Department of Industrial Engineering

The mission of the Department of Industrial and Manufacturing Engineering is to provide for students a solid industrial engineering curriculum coupled with a strong research program driven by the economic and technologic development needs of society.

The Industrial engineering degree provides a broad technical background with special emphasis on manufacturing systems, computer modeling, costs, quality, management, and human factors. Industrial engineering draws upon specialized knowledge and skills in the mathematical, physical, and social sciences, together with the principles and methods of engineering design and analysis, to specify, predict, and evaluate industrial systems.

The program of study includes engineering analysis for the optimization of industrial systems, design of human-machine systems, and the scientific management of activities. Specialized training is available in the use of modern engineering tools and techniques such as computer-aided design (CAD), computer integrated manufacturing (CIM), and ergonomic (human factors) engineering.

Industrial engineers (IEs) pursue careers in manufacturing, service industries and government. Many IEs are being employed in nontraditional fields such as hospitals, banks, insurance and information processing. The present and future demand for IEs appears to be very high. IEs are increasingly being called upon to act as productivity catalysts in manufacturing and service organizations to meet regional, national, and international demand and competition.

Faculty Teaching and Research Interest

Okenwa I. Okoli, Ph.D., Professor and Chairman, University of Warwick, Composites Manufacturing, Structural Health Monitoring, Toughened Ceramics.

Samuel A. Awoniyi, Ph.D., Professor, Cornell University, Applied Optimization.

Robert Braswell, Ph.D., Oklahoma State University, Emeritus Professor.

Tarik Dickens, Ph.D., Associate Professor, Florida State University, Design for Advanced Composites, Additive Manufacturing, Manufacturing & Composite Automation, Mechanical Testing & Intrinsic NDE Monitoring, Failure & Life-cycle analysis, Siemens PLM.

Richard Liang, Ph.D., Professor, Beijing University of Aeronautics and Astronautics, Composite Materials, Polymers and Nanomaterials, Materials Microstructure/Property Characterization and Modeling, Advanced Manufacturing.

Chiwoo Park, Ph.D., Associate Professor, Texas A&M University, Engineering Statistics, Data Mining and Quality Engineering.

Michael Devine, Ph.D., University of Texas, Austin, Entrepreneur in Residence & Professor

Beth Gray, M.S., Ohio State University, Teaching Faculty I

Lichun Li, Ph.D., Notre Dame, Assistant Professor, Game Theory, Control Theory, Security of Cyber-Human-Physical systems, Smart manufacturing, & Large Scale Networked systems

Yanshuo Sun, Ph.D., University of Maryland, Assistant Professor, Smart Cities, Freight and Logistics, Shared Mobility, Air Transportation, Public Transit, Transportation Economics.

John Taylor, M.S., Wichita State University, Teaching Faculty II

Rebekah Sweat, Ph.D., Assistant Professor, Florida State University, Micromechanics, Nanomaterials, Composites, Fracture Mechanics, Digital Twin Technology, Predictive Simulation, Multifunctional Materials

Arda Vanli, Ph.D., Associate Professor, Pennsylvania State University, Quality Engineering, Statistics, Time Series Analysis.

Hui Wang, Ph.D., Assistant Professor, University of South Florida, Data Fusion Enabled Manufacturing Process/System Design, Monitoring, Diagnosis, and Control, Cyber-Physical Systems for Design and Manufacturing, Micro-Informatics and Micro-Level Quality Control Methodology.

Zhibin Yu, Ph.D., Associate Professor, University of California Los Angeles, Semiconductor thin film growth, Electronic devices for energy harvesting and energy efficiency, Wearable electronics and sensors, Micro actuators.

Changchun Zeng, Ph.D., Professor, Ohio State University, Polymeric Materials, Composite Materials, Nanomaterials.

Mei Zhang, Ph.D., Professor, Osaka Prefecture University, Nanomaterials Processing and Applications.

State of Florida Common Program Prerequisites

The State of Florida has identified common program prerequisites for this University degree program. Specific prerequisites are required for admission into the upper-division program and must be completed by the student at either a community college or a state university prior to being admitted to this program. Students may be admitted into the University without completing the prerequisites, but may not be admitted into the program. Students are strongly encouraged to select required lower division electives that will enhance their general education coursework and that will support their intended baccalaureate degree program. Students should consult with an academic advisor in their major degree area.

At the time this document was published, some common program prerequisites were undergoing revision. Please visit https://www.flvc.org/student-services/college-transfer-center/common-prerequisite-manual for a current list of state-approved prerequisites.

MAC X311 or MAC X281
MAC X312 or MAC X282
MAC X313 or MAC X283
MAP X302 or MAC X305
CHM X045/X045L or CHMX045C or CHS X440
PHY X048/X048L or PHYX048C or PHYX043/X048L
PHY X049/X049L or PHYX049C or PHYX044/X049L

Common Program Prerequisites can also be found at http://www.facts.org

Definition of Prefixes

EGN-Engineering
EIN-Engineering Industrial
ESI-Engineering Industrial (Systems)

IE majors are required to consult with their IE academic advisor before enrolling for the next academic term. Students must obtain current industrial engineering requirements and course offering schedules from the IE Department or from the College of Engineering Student Services Office.

Grade Requirements:

In addition to University and college requirements regarding grades and grade point average (GPA), the Department of Industrial and Manufacturing Engineering requires that the undergraduate IE major achieve a grade within the “C” range or higher for all required

IE courses. In accordance with College of Engineering policy, an undergraduate student may request that one course completed with a grade of “D+”, “D”, or “D-” be counted toward the BSIE degree. Recommendation by the IME undergraduate adviser(s) and approval by the department chairperson and the associate dean are required for the course to be counted toward graduation credit.

Industrial Engineering Graduate Programs

Description

Industrial Engineering is a broad discipline that encompasses education and basic/applied research concerning the design, improvement and installation of integrated systems of people, material, information, equipment and energy. Graduate studies in the Department of Industrial Engineering are broadly organized into the following two areas: manufacturing engineering and industrial systems. Current research interests include integrated product/process design, artificial intelligence in engineering, precision machining and metrology, intelligent processing of composite materials, predictive maintenance, manufacturing system analysis, rapid prototyping, set-covering theory, and quality control and management.

The Department of Industrial and Manufacturing Engineering offers two graduate degree programs: Master of Science (MS) and Doctor of Philosophy (PhD). Industrial Engineering is a broad discipline that encompasses education and basic/applied research concerning the design, improvement, and installation of integrated systems of people, material, information, equipment and energy. Graduate instruction and research are broadly grouped into three categories: manufacturing engineering, quality engineering, and industrial systems.

Current research interests include integrated products, manufacturing processes, and systems design; CAD/CAM; robotics; artificial intelligence in engineering; precision machining and metrology; rapid prototyping; composite material processing; quality control; quality engineering; manufacturing systems analysis; set-covering theory; simulation environments; supply chain management; and engineering management.

Faculty Teaching and Research Interest

Okenwa I. Okoli, Ph.D., Professor and Chairman, University of Warwick, Composites Manufacturing, Structural Health Monitoring, Toughened Ceramics.

Samuel A. Awoniyi, Ph.D., Professor, Cornell University, Applied Optimization.

Robert Braswell, Ph.D., Oklahoma State University, Emeritus Professor.

Lichun Li, Ph.D., Notre Dame, Assistant Professor, Game Theory, Control Theory, Security of Cyber-Human-Physical systems, Smart manufacturing, & Large Scale Networked systems

Yanshuo Sun, Ph.D., University of Maryland, Assistant Professor, Smart Cities, Freight and Logistics, Shared Mobility, Air Transportation, Public Transit, Transportation Economics.

Chiwoo Park, Ph.D., Associate Professor, Texas A&M University, Engineering Statistics, Data Mining and Quality Engineering.

Arda Vanli, Ph.D., Associate Professor, Pennsylvania State University, Quality Engineering, Statistics, Time Series Analysis.

Hui Wang, Ph.D., Associate Professor, University of South Florida, Data Fusion Enabled Manufacturing Process/System Design, Monitoring, Diagnosis, and Control, Cyber-Physical Systems for Design and Manufacturing, Micro-Informatics and Micro-Level Quality Control Methodology.

Changchun Zeng, Ph.D., Professor, Ohio State University, Polymeric Materials, Composite Materials, Nanomaterials.

Mei Zhang, Ph.D., Professor, Osaka Prefecture University, Nanomaterials Processing and Applications.

Research Facilities

The Department of Industrial and Manufacturing Engineering provides an excellent environment for instruction and research. The department has seven laboratories: Advanced Material Processing, Applied Robotics and Ergonomics, Automated Systems, Composite Manufacturing and Testing, Computer Integrated Manufacturing, Precision Manufacturing, and Quality Engineering. Each lab is equipped with state-of-the-art research and instructional equipment. For example, the manufacturing lab includes full-size and table-top robots and CNC machines, as well as software for data acquisition, simulation, and process monitoring and control.

Students have access to computer facilities, which include SUN workstations and servers, IBM-compatible Pentium-based PC’s and high performance engineering workstations. The department offers access to a wide variety of software, including CAD/CAM simulation, optimization and database management programs. Software development environments supporting research activities are maintained. In addition, the College of Engineering computing facilities support a SUN cluster with fifteen Ultra Sparc Systems and LAN Manager environment.

FAMU participates in an Army-funded High-Performance Computing Research Consortium operated by the University of Minnesota, through which students have direct access to high performance supercomputers located on the University of Minnesota campus. Several engineering faculty members have a joint appointment with the National High Magnetic Field Lab.

Definition of Prefixes

EGN-Engineering: General
EIN-Industrial Engineering
EMA-Materials Engineering
ESI-Industrial/Systems Engineering

Programs

Bachelor’s Degree

Industrial Engineering, BSIE

Master’s Degree

Doctorate Degree

Industrial Engineering, PhD