Graduate Catalog

2012-2013

INDUSTRIAL ENGINEERING

Department website: http://ie.nmsu.edu/

(575) 646-4923

ie@nmsu.edu

E. Pines, department head, Ph.D. (Penn State) – quality and continuous improvement, technology policy; H. Sohn, Ph.D. (University of Iowa) – operations research, discrete optimization, network design; J. Mullen, Ph.D. (Iowa State) – stochastic processes, quality, improvement, production system design; D. J. Valles-Rosales, Ph.D. (New Mexico State) – manufacturing systems, soft computing technologies, computer integrated manufacturing; Yu-Li Huang, Ph.D. (Michigan) – health care delivery systems, operations research, operations management; Alla Kammerdiner, Ph.D. (University of Florida) – statistical analysis, data mining, network science and combinatorial optimization

DEGREE: Master of Science in Industrial Engineering

DEGREE: Doctor of Philosophy
MAJOR: Engineering
CONCENTRATION: Industrial Engineering

The Department of Industrial Engineering offers graduate work leading to the degrees of Master of Science in Industrial Engineering and Doctor of Philosophy with specialization in industrial engineering. Areas of emphasis include computer modeling, operations research and systems engineering, manufacturing systems, quality, and reliability engineering.

Departmental admission requirements in addition to those of the Graduate School must be considered on an individual basis because of the diversity of backgrounds of applicants in the program. An applicant should meet or correspond directly with the department as a first step in determining his or her specific admission status. Applicants should present mathematics preparation equivalent to 9 credits of calculus for engineers, 3 credits of differential equations, and 3 credits of calculus-based probability and statistics.

Minimum credit-hour requirements for the master's degree may be met in any of the following ways: (1) 24 semester credits approved course work and 6 semester credits of thesis (I E 599) for a total of 30 semester credits, (2) 27 semester credits approved course work and 3 semester credits of project (I E 598) for a total of 30 semester credits, or (3) 30 semester credits of approved course work. Approved course work must meet all requirements of the Graduate School, represent a consistent master's program in relation to a student's graduate study goals as determined through consultation with the graduate program adviser, and be approved by a program committee of the graduate faculty of the department. Programs in the focus areas of engineering management, computer modeling, operations research, or manufacturing engineering can be developed with the aid of a faculty advisor.

Departmental facilities and equipment are available to support research efforts of graduate students, including computer terminals and laboratories. In addition to departmental facilities, supporting facilities such as the Manufacturing Technology and Engineering Center and five interdisciplinary Research Clusters are available for research work.

The Ph.D. program is research oriented with the final product being the dissertation. The general information chapter in this catalog describes the Ph.D. The program in industrial engineering also includes the following additions: the course work must include at least 12 credits at the 500 level in a related field, 6 credits of 600-level research courses covering two areas, and 18 credits of 700-level courses following successful completion of the comprehensive examination. The department does not have any foreign language or research tool requirements. Interested individuals should correspond directly with the department to determine eligibility for admission.

INDUSTRIAL ENGINEERING

I E 451. Engineering Economy 3 cr.

Discounted cash flows, economics of project, contract and specifications as related to engineering design. Same as CH E 451.

I E 453. Leadership and Motivation 3 cr.

Theories of leadership and motivation. Motivational programs for complex organizations. Relationships between organizational power, authority, and management styles. Prerequisite: MGT 309 or consent of instructor. Same as MGT 453.

I E 460. Evaluation of Engineering Data 3 cr.

Analysis of engineering systems possessing variability, employing regression, analysis of variance, distribution theory, and experimental design methods. Prerequisite: I E 311 or equivalent.

I E 466. Reliability 3 cr.

Application of statistical theory to engineering reliability estimation, reliability improvement, and the analysis of reliability test data. Prerequisite: I E 311 or equivalent.

I E 467. Discrete-Event Simulation Modeling 4 cr.

Basic modeling concepts, organizations of simulations, input data analysis, random variate generation, simulation design and analysis, model validation, output analysis, and management of simulations. Differentiated graduate assignments. Prerequisite: I E 311 or equivalent. Same as I E 567.

I E 468. Advanced Discrete-Event Simulation Applications 3 cr.

Semester long project involving development and application of advanced simulation skills. Prerequisite: I E 467. Same as I E 568.

I E 477. Ergonomics in Manufacturing Systems 3 cr.

Ergonomic analysis applied to manufacturing engineering environment. Covers: task analysis, workplace assessment and design, computer-integrated manufacturing, and legal/regulatory issues in manufacturing task and workplace design.

I E 478. Facilities Planning and Design 3 cr.

Plant location methods, total process analysis, process integration, materials handling analysis, and traditional and computerized plant layout methodologies. Prerequisite: I E 316. Corequisite: I E 424.

I E 479. Integrated Manufacturing 3 cr.

Automated process planning as a link between CAD and CAM. Emphasis on information flows and modeling concepts, design data analysis, feature recognition and generative planning. Prerequisite: knowledge of a programming language or consent of instructor. Same as I E 579.

I E 480. Senior Design 3 cr. (2+3P)

Multi-disciplinary team design project for external clients. Involves semester long activities including major design report and presentation. Prerequisites: senior standing, I E 467.

I E 490. Selected Topics 1-3 cr.

Prerequisite: consent of the head of the department. May be repeated for a maximum of 9 credits.

I E 505. Directed Readings 1-3 cr.

Prerequisite: consent of the head of the department. May be repeated for a maximum total of 6 credits.

I E 511. Survey of Industrial Engineering 3 cr.

A project-based course covering methods of engineering, plant layout, production and inventory control, and economic analysis.

I E 515. Stochastic Processes Modeling 3 cr.

Introduction to the use of stochastic processes in the modeling of physical and natural systems. Use of generating functions, conditional probability and expectation, Poisson processes, random walk models, Markov chains, branching processes, Markov processes, and queuing processes in an applied setting. Prerequisites: I E 311 or equivalent; and MATH 392 or equivalent.

I E 522. Queuing Systems 3 cr.

Elements and classification of queuing systems, single server models, multi-server models, cost analysis and applications. Prerequisite: I E 311 or equivalent.

I E 523. Advanced Engineering Economy 3 cr.

Theoretical basis for engineering economy methods, problems of cost estimation, replacement, nonmonetary factors, and feasibility studies. Same as C E 523.

I E 524. Advanced Production and Inventory Control 3 cr.

Organization and functions of manufacturing planning and control systems including forecasting, MRP, capacity planning, JIT systems, scheduling and inventory control. Same as I E 424 with differentiated assignments.

I E 525. Systems Synthesis and Design 3 cr.

Examination of the production management complex in terms of its components and the synthesis of these components into an effective operating unit. Development of input-output models representing the basis structure of all production activities.

I E 530. Environmental Management Seminar 1 cr.

Same as C E 530, E E 530, CH E 530.

I E 531. Fundamentals of Operations Research Techniques 3 cr.

Key concepts, terminology, paradigms, and methods of operations research: Linear programming including assignment and transportation algorithms; stochastic analysis, including inventory control and queuing systems; general approaches, including goal, integer, nonlinear and dynamic programming.

I E 533. Linear Programming 3 cr.

Linear programming problem formulation, simplex algorithm, theory of linear programming, duality, revised simplex algorithm, and sensitivity analysis.

I E 534. Nonlinear Programming 3 cr.

Theoretical and computational methods to solve optimization problems in engineering, statistics, economics, and operations research. Topics include convexity, optimality conditions, Newton's method, Lagrange multipliers, search algorithms for unconstrained and constrained problems, as well as barrier and penalty methods. Prerequisite: MATH 192G or equivalent

I E 535. Discrete Optimization 3 cr.

Combinatorial Optimization problems using both integer programming and graph theoretic approaches. Emphasis on modeling and computational algorithms.

I E 537. Large Scale Systems Engineering 3 cr.

Systems engineering approaches to large-scale complex technological and societal problems. Concepts of interaction and structural graphs, matrices, delta, and Gantt charts. The hall matrix approach, structural concepts, reachability matrices, and cross impact-analysis, modeling and decision making.

I E 539. Fundamentals of Transportation and Routing in Logistics 3 cr.

Introduction to the conceptual, methodological, and mathematical foundations of transportation and routing problems in logistics system. Emphasis on mathematical modeling and computational algorithms.

I E 545. Characterizing Time-Dependent Engineering Data 3 cr.

Theory and techniques employed in the characterization of stochastic processes commonly found in engineering applications. Distribution models include exponential, gamma, Weibull, and extreme value. Design and analysis of experiments involving complete and censored data and elevated stress. Analytical techniques include parametric, nonparametric, and graphical approaches with emphasis on modern computer tools. Exact and approximate maximum-likelihood techniques are stressed. Prerequisite: I E 311 or equivalent.

I E 550. Environmental Management Seminar II 1 cr.

Survey of practical and new developments in hazardous and radioactive waste management provided through a series of guest lectures and reports of ongoing research. Same as WERC 550.

I E 561. Advanced Safety Engineering 3 cr.

Regulation as well as qualitative, and quantitative methods to achieve and maintain safety in the workplace. Includes liability, worker s compensation, OSHA, hazard control, safety assessment, cost justification, and system analysis. Prerequisite: graduate status in engineering.

I E 563. Topics in Engineering Administration 3 cr.

Study of qualitative and quantitative aspects. Consideration given to philosophical, psychological, political and social implications of engineering administrative decisions.

I E 567. Design and Implementation of Discrete-Event Simulation 3 cr.

Basic modeling concepts, organizations of simulations, input data analysis, random variate generation, simulation design and analysis, model validation, output analysis, and management of simulations. Taught with I E 467 with differentiated assignments for graduate students.

I E 569. Stochastic Simulation Concepts and Techniques 3 cr.

Key computational and stochastic aspects of discrete-event simulation. Topics include selecting and using pseudo random number generators, estimating the value of intractable mathematical expressions, dealing with variation and uncertainty in models, dealing with autocorrelation, determining the precision of simulation results and how to improve simulation efficiency and effectiveness. This course is intended for engineering graduate students with a background in probability, statistics, and design of experiments. While beneficial to graduate students who wish to extend their current abilities in simulation, it presumes no prior knowledge of simulation modeling or simulation languages.

I E 571. Advanced Quality Control 3 cr.

Advanced topics in quality control and design of experiments for improvement of quality. Prerequisite: I E 311 or equivalent.

I E 575. Advanced Manufacturing Processes 3 cr.

Covers major process parameters in casting, forming, machining, and joining. Process economics and selection of processes design and interactions. Prerequisite: graduate standing.

I E 577. Ergonomics in Manufacturing Systems 3 cr.

Ergonomic analysis applied to manufacturing engineering environment. Covers: task analysis, workplace assessment and design, computer-integrated manufacturing, and legal/regulatory issues in manufacturing task and workplace design. Same as I E 477 with differentiated assignments for graduate students.

I E 579. Integrated Manufacturing 3 cr.

Study of automated process planning as a link between CAD and CAM. Emphasis on information flows and modeling concepts, design data analysis, feature recognition and generative planning. Prerequisite: knowledge of a programming language or consent of instructor. Same as I E 479 with differentiated assignments for graduate students.

I E 590. Selected Topics 1-3 cr.

Prerequisite: consent of the head of the department. May be repeated for a maximum of 9 credits.

I E 598. Special Research Programs 1-3 cr.

Individual analytical or experimental investigations. May be repeated for a maximum total of 6 credits. Prerequisite: consent of instructor.

I E 599. Master's Thesis 0-88 cr.

Thesis.

I E 610. Topics in Operations Research 3 cr.

Selected topics of current interest, to be designated by subtitle. May be repeated for a maximum of 6 credits.

I E 620. Topics in Computer Modeling 3 cr.

Selected topics of current interest, to be designated by subtitle. May be repeated for a maximum of 6 credits.

I E 630. Topics in Engineering Management 3 cr.

Selected topics of current interest, to be designated by subtitle. May be repeated for a maximum of 6 credits.

I E 690. Selected Topics 1-88 cr.

May be repeated. Prerequisite: consent of department head.

I E 700. Doctoral Dissertation 0-88 cr.

Dissertation.