Industrial and Manufacturing Systems Engineering

College of Engineering

 

Chair Victoria Chen

 

Web www.uta.edu/ie/

Phone 817.272.3092

 

420 Woolf Hall

Degrees / Certificates

Master’s Degrees

Engineering Management, M.S.

Industrial Engineering, M.Engr.

Industrial Engineering, M.S.

Logistics, M.S.

Systems Engineering, M.S.

Doctoral Degrees

Industrial Engineering, B.S. to Ph.D.

Industrial Engineering, Ph.D.

Graduate Faculty

Professor

Victoria Chen

Herbert Corley

Donald Liles

John Priest

Associate Professor

Brian Huff

Sheik Imrhan

Erick Jones

Jamie Rogers

Jay Rosenberger

Assistant Professor

Susan Ferreira

Li Zeng

Senior Lecturer

Bonnie Boardman

Graduate Advisors

Sheik Imrhan

Industrial Engineering, M.Engr.

Industrial Engineering, M.S.

Industrial Engineering, Ph.D.

Erick Jones

Logistics, M.S.

Donald Liles

Engineering Management, M.S.

Systems Engineering, M.S.

Department Information

Courses

 

Department Information

Programs in Industrial Engineering

Admission Criteria

Degree Requirements

Fast Track Program for a Master's Degree in Industrial Engineering

BS to PhD Program

Doctor of Philosophy

Program in Systems Engineering

Admission Criteria

Degree Requirements

Program in Engineering Management

Program in Logistics

 

Programs in Industrial Engineering

The graduate program in industrial engineering is designed to provide the student with fundamental knowledge in the various areas of industrial engineering and with the opportunity to emphasize in a particular area. A student pursuing a master's or doctoral degree may specialize in any area of industrial engineering such as General Industrial Engineering, Operations Research and Applied Statistics, Manufacturing Systems, Logistics, Enterprise Systems, Enterprise Management, and Ergonomics.

The Department also participates in a college-wide Manufacturing Certificate program. In addition, the Master of Science in Logistics Program and the Master of Science in Engineering Management Program are offered in partnership with the College of Business Administration. The Logistics and Engineering Management programs are discussed elsewhere in this catalog.

The Master of Science in Systems Engineering Program is discussed later in this section.

Admission Criteria

Applicants for the master's degree who hold a baccalaureate degree in engineering must meet the general requirements described below. Applicants not meeting all criteria may be admitted on a probationary basis.

For applicants with no prior training in engineering, the same minimum criteria will apply. In addition, their records will be reviewed in relation to the intended program of study, and specific remedial work may be required.

The acceptance of applicants who have already received a master's degree in engineering will be based on the above-mentioned minimum criteria and results of graduate work.

Performance on the GRE will not be the sole criterion for admitting applicants or the primary criterion to deny admission to either the master's or Ph.D. program. In cases where GRE performance is relatively poor all other qualifications presented by the applicant will be carefully evaluated for evidence of potential for success.

Unconditional Admission Criteria

Unconditional Admission into the M.S. and Ph.D. programs in Industrial Engineering is granted if all of the following conditions are met.

  • A GPA of at least 3.0 in the last 60 hours of undergraduate coursework.
  • A GPA of at least 3.0 in all prior graduate work for Masters students or a GPA of at least 3.3 in all prior graduate work for Ph.D. students.
  • A minimum score of 600 for Masters students or 700 for PhD students on the GRE Quantitative section and a minimum score of 400 for Masters students or 450 for Ph.D. students on the GRE Verbal section.
  • A minimum score of 500 on the handwritten TOEFL (213 on the computer-based version or 79 on the TOEFL iBT) if English is not the applicant's native language.
  • Adequate preparation in mathematics, science, and industrial engineering

 

Probationary Admission Criteria

Prospective students not meeting the conditions for unconditional admission may be granted probationary admission if their GPA is 2.6 or greater. Students granted probationary admission must achieve a GPA of at least 3.0 for the first 9 hours completed at UTA. Unconditional admission may then be granted. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.

Provisional Admission

An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.

Deferral

The admission decision is deferred if sufficient information is not available.

Denial

Prospective masters students with a GPA below 2.6 may be denied admission at the discretion of the Graduate Advisor. The Graduate Advisor may grant probationary admission if other factors suggest a potential for success in the graduate program. Prospective PhD students who are not unconditionally or provisionally admitted will be denied at the discretion of the graduate advisor.

Continuation

The Industrial Engineering Graduate Program, in fulfillment of its responsibility to graduate highly qualified professional engineers, has established certain policies and procedures. In addition to requirements of the Graduate School listed elsewhere, to continue in the program each industrial engineering graduate student must:

  1. Maintain at least a B (3.0) overall GPA in all coursework taken as a graduate student and in all IE courses taken , and
  2. Demonstrate suitability for professional engineering practice.

At such time as questions are raised by industrial engineering graduate faculty regarding either of the above, the student will be notified and will be provided the opportunity to respond to the Committee on Graduate Studies in Industrial Engineering. The Committee on Graduate Studies will review the student's performance and make a recommendation concerning the student's eligibility to continue in the program. Appeal of a decision on continuation may be made through normal procedures outlined in the section of this catalog entitled "Grievances Other than Grades."

Degree Requirements

Students with degrees in other engineering disciplines may qualify for graduate study in industrial engineering after the completion of prescribed deficiency courses. Entering graduate students who are not proficient in engineering economy, probability and statistics, operations research, or industrial engineering design and analysis may be required to take deficiency courses to provide an appropriate background for graduate study in industrial engineering. For applicants with no prior education in engineering, the same deficiency courses will apply. In addition, courses in mathematics, physics, computer science, and basic engineering may be required.

Each IE graduate student will be required to take six courses as part of an industrial engineering core curriculum. The rest of the student's program will be elective, subject to the approval of the student's supervisory committee. The core curriculum is as follows:

  1. Three hours of coursework in engineering statistics approved by the graduate advisor.
  2. Three hours of coursework in operations research approved by the graduate advisor.
  3. Three hours of coursework in engineering economy approved by the graduate advisor.
  4. Nine hours of industrial engineering design approved by the Graduate Advisor.

A final examination is required for each master's candidate. In the option involving a thesis, this final examination will be oral and will cover the thesis. The non-thesis final examination will be written.

Master of Science

The Master of Science Degree is a research-oriented program which consists of a thesis option, thesis-substitute option, and a non-thesis option. M.S. degree requirements are given under the catalog section entitled "Advanced Degrees and Requirements."

Master of Engineering

The Master of Engineering Degree is an engineering practice-oriented program. The degree is a 36 credit-hour program in which a maximum of six credit hours may be earned by an acceptable design project report, internship, or additional coursework. Applicants for this degree must have a baccalaureate degree in an engineering discipline. M.E. degree requirements are given under the catalog section entitled "Advanced Degrees and Requirements."

Fast Track Program for a Master's Degree in Industrial Engineering

The Fast Track Program enables outstanding UT Arlington senior undergraduate students in Industrial Engineering to satisfy degree requirements leading to a master's degree in Industrial Engineering while completing their undergraduate studies. When senior-level students are within 15 hours of completing their undergraduate degree requirements, they may take up to 9 hours of coursework designated by the Industrial Engineering Program to satisfy both undergraduate and graduate degree requirements. In the limiting case, a student completing the maximum allowable hours (9) while in undergraduate status would have to take only 27 additional hours to meet minimum requirements for graduation.

Interested UT Arlington undergraduate Industrial Engineering students should apply to the Industrial Engineering Program when they are within 30 hours of completing their bachelor's degrees. They must have completed at least 30 hours at UTA, achieving an overall GPA of 3.0 or better in all work done at UTA and in the last 30 hours. Additionally, they must have completed 9 hours of specified foundation courses with a minimum GPA of 3.3 in those courses. Contact the Undergraduate Advisor or Graduate Advisor in Industrial Engineering for more information about the program.

BS to PhD Program

The BS to PhD track in Industrial Engineering requires 30 credit hours including 18 hours of diagnostic coursework, a three credit hour elective and 9 credit hours of research coursework. This is in addition to the PhD requirements.

Doctor of Philosophy

The Ph.D. degree should normally require approximately four years or less of full-time study after completion of the BS degree. A student's program will consist coursework, independent study, and a dissertation in fields pertinent to the student's areas of interest. The program for each student will be planned by the student and a committee of faculty members. There is no foreign language requirement for the Ph.D. degree.

Students with undergraduate degrees in fields other than engineering will be required to take the necessary courses to establish a background in science, mathematics, and engineering. Ph.D. requirements are listed in the catalog section entitled "Advanced Degrees and Requirements."

Program in Systems Engineering

The Systems Engineering program is designed to provide students with both the fundamental and applied management and technical knowledge to support the development of complex systems. Systems Engineering is that branch of engineering that develops systems, where a system is a collection of elements that work together as a unit.

Systems Engineering considers the total systems life-cycle from customer requirements and concept through design and development, system use, system maintenance, and system disposal. A Systems Engineering curriculum must encourage a broad view rather than a focus on individual system elements or phases of development. This broad view, a systems view, enables better system performance and reduces the likelihood of unintended consequences.

Students may obtain a Master of Science in Systems Engineering and then pursue a PhD in Industrial Engineering with a focus on Systems Engineering.

Admission Criteria

Unconditional Admission

Unconditional admission into the M.S. Systems Engineering program is granted if all of the following conditions are met.

  • A GPA of at least 3.0 in the last 60 hours of undergraduate coursework or prior graduate work
  • A minimum score of 600 on the GRE Quantitative section and 400 on the GRE Verbal section
  • A minimum score of 500 on the handwritten TOEFL (213 on the computer-based version or 79 on the TOEFL iBT) if English is not the applicant's native language.
  • Adequate preparation in mathematics, science, and engineering, or other appropriate field.
  • A minimum of two years of industry experience

Probationary Admission Criteria

Prospective students who do not meet the conditions for unconditional admission are granted probationary admission if their GPA is 2.6 or greater. Students granted probationary admission must achieve a GPA of at least 3.0 for the first 9 hours completed at UTA. Unconditional admission may then be granted. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.

Provisional Admission

An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.

Deferral

The admission decision is deferred if sufficient information is not available.

Denial

Prospective students with a GPA below 2.6 may be denied admission at the discretion of the Graduate Advisor. The Graduate Advisor may grant probationary admission if other factors suggest a potential for success in the graduate program. Denial will not be based solely or primarily on GRE performance. In cases where test performance is relatively poor, all other qualifications presented by the applicant will be carefully evaluated for evidence of potential for success in the program.

Degree Requirements

The M.S. degree in Systems Engineering requires 36 hours of coursework. The coursework is in the Department of Industrial and Manufacturing Systems Engineering. The program includes such courses as:

Introduction to Systems Engineering
Systems Engineering I
Systems Engineering II
Systems Engineering III
Advanced Operations Research
Advanced Engineering Statistics
Simulation and Optimization
Enterprise Engineering Methods
Enterprise Architectures and Frameworks
Engineering Management I
Engineering Management II
Project Management
Advanced Engineering Economy
Management of Knowledge and Technology

Program in Engineering Management

The Engineering Management Program is offered as an interdisciplinary program that integrates engineering and business concepts. The curriculum prepares an experienced professional engineer or scientist for a leadership role in planning, developing and managing firm's technological resources including people, technology and processes. Graduates acquire an understanding how to use the technical base to accomplish the organization's operational, strategic and competitive objectives.

Admission

Applicants must hold a baccalaureate degree in science, mathematics, engineering or other appropriate field.

Unconditional Admission

Unconditional admission into the Engineering Management Program is granted if all of the following conditions are met.

  • A GPA of at least 3.0 in the last 60 hours of undergraduate coursework or and in all prior graduate work
  • A minimum score of 600 on the GRE quantitative section and 400 on the GRE verbal section
  • A minimum score of 500 on the handwritten TOEFL (213 on the computer-based version or 79 on the TOEFL iBT) if English is not the applicant's native language
  • Adequate preparation in mathematics, science, and engineering or other appropriate field. Industrial experience is preferred.
Probationary Admission Criteria

Prospective Engineering Management students not meeting the conditions for unconditional admission may be granted probationary admission if their GPA is 2.6 or greater. Students granted probationary admission must maintain a GPA of at least 3.0 for the first 9 hours completed at UT Arlington. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.

Provisional Admission

An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.

Deferral

The admission decision is deferred if insufficient information is available.

Denial

Prospective students with a GPA below 2.6 may be denied admission at the discretion of the Graduate Advisor. The Graduate Advisor may grant probationary admission if other factors suggest a potential for success in the graduate program.

Degree Requirements

The M.S. degree in Engineering Management requires 36 hours of coursework. The coursework is divided between the Department of Information Systems and Operations Management and the Department of Industrial and Manufacturing Systems Engineering. The program includes such courses as:

  • Accounting Analysis
  • Engineering Management
  • Engineering Economics
  • Management Sciences
  • Quality Management
  • Product Management
  • Project Management
  • Management of Knowledge and Technology
  • Simulation and Optimization
  • Technology Development and Deployment

Program in Logistics

The Logistics Program is designed to meet an increasing state, national, and international demand for professionals with technical or business education and experience in the area of logistics and supply chain. Such professionals will need a unique combination of technical and business knowledge and skills and will have technical experience and degrees in engineering, mathematics or business.

Logistics is an interdisciplinary field of study which comprises the entire set of functions associated with the flow of goods, information, and payments among suppliers and consumers from organization of raw material to final recycling or disposal of finished goods. The integration of engineering and business content is done in a fashion that prepares an experienced professional engineer or manager for a leadership role in planning, developing, implementing and managing the firm's logistics and supply chain capabilities in the global marketplace. The overall purpose of the Logistics Program at UT Arlington is to provide graduates with the understanding needed to manage the firm's logistics and supply chain systems and infrastructure and to accomplish the organization's operational, strategic and competitive objectives.

Admission

Unconditional Admission

Unconditional admission into the M.S. Logistics program is granted if all of the following conditions are met.

  • A GPA of at least 3.0 in the last 60 hours of undergraduate coursework or prior graduate work.
  • A minimum score of 600 on the GRE quantitative section and 400 on the GRE verbal section or 500 on the GMAT.
  • A minimum score of 500 on the handwritten TOEFL (213 on the computer-based version or 79 on the TOEFL iBT) if English is not the applicant's native language.
  • Adequate preparation in mathematics, science, and engineering or other appropriate field, and three years of experience.
Probationary Admission Criteria

Prospective students not meeting the conditions for unconditional admission may be granted probationary admission if their GPA is 2.6 or greater. Students granted probationary admission must maintain a GPA of at least 3.0 for the first 9 hours completed at UT Arlington. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.

Provisional Admission

An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.

Deferral

The admission decision is deferred if insufficient information is available.

Denial

Prospective students with a GPA below 2.6 may be denied admission at the discretion of the Graduate Advisor. The Graduate Advisor may grant probationary admission if other factors suggest a potential for success in the graduate program.

Degree Requirements

The M.S. degree in Logistics requires 36 hours of coursework. The coursework is divided between the Department of Industrial and Manufacturing Systems Engineering and the Department of Information Systems and Operations Management. The program includes such courses as:

  • Probability and Statistics
  • Operations Research
  • Production and Inventory Control
  • Production Systems Design
  • Enterprise Modeling
  • Logistics Information Systems
  • Logistics Transportation Systems Design
  • Logistics Distribution Systems Design
  • Business Logistics
  • Purchasing and Materials Management
  • Supply Chain Management Approved Electives

 

IE Courses

IE5191 – ADVANCED STUDIES IN INDUSTRIAL ENGINEERING

1 Lecture Hour  ·  0 Lab Hours

Individually approved research projects and reading courses in industrial engineering. Such individual studies will be graded A, B, C, D, F or X. Subject to the approval of the Graduate Advisor, IE 5191, 5291 and 5391 may be repeated as the topics change. In addition, work on a thesis substitute will be performed under IE 5391. In this case, IE 5391 is graded P/F/R.

 

IE5291 – ADVANCED STUDIES IN INDUSTRIAL ENGINEERING

2 Lecture Hours  ·  0 Lab Hours

Individually approved research projects and reading courses in industrial engineering. Such individual studies will be graded A, B, C, D, F or X. Subject to the approval of the Graduate Advisor, IE 5191, 5291 and 5391 may be repeated as the topics change. In addition, work on a thesis substitute will be performed under IE 5391. In this case, IE 5391 is graded P/F/R.

 

IE5300 – TOPICS IN INDUSTRIAL ENGINEERING

3 Lecture Hours  ·  0 Lab Hours

A study of selected topics in industrial engineering. May be repeated when topics vary. Prerequisite: consent of instructor and Graduate Advisor.

 

IE5301 – ADVANCED OPERATIONS RESEARCH

3 Lecture Hours  ·  0 Lab Hours

A survey of quantitative methods to develop modeling and decision-making skills. Topics include z-transforms and difference equations, Markov Chains, decision analysis techniques, goal programming, game theory, queuing theory and nonlinear programming. Prerequisites: Both IE 3301 and IE 3315 OR IE 5317 or equivalent.

 

IE5303 – QUALITY SYSTEMS

3 Lecture Hours  ·  0 Lab Hours

Principles and practices of industrial quality control. Topics include the Deming philosophy, process improvements, statistical process control, process capability analysis and product acceptance. Prerequisite: IE 3301, or IE 5317, or equivalent.

 

IE5304 – ADVANCED ENGINEERING ECONOMY

3 Lecture Hours  ·  0 Lab Hours

Analysis of capital investments in engineering and technical projects. Topics include decision analysis methods, cash flows, revenue requirements, activity-based analysis, multi-attribute decisions, probabilistic analysis and sensitivity/risk analysis. Prerequisite: graduate standing.

 

IE5305 – LINEAR PROGRAMMING

3 Lecture Hours  ·  0 Lab Hours

Theory and applications of linear programming including the simplex method, computational complexity, column generation and integer programming. Prerequisite: IE 3315 or IE 5317.

 

IE5306 – DYNAMIC OPTIMIZATION

3 Lecture Hours  ·  0 Lab Hours

Dynamic optimization methods including dynamic programming, the calculus of variations, and optimal control theory. Emphasis is on the modeling and solution of practical problems using these techniques. Prerequisites: IE 3301 and IE 3315, or IE 5317, or equivalent.

 

IE5307 – QUEUEING THEORY

3 Lecture Hours  ·  0 Lab Hours

The fundamentals of queueing theory including Markovian birth-death models, networks of queues, and general arrival and service distributions. Prerequisites: IE 3301 or IE 5317, or equivalent.

 

IE5309 – STOCHASTIC PROCESSES

3 Lecture Hours  ·  0 Lab Hours

The study of probabilistic model building including the fundamentals of both discrete and continuous Markov chains, queueing theory and renewal theory. Prerequisites: IE 3301 or IE 5317, or equivalent.

 

IE5310 – PRODUCTION SYSTEMS DESIGN

3 Lecture Hours  ·  0 Lab Hours

Methods for the design and analysis of manufacturing and logistics systems. Emphasis is placed on reducing cycle time, increasing throughput, lowering variation, and improving both quality and customer responsiveness through modeling techniques. Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent and IE 5329 or concurrent or equivalent.

 

IE5311 – DECISION ANALYSIS

3 Lecture Hours  ·  0 Lab Hours

A survey of methods for making optimal decisions. Topics include decision models, formal logic, fuzzy controls, statistical decision theory, game theory, multiobjective decisions, stochastic programming, information theory and qualitative aspects of the decisions. Prerequisites: IE 5301 or concurrent.

 

IE5312 – PLANNING AND CONTROL OF ENTERPRISE SYSTEMS

3 Lecture Hours  ·  0 Lab Hours

A continuation of IE 5329 covering enterprise resource planning systems (ERP) and other advanced production control techniques. Computer modeling is emphasized. Prerequisite: IE 5329

 

IE5313 – RELIABILITY AND ADVANCED QUALITY CONTROL TOPICS

3 Lecture Hours  ·  0 Lab Hours

Includes advanced quantitative topics in reliability design and quality control. Management of reliability and quality control functions are also included. Prerequisites: IE 4308 or IE 5303.

 

IE5314 – SAFETY ENGINEERING

3 Lecture Hours  ·  0 Lab Hours

Methods to identify, measure, analyze, and evaluate safety hazards in the workplace. Scientific and managerial methods to prevent or control safety hazards. Prerequisite: graduate standing.

 

IE5317 – INTRODUCTION TO STATISTICS AND OPERATIONS RESEARCH

3 Lecture Hours  ·  0 Lab Hours

Topics include descriptive statistics, set theory, combinatorics, mathematical expectation, probability distributions, confidence interval estimation, linear programming, the simplex and dual simplex algorithms, transportation and assignment problems, integer programming, and network analysis. Prerequisite: Math 2326 or equivalent and permission of advisor.

 

IE5318 – APPLIED REGRESSION ANALYSIS

3 Lecture Hours  ·  0 Lab Hours

An in-depth study of one predictor variable followed by the matrix approach to multiple linear regression. Topics include estimation, prediction, analysis of variance, residual analysis, transformations, multicollinearity, model selection, weighted least squares, ridge regression, and robust regression. Prerequisite: IE 3301 or IE 5317 or equivalent.

 

IE5319 – ADVANCED STATISTICAL PROCESS CONTROL AND TIME SERIES ANALYSIS

3 Lecture Hours  ·  0 Lab Hours

Design of control schemes for statistical monitoring and control of modern manufacturing systems. Topics include charts for process control, effect of autocorrelation on SPC charts, and sampling plans for acceptance inspection. Prerequisite: IE 3301 and IE 5303 or equivalent.

 

IE5320 – ENTERPRISE ENGINEERING METHODS

3 Lecture Hours  ·  0 Lab Hours

A survey of enterprise engineering methods. Topics include system development methodology, discussion of enterprise architectures, activity modeling, business modeling, activity-based performance analysis, and process improvement. Prerequisite: Graduate standing.

 

IE5321 – ENTERPRISE ANALYSIS AND DESIGN

3 Lecture Hours  ·  0 Lab Hours

An in-depth study of techniques useful for the analysis and design of the manufacturing enterprise. This course presents an advanced process description technique that is used, with simulation and activity based costing, to facilitate analysis and design. Prerequisites: IE 5320 and IE 5322, or concurrent enrollment.

 

IE5322 – SIMULATION AND OPTIMIZATION

3 Lecture Hours  ·  0 Lab Hours

An in-depth study of discrete event simulation theory and practice. Optimization and search techniques used in conjunction with simulation experiments are introduced. A commercial simulation software application is used. Prerequisite: IE 5317 or equivalent.

 

IE5326 – INDUSTRIAL BIOMECHANICS

3 Lecture Hours  ·  0 Lab Hours

The development and application of biomechanical models of physical work tasks, especially manual materials handling and hard-arm work activities. Prerequisite: Graduate Standing.

 

IE5329 – PRODUCTION AND INVENTORY CONTROL SYSTEMS

3 Lecture Hours  ·  0 Lab Hours

The fundamentals of production and inventory control systems. The economic impacts of fluctuating demand, supply availability and production rates are examined. Prerequisite: graduate standing.

 

IE5330 – AUTOMATION AND ADVANCED MANUFACTURING

2 Lecture Hours  ·  3 Lab Hours

The design of automated and advanced production processes for manufacturing. Topics include numerical control, robotics, group technology, just-in-time, automated inspection and flexible manufacturing systems. Prerequisite: graduate standing.

 

IE5331 – INDUSTRIAL ERGONOMICS

3 Lecture Hours  ·  0 Lab Hours

The analysis and design of physical work, workplace, and hand tools using ergonomic principles for enhancing performance, health, and safety. Work refers mainly to whole body and hand-arm activities, while workplace refers to industrial and computerized office environments. Applications focus on people's anthropometric, musculoskeletal and psychological characteristics. Prerequisite: Graduate standing.

 

IE5332 – NONLINEAR PROGRAMMING

3 Lecture Hours  ·  0 Lab Hours

Methods for nonlinear optimization including classical theory; gradient methods; sequential unconstrained methods; convex programming; genetic algorithms; simulated annealing; and separable, quadratic, and geometric programming. Prerequisite: graduate standing.

 

IE5333 – LOGISTICS TRANSPORTATION SYSTEMS DESIGN

3 Lecture Hours  ·  0 Lab Hours

The design and analysis of domestic and international transportation systems of people, processes, and technology. Topics include the role of transportation in the extended enterprise, transportation modeling and optimization techniques, value-added supply chain issues, and financial performance measures. Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent, and IE 5329 or concurrent, or equivalent.

 

IE5334 – LOGISTICS DISTRIBUTION SYSTEMS DESIGN

3 Lecture Hours  ·  0 Lab Hours

The design and analysis of distribution systems of people, processes and technology. The focus is on distribution, warehousing and material handling. Topics include the role of the warehouse in the extended enterprise, warehouse planning, process design, layout, equipment selection, workforce and workplace issues, and financial performance measures. Prerequisites: IE 5317 or equivalent, IE 5301 or concurrent, and IE 5329 or concurrent, or equivalent.

 

IE5335 – ADVANCED OCCUPATIONAL ENVIRONMENTAL HYGIENE ENGINEERING

3 Lecture Hours  ·  0 Lab Hours

Interaction of workers with physical environmental agents such as heat, cold, noise, vibration, illumination, radiation, and gravity. The design of work and the workplace to control environmental stresses, and their effects on workers' performance, health and safety. Prerequisite: graduate standing.

 

IE5338 – HUMAN ENGINEERING

2 Lecture Hours  ·  3 Lab Hours

Human structural, physiological, psychological, and cognitive capacities and limitations in the workplace, and their effects on the design of work systems to enhance productivity, and maintain health and safety. Prerequisite: IE 3301 or equivalent, or consent of instructor.

 

IE5339 – PRODUCT DESIGN, DEVELOPMENT, PRODUCIBILITY, AND RELIABILITY DESIGN

3 Lecture Hours  ·  0 Lab Hours

This course covers product development and engineering design process with a focus on collaborative design. Software, manufacturing, reliability, testing, logistical and product support considerations are emphasized. Prerequisite: graduate standing.

 

IE5342 – METRICS AND MEASUREMENT

3 Lecture Hours  ·  0 Lab Hours

Work measurement, methods improvements, and performance measurement. A survey of enterprise and management measurement systems is presented. Prerequisite: IE 5317 or equivalent.

 

IE5345 – MANAGEMENT OF KNOWLEDGE AND TECHNOLOGY

3 Lecture Hours  ·  0 Lab Hours

Review of contemporary issues in knowledge management, databases, decision support systems, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, data mining, knowledge transfer, and collaborative development. Prerequisite: graduate standing.

 

IE5346 – TECHNOLOGY DEVELOPMENT AND DEPLOYMENT

3 Lecture Hours  ·  0 Lab Hours

Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration. Prerequisite: graduate standing.

 

IE5350 – GRADUATE DESIGN CAPSTONE

3 Lecture Hours  ·  0 Lab Hours

Practicum in Industrial Engineering techniques consisting of professional level experience in a relevant company, agency, or institution. This technical experience is directed by a supervising professor and requires the writing of a professional report. Prerequisite: 24 hours of graduate work in Industrial Engineering.

 

IE5351 – INTRODUCTION TO SYSTEMS ENGINEERING

3 Lecture Hours  ·  0 Lab Hours

This course includes a survey of concepts, principles and processes required to engineer complex systems throughout the life-cycle from concept through disposal. Prerequisite: graduate standing and permission of advisor.

 

IE5352 – SYSTEMS ENGINEERING I

3 Lecture Hours  ·  0 Lab Hours

A study of systems engineering topics including technical planning and management, supply processes, requirements definition and analysis, functional analysis, and trade-off analysis. Prerequisite IE 5351.

 

IE5353 – SYSTEMS ENGINEERING II

3 Lecture Hours  ·  0 Lab Hours

A continuation of IE 5352. Topics include risk management, systems design and implementation, acquisition processes, assessment and control, earned value management, technical process management, and enabling products. Prerequisite: IE 5352.

 

IE5354 – SYSTEMS ENGINEERING III

3 Lecture Hours  ·  0 Lab Hours

A continuation of IE 5353. Topics include system verification, validation and transition to use, specialty engineering, improving SE processes, SE and relationships to international programs, object oriented systems engineering and configuration management. A comprehensive student project it required. Prerequisite IE 5353.

 

IE5391 – ADVANCED STUDIES IN INDUSTRIAL ENGINEERING

3 Lecture Hours  ·  0 Lab Hours

Individually approved research projects and reading courses in industrial engineering. Such individual studies will be graded A, B, C, D, F or X. Subject to the approval of the Graduate Advisor, IE 5191, 5291 and 5391 may be repeated as the topics change. In addition, work on a thesis substitute will be performed under IE 5391. In this case, IE 5391 is graded P/F/R.

 

IE5398 – THESIS

3 Lecture Hours  ·  0 Lab Hours

Graded F, R.

 

IE5698 – THESIS

6 Lecture Hours  ·  0 Lab Hours

Graded P, F, R.

 

IE6197 – RESEARCH IN INDUSTRIAL ENGINEERING

1 Lecture Hour  ·  0 Lab Hours

Supervised research projects directed toward the dissertation. Graded P, R, F.

 

IE6297 – RESEARCH IN INDUSTRIAL ENGINEERING

2 Lecture Hours  ·  0 Lab Hours

Supervised research projects directed toward the dissertation. Graded P, R, F.

 

IE6301 – ENTERPRISE ARCHITECTURES AND FRAMEWORKS

3 Lecture Hours  ·  0 Lab Hours

A survey of enterprise architectures and analysis frameworks that have been proposed for the integration of large complex enterprise systems. Emphasis is placed on state-of-the-art approaches. Prerequisite: IE 5320.

 

IE6302 – FACILITIES PLANNING AND DESIGN

3 Lecture Hours  ·  0 Lab Hours

Facilities planning through layout design. Product flow, space-activity relationships, personnel requirements, and material handling are considered, as well as receiving, shipping, warehousing, and integration with manufacturing. Facilities planning models are explored. Prerequisite: IE 5317 or equivalent, IE 5301 or concurrent, and IE 5329, or concurrent or equivalent.

 

IE6303 – COMBINATORIAL OPTIMIZATION

3 Lecture Hours  ·  0 Lab Hours

A survey of problems and algorithms in combinational optimization. Topics include shortest paths, minimum-weight spanning trees, matroids, matchings, optimal assignments and set packing. Prerequisite: IE 5305 or consent of instructor.

 

IE6305 – ENGINEERING MANAGEMENT I

3 Lecture Hours  ·  0 Lab Hours

The management of the engineering function in high-technology industry with principal emphasis on the historical development of industrial management principles, decision-making and planning. Prerequisite: Graduate standing.

 

IE6306 – ENGINEERING MANAGEMENT II

3 Lecture Hours  ·  0 Lab Hours

The management of the engineering function in high-technology industry with principal emphasis on human resources and staffing, directing and leading, and controlling. Prerequisite: IE 6305.

 

IE6308 – DESIGN OF EXPERIMENTS

3 Lecture Hours  ·  0 Lab Hours

Introduction to statistical design and analysis of experiments with applications from engineering, health care and business. Analysis includes analysis of variance, multiple comparisons and model adequacy. Designs include complete factorial, complete block, incomplete block, Latin square, Youden, two-level fractional factorial and hierachically nested. Prerequisite: IE 5318 or consent of instructor.

 

IE6309 – RESPONSE SURFACE METHODOLOGY AND COMPUTER EXPERIMENTS

3 Lecture Hours  ·  0 Lab Hours

Empirical model building and process optimization using experimental design and statistical modeling. The first half of the course covers first and second order models and designs, multiresponse experiments and mixture experiments. The second half introduces designs based on Latin hypercubes, orghogonal arrays, and number-based theoretic methods, plus models using kriging, multivariate adaptive regression splines and neural networks. Prerequisite: IE 6308.

 

IE6310 – INDUSTRIAL APPLICATIONS

2 Lecture Hours  ·  3 Lab Hours

Project oriented course focusing on the requirements and selection criteria for the integration of technology into simple and complex industrial activities. Prerequisite: IE 5330

 

IE6397 – RESEARCH IN INDUSTRIAL ENGINEERING

3 Lecture Hours  ·  0 Lab Hours

Supervised research projects directed toward the dissertation. Graded P, R, F.

 

IE6399 – DISSERTATION

3 Lecture Hours  ·  0 Lab Hours

Graded F, R.

 

IE6697 – RESEARCH IN INDUSTRIAL ENGINEERING

6 Lecture Hours  ·  0 Lab Hours

Supervised research projects directed toward the dissertation. Graded P, R, F.

 

IE6699 – DISSERTATION

6 Lecture Hours  ·  0 Lab Hours

Graded F, R, P, W.

 

IE6997 – RESEARCH IN INDUSTRIAL ENGINEERING

9 Lecture Hours  ·  0 Lab Hours

Supervised research projects directed toward the dissertation. Graded P, R, F.

 

IE6999 – DISSERTATION

9 Lecture Hours  ·  0 Lab Hours

Graded P, F, R.

 

IE7399 – DOCTORAL DEGREE COMPLETION

3 Lecture Hours  ·  0 Lab Hours

This course may be taken during the semester in which a student expects to complete all requirements for the doctoral degree and graduate. Enrolling in this course meets minimum enrollment requirements for graduation, for holding fellowships awarded by The Office of Graduate Studies and for full-time GTA or GRA positions. Students should verify that enrollment in this course meets other applicable enrollment requirements. To remain eligible in their final semester of study for grants, loans or other forms of financial aid administered by the Financial Aid Office must enroll in a minimum of 5 hours as required by the Office of Financial Aid. Other funding sources may also require more than 3-hours of enrollment. Additional hours may also be required to meet to requirements set by immigration law or by the policies of the student's degree program. Students should contact the Financial Aid Office, other sources of funding, Office of International Education and/or their graduate advisor to verify enrollment requirements before registering for this course. This course may only be taken once and may not be repeated. Students who do not complete all graduation requirements while enrolled in this course must enroll in a minimum of 6 dissertation hours (6699 or 6999) in their graduation term. Graded P/F/R.