Industrial Engineering

Industrial Engineering
https://engrprofmasters.rice.edu
2036 Duncan Hall
713-348-4178

Andrew J. Schaefer
Program Director
andrew.schaefer@rice.edu

The Master of Industrial Engineering degree program is scheduled to start in Fall 2019 (Academic Year 2019-2020).

The Master of Industrial Engineering degree is a graduate degree program administered by the George R. Brown School of Engineering, with the participation of the Rice University Departments of Mechanical Engineering and Statistics, and the Rice Center for Operations Research.

The program is designed to explore modern industrial systems, which arise in fields such as manufacturing, services, supply chain management, energy, transportation and healthcare. Analyzing and optimizing their performance is very challenging; for example, the number of ways that Federal Express can route its vehicles vastly exceeds the number of atoms in the universe. These analyses are crucial; their financial impact typically exceeds the profit margins in many industries, such as transportation and retailing. 

To meet these challenges, the Master of Industrial Engineering degree emphasizes improving the quality and reliability of complex systems. It provides students with a deep set of analytical and engineering skills, and contextual knowledge of important problem domains, such as manufacturing, supply chain, energy and healthcare. Graduates will help industry, governments and non-profits improve efficiency in changing and uncertain environments. 

Industrial Engineering does not currently offer an academic program at the undergraduate level.

Director

Andrew J. Schaefer

Professors

Michael D. Byrne, Psychological Sciences
Fathi Ghorbel, Mechanical Engineering 
Illya V. Hicks, Computational & Applied Mathematics
C. Fred Higgs III, Mechanical Engineering 
Marcia K. O’Malley, Mechanical Engineering
Amit Pazgal, Business 
Eduardo Salas, Psychological Sciences
Andrew J. Schaefer, Computational & Applied Mathematics
Laura Schaefer, Mechanical Engineering 
Pol D. Spanos, Mechanical Engineering 
Richard A. Tapia, Computational & Applied Mathematics
Yin Zhang, Computational & Applied Mathematics

Associate Professors

Leonardo Dueñas-Osorio, Civil and Environmental Engineering 
Philip T. Kortum, Psychological Sciences 

Assistant Professors

Matthew Brake, Mechanical Engineering 
Philip A. Ernst, Statistics
Pedram Hassanzadeh, Mechanical Engineering 

Assistant Teaching Professor

Eleazar Marquez, Mechanical Engineering

Professor in the Practice

John Dobelman, Statistics

Lecturer

Eylem Tekin, Industrial Engineering 

 

For Rice University degree-granting programs:
To view the list of official course offerings, please see Rice’s Course Catalog
To view the most recent semester’s course schedule, please see Rice's Course Schedule

Industrial Engineering (INDE) 

INDE 501 - FUNDAMENTALS OF INDUSTRIAL ENGINEERING

Short Title: FUND INDUSTRIAL ENGINEERING

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Description: Introduction to fundamental tools in industrial engineering. Topics include productivity analysis, material handling, logistics, design of experiments, quality control, location theory, warehouse design, supply chain management and scheduling. Instructor Permission Required.

INDE 509 - INTRODUCTION TO HUMAN FACTORS ENGINEERING

Short Title: INTRO TO HUMAN FACTORS ENG

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Prerequisite(s): INDE 501

Description: Analysis and design of engineering systems considering human characteristics and limitations. Design of control, displays, tools, workstations and groups. Human factors research methods. Instructor Permission Required.

INDE 545 - PRESCRIPTIVE ANALYTICS

Short Title: PRESCRIPTIVE ANALYTICS

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Description: A survey of methods for combining mathematical models and large data sets to produce optimal decisions. Topics include decision analysis, dynamic programs, mathematical programs and various heuristics. Instructor Permission Required.

INDE 546 - COMPUTATIONAL PRESCRIPTIVE ANALYTICS

Short Title: COMP PRESCRIPTIVE ANAYLTICS

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Prerequisite(s): INDE 545

Description: A continuation of INDE 545 that focuses on computational approaches to prescriptive analytics. Topics include decomposition approaches to large-scale optimization, modeling languages, decision analysis and discrete-even simulation software. Emphasis will be placed on using relevant software on practical problems. Instructor Permission Required.

INDE 561 - SUPPLY CHAIN MANAGEMENT

Short Title: SUPPLY CHAIN MANAGEMENT

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Prerequisite(s): INDE 545

Description: Supply chain management is the integrated management of the flow of materials, products, services, and cash from the suppliers all the way to the customers and from the customers back to the suppliers. Due to the complex nature of today’s supply chains, effective management of these flows is a challenging task. This course aims to familiarize students with the concepts and models that are useful in designing and managing effective and efficient supply chains. Topics include facility location and distribution models, forecasting, sales & operations planning, supply chain coordination, inventory management, transportation, supplier selection, pricing & revenue management, and sustainability in supply chains. Instructor Permission Required.

INDE 571 - PROBABILITY AND STATISTICAL INFERENCE

Short Title: PROB & STATISTICAL INFERENCE

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Description: Topics include probability, random variables, probability distributions, transformations, moment generating functions, common families of distributions, independence, sampling and convergence, basics of estimation theory, hypothesis testing, Bayesian inference, ANOVA, regression. Introduction to statistical software.

INDE 572 - STOCHASTIC PROCESSES AND SIMULATION

Short Title: STOCH PROCESSES & SIMULATION

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Prerequisite(s): INDE 571

Description: Topics include Markov chains, renewal processes, queueing theory, statistical quality control, discrete-event simulation, random number generators, Monte Carlo methods, resampling methods, Markov Chain Monte Carlo, importance sampling and simulation based estimation for stochastic processes.

INDE 590 - MASTER'S IN INDUSTRIAL ENGINEERING CAPSTONE EXPERIENCE

Short Title: MIE CAPSTONE EXPERIENCE

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Research

Credit Hour: 1

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Description: MIE students are required to write a field report related to one of the required core courses in the curriculum. Students should coordinate this with the INDE 590 instructor/capstone director, prepare a report relevant to the course material, and present it in class. Instructor Permission Required. Recommended Prerequisite(s): INDE 501 and INDE 545 and INDE 571.

INDE 597 - TOPICS IN INDUSTRIAL ENGINEERNG

Short Title: TOPICS IN INDUSTRIAL ENG

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Restrictions: Enrollment is limited to Graduate level students.

Course Level: Graduate

Description: Topics and credit hours may vary each semester. Instructor Permission Required. Repeatable for Credit.

INDE 677 - SPECIAL TOPICS

Short Title: SPECIAL TOPICS

Department: Industrial Engineering

Grade Mode: Standard Letter

Course Type: Seminar, Lecture, Laboratory, Internship/Practicum

Credit Hours: 1-4

Restrictions: Enrollment is limited to Graduate or Visiting Graduate level students.

Course Level: Graduate

Description: Topics and credit hours vary each semester. Contact department for current semester's topic(s). Repeatable for Credit.

Description and Code Legend

Note: Internally, the university uses the following descriptions, codes, and abbreviations for this academic program. The following is a quick reference:  

Course Catalog/Schedule 

  • Course offerings/subject code: INDE

Program Description and Code

  • Industrial Engineering: INDE

Graduate Degree Description and Code

  • Master of Industrial Engineering: MIE

Graduate Degree Program Description and Code

  • Degree Program in Industrial Engineering: INDE 

CIP Code and Description1

  • INDE Major/Program: CIP Code/Title: 14.3701 - Operations Research