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ACADEMICS:
The Department of Industrial Engineering offers three graduate programs at the Master’s degree level: a Master of Engineering in Industrial Engineering, a Master of Science in Industrial Engineering with thesis, and a Master of Science in Industrial Engineering without thesis. Students in all three programs may choose a specialization in management systems, quality control systems, or manufacturing systems.

Graduates from these programs are prepared to be competent at an advanced level in their area of specialization. Graduates from the Management Systems specialization will be able to design and predict the behavior of integrated systems of people, equipment, materials, and information. Graduates from Quality Systems specialization will be able to develop systems which can assure quality levels and predict failures and cost of quality of products and services. Graduates from the Manufacturing Systems specialization will be able to design and implement automated manufacturing systems which can comply with requirements of safety, productivity and return on investment.

The Master of Engineering degree requires 30 credits, which includes a 3-credit master’s project. The Master of Science in Industrial Engineering degree with thesis requires 30 credits, including a 6-credit thesis based on original research. The Master of Science in Industrial Engineering degree without thesis requires 36 credits and the approval of a comprehensive exam. Students with a background in an area other than industrial engineering may be required to complete remedial courses at the Bachelor’s degree level.

All students must take three core courses, experimental statistics, advanced production control, and advanced systems simulation. There are two required courses which depend on the area of specialization: Discrete Linear Optimization and Advanced Engineering Economy for the Management Systems specialization, Multiple Regression Analysis and Quality Control Systems for the Quality Systems specialization, and Material Handling Systems and Automatic Assembly Systems for the Manufacturing Systems specialization. Additionally, there are a number of elective courses which depend on the degree sought and the area of specialization.

In addition to the admission requirements of the Graduate School Office, a Bachelor of Science degree is required. Students with a background in an area other than engineering must have at least three courses of Calculus, two courses of Physics, Lineal Algebra, Differential Equation and Computer programming. Applicants graduated from non-English speaking foreign universities must present evidence of having taken the TOEFL examination and of their graduating class ranking to be considered for admission.

The Department of Industrial Engineering has well-equipped laboratories and computer facilities. These facilities include a robotics laboratory, a quality control laboratory; human factors and ergonomics laboratory, and a Model Factory. The Department also has a number of computer facilities for teaching and research purposes.

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INDUSTRIAL ENGINEERING (ININ)

Advanced Undergraduate Courses

ININ 5505. TOTAL QUALITY MANAGEMENT. Three credit hours. Three hours of lecture per week. Prerequisite: ININ 4078 or authorization of the Director of the Department.

Introduction to innovative philosophies in total quality control. The impact of leadership, organizational infrastructure and client satisfaction on quality management. Utilization and management of information, personnel, processes and product design for continuous quality improvement.


ININ 5559. ENGINEERING STATISTICS. Three credit hours. Three hours of lecture. Prerequisite: authorization of the Director of the Department.

Development of probability theory for scientific and engineering inference. Discrete and continuous random variables and distributions and their applications in engineering. Hypothesis testing and confidence intervals. Regression analysis. Applications to engineering problem solving.


ININ 5565. MEASUREMENT AND PREDICTION OF PRODUCT RELIABILITY. Three credit hours. Three hours of lecture per week. Prerequisite: ININ 4020 or authorization of the Director of the Department.

Introduction to reliability theory; system analysis; constant failure rate models; time dependent failure rate models; state dependent systems; availability; maintainability; complete and censored data analysis (parameter estimation and distribution fitting); prediction of reliability.


ININ 5575. SEQUENCING AND SCHEDULING OF RESOURCES. Three credit hours. Three hours of lecture and/or discussion per week. Prerequisite: ININ 4021 or authorization of the Director of the Department.

Conceptual and practical aspects involved in the scheduling of resources. Examples and applications drawn from areas such as manpower, computer, and transportation.


ININ 5595. DESIGN AND MANAGEMENT OF SERVICES PROCESSES. Three credit hours. Three hours of lecture per week. Prerequisites: ININ 4009 and ININ 4039 or authorization of the Director of the Department.

Industrial Engineering techniques and models to design and manage the operations of service organization or service processes in manufacturing enterprises. Includes the development, evaluation and implementation of alternative solutions to the service organization operational problems. Presentation of applications in the following areas: marketing, quality assurance and management, work measurements and design, operations research, production planning and control, engineering economy, human resources, management information systems, and facilities layout.


Graduate Courses

ININ 6005. EXPERIMENTAL STATISTICS. Three credit hours. Three hours of lecture and/or discussion per week. Prerequisite: authorization of the Director of the Department.

Applications of multiple regression to analysis of variance and experimental designs. Analysis of multiple classifications involving fixed, random, and mixed effects, including crossed and nested variables of classification. Emphasis on computer model applications.


ININ 6008. NETWORK FLOWS AND GRAPHS IN MANAGEMENT SCIENCE. Three credit hours. Three hours of lecture and discussion per week. Prerequisite: authorization of the Director of the Department.

Principles of network flows and graphs theory and their applications in management science. Classical network flow problem formulations including maximal flow-minimal cut, assignment, transportation and others. Representation of optimization problems as network formulations, and the use of the out of kilter algorithm for their solution. Single versus multicommodity flow, as well as the relation of graphs and networks to combination problems.


ININ 6010. MULTIPLE REGRESSION ANALYSIS. Three credit hours. Three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Analysis of unplanned experimental data to develop models for predicting complex systems behavior. Topics include: matrix formulation and properties of least squares estimators in multiple linear regression; analysis of residuals; diagnostics for influential data; strategies for variable selection; diagnostics, effects, and corrective measures for problems with correlated predictor variables; biased regression and other estimation criteria; autocorrelated residuals; simultaneous inference, model validation; use of computer programs to analyze real data and to develop a model.


ININ 6016. HUMAN FACTORS ENGINEERING. Three credit hours. Three hours of lecture and discussion per week. Prerequisite: authorization of the Director of the Department.

Human factors applications in the design of equipment and work environment. Methods for the analysis of human errors and skills and their utilization in the design of control systems and information displays.


ININ 6019. ADVANCED PRODUCTION CONTROL. Three credit hours. Three hours of lecture and discussion per week. Prerequisite: authorization of the Director of the Department.

Advanced topics in forecasting, inventory and applied stochastic processes as they relate to production control systems. Integration of these topics in the production planning process using mathematical optimization techniques and case studies.


ININ 6020. QUEUEING THEORY AND APPLICATIONS. Three credit hours. Three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Development and use of analytical models for the design of queuing systems. Introduction to stochastic-process models. Applications to analysis, design, and optimization of queuing systems in service and manufacturing organizations.


ININ 6025. LINEAR AND DISCRETE OPTIMIZATION. Three credit hours. Three hours of lecture and discussion per week. Prerequisite: authorization of the Director of the Department.

Basic theory and development of the simplex method for solving linear programming problems with discrete variables. Dual problems and sensitivity analysis. Formulation of problems with discrete variables. Developments of implicit enumeration and related methods for integer problems. Application of linear and discrete optimization methods to problems of industry and government. Use of computer programs.


ININ 6026. SYSTEMS SIMULATION. Three credit hours. Three hours of lecture and discussion per week. Prerequisite: authorization of the Director of the Department.

Principles of feedback dynamics; levels; rates, delays. Simulation languages and their applications in industrial and service systems. Analysis and interpretation of results. Recommendation and justification of proposed alternatives.


ININ 6030. ADVANCED ECONOMICS FOR ENGINEERS. Three credit hours. Three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Formulation of economic problems in terms of quantifiable models. Use of deterministic, probabilistic, risk and multiattribute techniques to evaluate design alternatives and to select an acceptable solution.


ININ 6036. NTRODUCTION TO TIME SERIES ANALYSIS. Three credit hours. Three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Univariate and bivariate time series in frequency and time domain, use of autocorrelation and spectral analysis for model identification. Uses of model diagnostic and forecasting techniques, dynamic systems modeling and stochastic estimation by means of the Kalman filter.


ININ 6045. MATERIAL HANDLING SYSTEMS. Three credit hours. Three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Fundamentals of material handling systems including types of equipment and their applications, relationship between material handling and design of facilities, computer control, and automation.


ININ 6046. ADVANCED INDUSTRIAL EXPERIMENTATION. Three credit hours. Three hours of lecture per week. Prerequisite: ININ 6005 and authorization of the Director of the Department.

Applications, analogies and differences among confidence intervals, prediction intervals, and tolerance intervals. Fundamental concepts and applications of response surface methodology and evolutionary operations to manufacturing processes. Case study of manufacturing experiments with dichotomous or polytomous response variables. Use of logistic regression for modeling the relationship between a categorical variable and a set of covariates. Effective modeling strategies and the interpretation of results are emphasized. Fundamental concepts in the design and analysis of experiments with mixtures. Statistical techniques and methods for designing, modeling, and analyzing mixture data. Extensive use of software packages for statistical data analysis.


ININ 6078. QUALITY CONTROL SYSTEMS. Three credit hours. Three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Advanced topics in statistical process control. Design of control charts. EWMA charts. The SPRT and its applications in quality engineering: CUSUM and continuous sampling plans. Multivariate control charts. Principles of quality engineering and Taguchi methods. The loss function and its applications to multiresponse experiments.


ININ 6995. SPECIAL PROGRAMS. One to three credit hours. One to three hours of lecture per week. Prerequisite: authorization of the Director of the Department.

Study of previous work and literature on a selected topic of the industrial engineering field.


ININ 6998. ENGINEERING PROJECT. Three to six credit hours.

Comprehensive study of a special industrial engineering problem selected so as to integrate the knowledge acquired in the graduate program study. This project fulfills one of the terminal requirements of the Master of Engineering program, and will be governed by the norms established for this purpose.


ININ 6999. THESIS. One to six credit hours.

Research in the Industrial Engineering field leading to the presentation and approval of a thesis.


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INDUSTRIAL ENGINEERING FACULTY

A list of professors who engage in graduate activities in the Department follows, including the highest earned degree, date, and institution granting the degree. Research and teaching interests are also included.

AHAD ALI, Assistant Professor, Ph.D., 2003, University of Wisconsin, Milwaukee. Teaching and Research interests: Manufacturing Systems Modeling, Logistics and Supply Chain Management, Operations Research, Production Planning and Inventory Control.

JACK T. ALLISON, Professor, Ph.D., 1983, Texas A&M University. Teaching and Research interests: Operations Research, Facility Design, Pavement Management.

NOEL ARTÍLES-LEÓN, Professor, Ph.D., 1989, Iowa State University. Teaching and Research interests: Applied Statistics, Queuing Theory, Quality Control, Operations Research.

SONIA M. BARTOLOMEI-SUÁREZ, Professor, Ph.D., 1996, Pennsylvania State University. Teaching and Research interests: Production Control, Facility Layout Planning, Material Handling Systems, Work Measurement, and Simulation.

HÉCTOR J. CARLO, Assistant Professor, Ph.D., 2007, University of Michigan, Ann Arbor. Teaching and Research interests: Production, Distribution, Logistics, Material Handling Systems, Operations Research.

VIVIANA I. CESANÍ, Associate Professor, Ph.D., 1998, University of Wisconsin, Madison. Teaching and Research interests: Production Systems, Cellular Manufacturing, Engineering Economics, and Risk Analysis.

DAVID R. GONZÁLEZ, Associate Professor, Ph.D., 1996, Pennsylvania State University. Teaching and Research interests: Statistical Quality Control, Applied Statistics and Simulation.

WILLIAM HERNÁNDEZ-RIVERA, Associate Professor, Ph.D., 1996, Texas A&M University. Teaching and Research interests: Information Systems, Real Time Process Control, Optimization, and Genetic Algorithms.

MARÍA DE LOS A. IRIZARRY-SERRANO, Professor, Ph.D., 1996, North Carolina State University. Teaching and Research interests: Production and Ergonomics.

ALEXANDRA MEDINA-BORJA, Assistant Professor, Ph.D., Virginia Polytechnic Institute and State University. Teaching and Research interests: Performance Evaluation Systems in Service Organizations, Engineering Economy and Cost Estimation, Management Systems Engineering.

OMELL PAGÁN-PARÉS, Associate Professor, Doctor of Engineering, 1995, Universidad Politécnica de Madrid. Teaching and Research interests: Production Systems and Total Quality Management.

CRISTINA POMALES-GARCÍA, Assistant Professor, Ph.D., 2006, University of Michigan, Ann Arbor. Teaching and Research interests: Human Factors and Ergonomics, Web-based Distance Learning.

NAZARIO D. RAMÍREZ-BELTRÁN, Professor, Ph.D., 1988, Texas A&M University. Teaching and Research interests: Operations Research, Applied Statistics, Time Series Analysis, Optimization and Neural Networks.

PEDRO RESTO-BATALLA, Professor, Ph.D., 1982, Texas A&M University. Teaching and Research interests: Manufacturing, Automation, and Simulation.

AGUSTÍN RULLÁN-TORO, Professor, Ph.D., 1990, Lehigh University. Teaching and Research interests: Automation, Robotics, Facility Layout Planning, Modern Material Handling Systems and Cost Modeling.

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