of information within a manufacturing enterprise, database systems, information-based planning and management tools, electronic data interchanges. Design of manufacturing systems such as MRP, SFRS, CAD/CAM, etc. Concerns of integration and man-machine interface in manufacturing systems.

IEGR.577 Computational Heat and Fluid Engineering (3 credits)

Engineering applications of computational heat and fluid engineering, computational methodology for the closed/open systems, heat balance and loss in circular pipes, variation of atmospheric by inviscid flows are outlined and the relevant numerical methods are introduced.

IEGR.585 Occupational Safety Engineering (3 credits)

Design and modification of machinery and products to eliminate or control hazards arising out of mechanical, electrical, thermal, chemical, and motion energy sources. Application of retrospective and prospective hazard analysis, systems safety performance and measurement, accident prevention philosophies, expert systems and accident reconstruction methodologies. Case studies include industrial machinery and trucks, construction and agriculture equipment, and automated manufacturing systems and processes.

IEGR.595 Entrepreneurship for Engineers (3 credits)

This is an interdisciplinary course in the development and application of tools, methods, and resources to provide engineering students with an entrepreneurial look at the business side of the engineering profession.

IEGR.603 Supply Chain & Logistics Management (3 credits)

In-depth study on the discipline and philosophy of logistics and supply chain management with high-level strategic design, and concepts utilizing the analytical and mathematical tools to solve simultaneous cost reduction and service enhancement problems. Contemporary issues in the flow of goods and services will be discussed and studied within a framework of logistics management and specific applications in modeling and simulation.

IEGR 605 Integer Programming and Network Models (3 credits)

Network flow models and applications. Algorithms for the shortest path, minimum cost f low and maximum f low problems. Integer programming models and formulation. Computational complexity of integer programming problems. Lagrangean duality theory, branch and bound techniques, cutting planes and hybrid algorithms. Application of these methods to facility location and traveling salesman problems. Study of special techniques for selected topics such as vehicle routing, set covering and network design problems.

IEGR 620 Nonlinear Programming (3 credits)

Theoretical development of solution methods in nonlinear programming including manifold suboptimization, convex simplex, reduced gradient, gradient projection, feasible direction, cutting plane, and penalty function methods. Investigation of convergence of algorithms. Methods of solution for integer programming problems including cutting plane methods, enumerative techniques, and dynamic programming methods.

IEGR 625 Stochastic Processes (3 credits)

A survey course of stochastic processes with an emphasis on applications in engineering, management science, and physical sciences. Topics covered include radome walk, Markov and Poisson processes, renewal theory, and stationary processes, illustrated with examples in queuing theory, inventory control, time series and random noise.

IEGR 635 Advanced Robust Design (3 credits)

This course will provide useful techniques for product and manufacturing process deign. It has three basic steps: system design, parameter design, and tolerance design. Quality can be built into product into products through design. The methodology is based upon quality loss function, experimental design and orthogonal arrays, etc. Prerequisite: IEGR 535 or equivalent.

IEGR 636 Time Series Analysis and Forecasting Systems (3 credits)

Time and frequency domain aspects of time series are developed in a mutually reinforcing fashion. Behavior patterns of time series are examined with a view toward model identification and forecasting. The statistical procedures for model estimation are presented and employed. Multiple time series concepts and problems are introduced. The Box-Jenkins approach is emphasized.

IEGR 640 Fundamental Reliability (3 credits)

Probabilistic models underlying reliability and life testing analysis. Structural and reliability properties of coherent systems, exact system reliability and approximation, parametric families of life distribution and their characterizing models, homogeneous and nonhomogeneous Poisson processes, mixtures of distributions, competing risk and multiple failure mode models, accelerated life testing models, regression and partial likelihood models, types of censoring, multiple failure mode analysis. Inference procedures, including graphical analysis for various parametric models and for complete and censored samples. Applications in engineering, biometry, and actuarial science.

IEGR 662 Rapid Prototyping II (3 credits)

Students, individually or in groups, develop a small-scale rapid prototyping team to address the need for a rapid prototype of a component or set of components relevant to an engineering subject. Students are given a fixed budget and a target time for completion of prototype. Problem identification, ideation and refinement; problem analysis; decision processes; advanced sketching and computer-aided design; applications of advanced solid-modeling, using a robust parametric modeler; introduction to graphical file transfer protocols for sharing design information among team members; advanced prototype production methods; production of prototypes using a stereolithography system;

IEGR 663 Nontraditional Manufacturing Processes (3 credits)

Analysis of the processes, sensors, machine tools, and control systems in nontraditional manufacturing processes. Processes include abrasive jet machining, water jet machining, abrasive water jet machining, abrasive flow machining, ultrasonic machining, ultrasonic welding, high energy rate forming, electrochemical machining, electrochemical grinding, electrochemical discharge machining, electrostream drilling, shaped-tube electrolytic machining, chemical machining, electrical discharge machining, electrical discharge wire cutting, electrical discharge grinding, electron beam welding, electron beam machining, laser processing, plasma arc cutting, and thermal energy (deburring) method.

IEGR 670 Advanced Product & Operations Management (3 credits)

An advanced study of production management techniques applied to control the operation of production and manufacturing systems. Advanced theories and practices of forecasting and inventory control including definitive, statistical and mixed behavior. The planning process will be approached at the aggregation of a master production schedule, and will be intensively explored including the unique approaches of MRP. Other topics include methods of operation sequencing and scheduling techniques under resource constraints including BHR&S. Contemporary and innovative models and applications of production analysis and control with the use of recent developments in FMS, AS/RS, AGVS theories and applications will also be examined.

IEGR 680 Advanced Product Issues (3 credits)

This course will provide determination of feasibility of design idea, and decision processes for choosing better design alternatives. Case studies will include the planning and creation of successfully engineered designs.

IEGR 686 Industrial Engineering Applications in Health Systems (3 credits)

Description of the health care system and its resource components, accessibility, availability, distribution, and cost. Health system inputs, processes, and outputs. Applications of industrial engineering to health care management problem. Hospital management, forecasting, managerial control, facility planning, resource allocation and information systems.IEGR 678 Engineering Design Process (3 credits)Definition of design, the design process and its considerations, managing design projects, modeling and simulation, design analysis for material selection, economic analysis in design, optimization in design, statistical decisions, design for reliability, safety and environmental protection, engineering ethics characterization.

IEGR 690 Enterprise Resource Planning (3 credits)

The various topics include MRP (Material Requirements Planning), MRP II (Manufacturing Resources Planning), and Flow Manufacturing, Time as a competitive weapon (TCW) Theory, Just-In-Time Principles, Inventory Management and Theory of Constrains (TOC) philosophy.

IEGR 788 Seminar I (1 credit)

The Course is designed to provide a multidisciplinary approach to the integration of engineering disciplines and technologies. The primary objective is to demonstrate to the students how important it is, in the professional world, to work together as a team in terms of solving practical engineering problems. The students will be exposed to practical applications that focus on their academic interests but tempered by ideas coming from other disciplines. This will be accomplished by having guest speakers, special assignments, project-oriented discussions, and self-study activities.

IEGR 789 Seminar II (1 credit)

The course is designed to provide a multidisciplinary approach to the integration of engineering disciplines and technologies. The primary objective is to demonstrate to the students how important it is, in the professional world, to work together as a team in terms of solving practical engineering problems. The students will be exposed to practical applications that focus on their academic interests but tempered by ideas coming from other disciplines. This will be accomplished by having guest speakers, special assignments, project-oriented discussions, and self-study activities.

IEGR 790 Research in Design and Manufacturing (3 credits)

Introduce the graduate students to the research topics in the important design and manufacturing area. Through this course, the students can conduct timely and topic engineering research, perform industrial design and analysis.

IEGR 797 Project Report Guidance (3 credits)

Project guidance provides students, who have not completed their project in the assigned semester, a mechanism for continuing their work under faculty supervision.

IEGR 798 Project Report I (2 credits)

Project report I is to let students learn how to prepare a real project. This course emphasizes the analysis and the design of a specific industrial engineering problem under the guidance of a faculty advisor.

IEGR 799 Project Report II (2 credits)

Project report II is to let students learn how to conduct a real project. This course emphasizes the analysis and the design of a specific industrial engineering problem under the guidance of a faculty advisor.

IEGR 997 Dissertation Guidance (3 credits)

Dissertation guidance provides students, who have not completed their dissertation in the assigned semester, a mechanism for continuing their work under faculty supervision. IEGR 998 Dissertation (12 credits)

https://www.morgan.edu/school_of_engineering/departments/industrial_and_systems_engineering/graduate/course_offerings.html


Graduates

Dajon Wiafe
Degreed Industrial & Systems Engineer @ Morgan State University | System Engineer @ Lockheed Martin | Skilled with Lean Six Sigma, & Process Improvement | Aspiring Operations/Process Improvement Analyst



Ud. 30.6.2024
Pub. 19.8.2019














Northern Illinois University - Industrial Engineering Programs

66. Northern Illinois University
1425 W. Lincoln Hwy., DeKalb, IL 60115-2828

Department of Industrial and Systems Engineering


2025

Purushothaman (Purush) Damodaran, Ph.D.
Interim Chair and Professor
815-753-3172
pdamodaran@niu.edu
EB 246


Fall 2024
August 26 Monday Classes Begin
https://www.niu.edu/academics/calendars/index.shtml

Professor and Chair
Purushothaman (Purush) Damodaran, Ph.D.
Contact
815-753-5660
pdamodaran  @niu.edu
Website : https://www.niu.edu/pdamodaran/

Programs Offered under Industrial and Systems Engineering
BS :
https://www.niu.edu/ceet/departments/industrial-and-systems-engineering/bs-industrial-systems.shtml

INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 


MS :
http://catalog.niu.edu/preview_program.php?catoid=44&poid=10066&returnto=2103 

Productivity Management-No course


https://www.niu.edu/ceet/departments/industrial-and-systems-engineering/index.shtml

Our curriculum aims to give you the tools to improve productivity, save money and effectively use resources in jobs across a variety of industries that include manufacturing, healthcare, entertainment, transportation and shipping services.

https://www.niu.edu/ceet/departments/industrial-and-systems-engineering/bs-industrial-systems.shtml

 Industrial and systems engineers are constantly looking for better solutions to improve the process and production of goods and services. It requires both vision and action. You’ll sharpen your eye for efficiency and discover new innovative ways to improve productivity.

Faculty
https://www.niu.edu/ceet/about/faculty-and-instructors/index.shtml#isye


IISE 2020 Annual Conference Attendees

Shanthi Muthuswamy, Ph.D
Associate Professor
Northern Illinois University
Engineering technology
https://www.niu.edu/ceet/about/faculty-and-instructors/muthuswamy-shanthi.shtml

Ziteng Wang
Assistant Professor
Northern Illinois University
Mathematics, Operations Research
https://www.niu.edu/ceet/about/faculty-and-instructors/wang-ziteng.shtml

Western Michigan University - Industrial Engineering Programs

Fall 2024
Classes begin at 8 a.m. Aug. 28
https://wmich.edu/registrar/academic-calendar-2024-25

Industrial and Entrepreneurial Engineering and Engineering Management



INTRODUCTION TO ENGINEERING - INTRODUCTION TO MODERN INDUSTRIAL ENGINEERING.  
#IndustrialEngineering for #SocietyProsperity.
For the Academic Year 2024-25 -  Bachelor in Industrial Engineering  #BSIE. 9480+ Downloads for 2023-24. 
Free Download  from: 


https://wmich.edu/ieeem



Tycho Fredericks
Chair
Professor
(269) 276-3356

Lee Wells
Associate Professor
Graduate Advisor
(269) 276-3237

Dana Hammond
Faculty Specialist II
Undergraduate Advisor
(269) 276-3370

Bob White
Professor
Industrial Engineering Ph.D. Advisor
(269) 276-3379





Master's Programs
MASTER OF SCIENCE IN INDUSTRIAL ENGINEERING

The program is structured to fit individual student interests and career objectives. Thesis and non-thesis options are available. Program graduates can look forward to career opportunities at higher levels of responsibility and remuneration. These include jobs at a variety of levels in manufacturing and service-related industries.

Catalog description
Program overview

MASTER OF SCIENCE IN ENGINEERING MANAGEMENT
Program graduates can look forward to career opportunities at higher levels of responsibility and compensation. The specific career path objectives of the individual may be met by focusing the electives and optional thesis or project. Master’s degree candidates will work with their academic advisors to tailor all elective course work.

Catalog description
Program overview
IDUSTRIAL ENGINEERING: ACCELERATED
The accelerated master’s degree program allows undergraduate students in the industrial and entrepreneurial engineering program an opportunity to complete the requirements for the master’s degree at an accelerated pace. Students may choose to pursue a master’s degree in industrial engineering under either the thesis option or the non-thesis option.

Catalog description
Program overview
Program requirements

The accelerated master’s degree program allows undergraduate students in the industrial and entrepreneurial engineering program an opportunity to complete the requirements for the master’s degree at an accelerated pace.

More information on the degrees in industrial engineering and engineering management can be found in the graduate catalog.

Graduate student handbook, "Fun Facts to Keep on Track"

For more information about the IEE & EM masters programs contact:

Department of Industrial and Entrepreneurial Engineering & Engineering Management
College of Engineering and Applied Sciences
Western Michigan University
1903 W Michigan Ave
Kalamazoo MI 49008-5336-USA
Phone: (269) 276-3350
Email: ieeem-info@wmich.edu

https://wmich.edu/ieeem/academics/masters


Industrial Engineering

Industry Highlights
Opportunities for industrial engineers continue to grow with the rapid expansion of the service and
information sectors of the economy. Graduates of the program have taken positions with higher levels of responsibility and remuneration. Areas of opportunity include:

• Advanced computer-integrated manufacturing
• Analysis and design of experiments
• Engineering management
• Ergonomics and human factors
• Facilities planning and design
• Financial and cost analysis
• Operations research
• Project management
• Reliability engineering
• Simulation modeling
• Total-quality management
https://wmich.edu/sites/default/files/attachments/u883/2019/Industrial%20Engineering%2C%202018-19.pdf

Top Industrial Engineering Programs USA




Download from:



https://www.collegefactual.com/majors/engineering/ie-industrial-engineering/rankings/top-ranked/

https://www.collegefactual.com/majors/engineering/ie-industrial-engineering/rankings/top-ranked/bachelors-degrees/


Top Industrial Engineering Programs USA


The ranks are 2014 related












Grand Canyon University BS Program   https://www.gcu.edu/degree-programs/bachelor-science-industrial-engineering


Read more: Most Popular Schools for Industrial Engineering Major and Degree Program - StateUniversity.com
http://www.stateuniversity.com/program/14-3501/Industrial-Engineering

Above information is combined with Info in
http://www.accesseducationindia.com/top-industrial-manufacturing-courses.html


Updated on 9.5.2024,   1.7.2022,  22 September 2019,  3 September 2019,   17 August 2019
15 July 2018
Earlier update 16 November 2018