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The University of Texas at Arlington
Graduate Catalog 2002-2004

Department of Industrial and Manufacturing Systems Engineering
Admission Criteria | Continuation | Degree Requirements | Courses

Area of Study and Degrees

Industrial Engineering

M.S., M.Engr., Ph.D.

Master's Degree Plans

Thesis, Thesis Substitute and Non-Thesis


D.H. Liles

420 Woolf Hall, 817-272-3092

Graduate Advisor

H.W. Corley

420 Woolf Hall, 817-272-3092

Graduate Faculty


Corley, Liles,

Priest, Stevens

Associate Professors

Huff, Imrhan, Rogers

Assistant Professor



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 specialize in a particular area. A student pursuing a master's or doctoral degree may specialize in an area of industrial engineering such as General Industrial Engineering, Operations Research and Applied Statistics, Manufacturing Systems, Logistics, Enterprise Systems, and Enterprise Management.

The Department participates in a college-wide Manufacturing Certificate program. Also, the Master's of Logistics program and the Master's of Engineering Management Program are offered in partnership with the College of Business Administration. The department offers the Electronic Enterprise Certificate and the Digital Society Certificate programs in partnership with the College of Business Administration. The Logistics and Engineering Management Programs and the certificate programs are discussed elsewhere in this catalog.

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 provisional or 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.


Unconditional Admission

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

Probationary Admission

Prospective students who do not meet 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 12 hours completed at UTA. Other conditions, such as deficiency courses, may be specified by the Graduate Advisor.


The admission decision is deferred if insufficient information is available.


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.


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, 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 training in engineering, the same deficiency courses will apply. In addition, courses in mathematics, physics, computer science, and engineering science may be required.

Each 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 probability and 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 covering the coursework is required for each master's candidate. In the option involving a thesis, this final examination will be oral and will also cover the thesis. The final examination involved in the other two options will be written and/or oral.

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.

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.

General degree requirements for the Master of Engineering are given under the catalog section entitled "Advanced Degrees and Requirements."

Doctor of Philosophy

The Ph.D. degree should normally require four years of full-time study or less after completion of the BS degree. There is no foreign language requirement for the Ph.D. degree.

The Ph.D. requirements are listed in the catalog section entitled "Advanced Degrees and Requirements." A student's program will consist of 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. 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 the engineering courses equivalent to that required in the undergraduate program.

The grade of R (research in progress) is a permanent grade; it cannot be changed by completing course requirements in a later semester. To receive credit for an R-graded course, the student must continue to enroll in the course until a passing grade is received.

An incomplete grade (the grade of X) cannot be given in a course that is graded R, nor can the grade of R be given in a course that is graded X. To receive credit for a course in which the student earned an X, the student must complete the course requirements. A grade of X cannot be changed by enrolling again in the course in which an X was earned. At the discretion of the instructor, a final grade can be assigned through a change of grade form.

Three-hour thesis courses and three- and six-hour dissertation courses are graded R/F/W only (except social work thesis courses). The grade of P (required for degree completion for students enrolled in thesis or dissertation programs) can be earned only in six- or nine-hour thesis courses and nine-hour dissertation courses. In the course listings below, R-graded courses are designated either "Graded P/F/R" or "Graded R." Occasionally, the valid grades for a course change. Students should consult the appropriate Graduate Advisor or instructor for valid grade information for particular courses. (See also the sections titled "R" Grade, Credit for Research, Internship, Thesis or Dissertation Courses and Incomplete Grade in this catalog.)

Industrial Engineering (IE)

Course fee information is published in the online Student Schedule of Classes at Please refer to this Web site for a detailed listing of specific course fees.

5300. TOPICS IN INDUSTRIAL ENGINEERING (3-0). A study of selected topics in industrial engineering. May be repeated when topics vary. Prerequisite: consent of instructor and Graduate Advisor.

5301. ADVANCED OPERATIONS RESEARCH (3-0). 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. Prerequisite: IE 3301 and 3315 or equivalent.

5303. QUALITY SYSTEMS (3-0). Principles and practices of industrial quality control. Topics include the Deming philosophy, process analysis and design, statistical process control, process capability analysis, QFD, ISO 9000, and product acceptance. Prerequisite: IE 3301 or equivalent.

5304. ENGINEERING ECONOMY II (3-0). Probabilistic cash flow models and the use of simulation for the evaluation of capital investments. Prerequisite: graduate standing.

5305. LINEAR PROGRAMMING (3-0). Theory and applications of linear programming including the simplex method, Karmarker's algorithm, computational complexity, integer programming, and goal programming. Prerequisite: graduate standing.

5306. DYNAMIC OPTIMIZATION (3-0). 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. Prerequisite: IE 5318 or concurrent.

5307. QUEUING THEORY (3-0). The fundamentals of queuing theory including Markovian birth-death models, networks of queues, and general arrival and service distributions. Prerequisite: IE 5318 or concurrent.

5309. STOCHASTIC PROCESSES (3-0). The study of probabilistic model building including the fundamentals of both discrete and continuous Markov chains, queuing theory, and renewal theory. Prerequisite: IE 5318 or concurrent.

5310. PRODUCTION SYSTEMS DESIGN (3-0). 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 5301 and 5329 or equivalent.

5311. DECISION ANALYSIS (3-0). A study of methods for making rational decisions. Topics include decision models, statistical decision theory, game theory, formal logic, fuzzy sets, information theory, and qualitative aspects of the decision-making process. Prerequisite: IE 5318 or concurrent.

5312. PLANNING AND CONTROL OF ENTERPRISE SYSTEMS (3-0). A continuation of IE 5329 covering enterprise resource planning systems (ERP) and other advanced production control techniques. Computer modeling is emphasized. Prerequisite: IE 5329.

5313. RELIABILITY AND ADVANCED QUALITY CONTROL TOPICS (3-0). Includes advanced quantitative topics in reliability design and quality control. Management of reliability and quality control functions are also included. Prerequisite: IE 4308 or 5303.

5314. SAFETY ENGINEERING (3-0). 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.

5315. OVERVIEW OF eENTERPRISES (3-0). This course explores the use of digital technologies in societies, industry, and business. The highly dynamic and rapidly expanding digital society is viewed from multiple perspectives. An integrative overview of fundamental elements is gained through readings, presentations, guest speakers, demonstrations, and assignments. Prerequisite: graduate standing.

5316. eENTERPRISE SYSTEMS (3-0). Basic concepts and characteristics of hardware, database, and software technologies are presented, and innovative uses of computers are explored. A variety of communication technologies and network structures are examined. Various forms and uses of data repositories are studied. Prerequisite: IE 5315 or consent of the graduate advisor.

5318. ADVANCED ENGINEERING STATISTICS (3-0). Regression analysis and the analysis of variance with an emphasis on computer applications using SAS and Statistica. Regression topics include model development, hypothesis testing, confidence interval estimation, variable selection, and regression diagnostics. ANOVA topics include: completely randomized, randomized, latin square, and factorial experimental designs and nonparametric statistical techniques. Prerequisite: IE 3301 or equivalent.

5319. ADVANCED STATISTICAL PROCESS CONTROL AND TIME SERIES ANALYSIS (3-0). Design of control schemes for statistical monitoring and control of modern manufacturing systems. Topics include effect of autocorrelization on SPC charts. Time Series approaches to controlling autocorrelated data, Optimal controllers and Recursive estimation. Prerequisite: IE 5303 or equivalent.

5320. ENTERPRISE ENGINEERING METHODS (3-0). A survey of enterprise engineering methods. Topics include a system development methodology, a discussion of enterprise architectures, activity modeling, business modeling, activity based performance analysis, simulation, and process improvement. Prerequisite: IE 5303.

5321. ENTERPRISE ANALYSIS AND DESIGN (3-0). An in-depth study of techniques useful for the analysis and design of the manufacturing enterprise. This course presents an advanced process description technique which is used, with simulation and activity based costing, to facilitate analysis and design. Prerequisite: IE 5320 and 5322 or concurrent.

5322. SIMULATION AND OPTIMIZATION (3-0). 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 5318 or concurrent.

5326. INDUSTRIAL BIOMECHANICS (3-0). The development and application of biomechanical models of physical work tasks, especially manual materials handling and hard-arm work activities. Prerequisite: IE 4344 or 5338 or consent of instructor.

5329. PRODUCTION AND INVENTORY CONTROL SYSTEMS (3-0). The fundamentals of production and inventory control systems. The economic impacts of fluctuating demand, supply availability, and production rates are examined. Prerequisite: IE 5318 or concurrent.

5330. AUTOMATION AND ADVANCED MANUFACTURING (3-0). 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.

5331. INDUSTRIAL ERGONOMICS (3-0). 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: IE 4344 or 5338 or consent of instructor.

5332. NONLINEAR PROGRAMMING (3-0). 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.

5333. LOGISTICS TRANSPORTATION SYSTEMS DESIGN (3-0). 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 3301, 5301 or concurrent, and 5329 or concurrent, or equivalent.

5334. LOGISTICS DISTRIBUTION SYSTEMS DESIGN (3-0). 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 3301, IE 5301 or concurrent enrollment, or equivalent.

5335. ADVANCED OCCUPATIONAL ENVIRONMENTAL HYGIENE ENGINEERING (3-0). 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: IE 4344 or graduate standing.

5338. HUMAN ENGINEERING (3-0). 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 consent of instructor, or graduate standing.

5339. PRODUCT DESIGN, DEVELOPMENT, PRODUCIBILITY, AND RELIABILITY DESIGN (3-0). 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.

5342. METRICS AND MEASUREMENT (2-3). Work measurement, methods improvements, and performance measurement. A survey of enterprise and management measurement systems is presented. Prerequisite: IE 3343 or equivalent.

5345. MANAGEMENT OF KNOWLEDGE AND TECHNOLOGY (3-0). 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.

5346. TECHNOLOGY DEVELOPMENT AND DEPLOYMENT (3-0). Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, engineering management based projects, technological competitiveness, technology alliances, and collaboration. Prerequisite: graduate standing.

5350. GRADUATE DESIGN CAPSTONE (3-0). 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.

5191, 5291, 5391. ADVANCED STUDIES IN INDUSTRIAL ENGINEERING. Individually approved research projects selected from the various branches of industrial engineering. Work performed as a thesis substitute normally will be accomplished under IE 5391, with prior approval of the Industrial Engineering Committee on Graduate Studies. Graded R.

5398, 5698. THESIS. 5398 graded R/F only; 5698 graded P/F/R. Prerequisite: graduate standing in industrial engineering.

6197-6997. RESEARCH IN INDUSTRIAL ENGINEERING. Supervised research projects directed toward the dissertation. Prerequisites: graduate standing in industrial engineering and approval of advisor. Graded P/F/R.

6301. ENTERPRISE ARCHITECTURES AND FRAMEWORKS (3-0). 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.

6302. FACILITIES PLANNING AND DESIGN (3-0). 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. Prerequisites: IE 3343, 5301, and 5329 or equivalent.

6303. COMBINATORIAL ANALYSIS (3-0). Discrete combinatorial methods including permutations and combinations, recurrence relations, generating functions, the principle of inclusion and exclusion, Polya theory, and Ramsey theory. Applications in computer science, graph theory, and probability are presented. Prerequisite: graduate standing.

6305. ENGINEERING MANAGEMENT I (3-0). 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.

6306. ENGINEERING MANAGEMENT II (3-0). 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 or consent of instructor.

6308. DESIGN OF EXPERIMENTS FOR QUALITY (3-0). Statistical designs are studied for industrial process and product improvement. Fractional factorial, central composite, and customized designs are included. Prerequisite: IE 5318 or consent of instructor.

6309. RESPONSE SURFACE METHODOLOGY (3-0). Empirical model building and process optimization using experimental design. Topics include first and second order models and designs, multiresponse experiments and mixture experiments. Prerequisite: IE 6308.

6310. INDUSTRIAL ROBOT APPLICATIONS (3-0). A study of the requirements and selection criteria for the integration of robots into simple and complex industrial activities. Prerequisite: graduate standing.

6399, 6699, 6999. DISSERTATION. 6399 and 6699 graded R/F only; 6999 graded P/F/R.

A limited number of undergraduate courses may be applicable toward the graduate program if approved in advance by the Graduate Advisor.


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