|Industrial and Systems Engineering 540
Work Design and Ergonomics (3)
Man-machine analysis, motion economy, time study, predetermined time systems, work sampling; introduction to robotics, facilities layout, material handling; introduction to ergonomics and anthropometric, biomechanical, and human-machine interface models.
Work Design and Ergonomics Laboratory (1)
Experiments in robotics, time study, work measurement, workplace design and the human-machine interface, facilities layout.
Engineering Probability (3)
Probability problems in engineering, conditional probability, discrete and continuous distributions, functions of random variables, interval estimates.
Prerequisites: 01:640:144 or 152 or 154 or 192 or 21:640:136 or 50:640:122.
Industrial Engineering Laboratory (1)
Introduction to programming, fundamental data types, flow control, and functions; arrays, pointers, and do loops; algorithms and flow charts; GUI concepts.
Manufacturing Processes (3)
Properties of engineering materials; metals, polymers, ceramics and composites, bulk and sheet forming, traditional and nontraditional material removal processes, polymer processing, laser and energy-beam processes, additive layered manufacturing processes, and micro- and nanofabrication processes. Basic and computerized machine tools. Process chains, planning and process optimization. Engineering metrology and product quality.
Prerequisites: 14:440:221, 14:635:407. Corequisite: 14:540:304.
Manufacturing Processes Laboratory (1)
Experiments on machine tools: lathes, drilling machines, milling machines, and CNC milling machines; robot workplace design and computer control of machine tools.
Honors Candidacy Problems (0,0)
Extensive reading and study in a particular problem area of industrial engineering under the guidance of a faculty member.
Prerequisite: Permission of department chair. Prerequisite for industrial engineering students who wish to be James J. Slade Scholars.
Deterministic Models in Operations Research (3)
Elements of modeling and problem solving. Use of a software package like LINDO or EXCEL to solve real-life engineering problems. Linear programming, duality, sensitivity analysis, integer programming, transportation, and assignment problems.
Probability Models in Operations Research (3)
Modeling and decision making under uncertainty, Markov chains, poisson processes, inventory models, and queuing systems.
Prerequisites: 14:540:210, 01:640:244.
Engineering Economics (3)
Economic decisions involving engineering alternatives; annual cost, present worth, rate of return, and benefit-to-cost; before- and after-tax replacement economy; organizational financing; break-even charts; unit and minimum-cost public sector studies.
Open only to junior and senior engineering students.
Computer Control of Manufacturing Systems (3)
Programmable automation applied to manufacturing. Computer architecture, sensors and automatic data acquisition, computer control of actuators, continuous and discrete control of processes, computer integration, and local area networks.
Computer Control of Manufacturing Systems Laboratory (1)
Use of microcomputers and industrial controllers in controlling machines and processes. Assembly language programming, ladder logic programming, and interfacing controllers to sensors and actuators. Experiments in manufacturing applications.
Simulation Models in Industrial Engineering (3)
Modeling and analysis of industrial and service systems using ARENA, simulation modeling perspectives, discrete event and continuous simulation, simulation languages, and statistical aspects of simulation.
Prerequisites: 14:540:210, 338.
Design of Engineering Systems I (3)
Design principles, material selection, design for assembly, design for manufacturing, and effect of environmental issues on product design.
Pre- or corequisites: 14:540:303, 304, 382, 384.
Design of Engineering Systems II (3)
A team approach to the redesign of a real-life product. Alternative engineering plans for improved designs will be developed and implemented. Both written and oral reports will be completed.
Prerequisite: 14:540:399. Open to industrial and systems engineering students only.
Quality Engineering and Statistics (3)
Statistical methods for monitoring and improving product quality and decreasing variation. Factorial experiments, variables and attribute control charts, acceptance sampling, on- and off-line process controls.
Prerequisite: 14:540:210. Corequisite: 14:540:434.
Quality Engineering Laboratory (1)
Practical application of quality engineering methodologies, statistical software, gage studies, online process control, design of experiments to improve product design, industrial manufacturing processes, and system design.
Production Planning and Control (3)
Coordination of activities of both manufacturing and service systems. Systems design; input and output; planning and scheduling. Decision-making problems employing mathematical techniques of linear programming. Sequencing jobs on machines and line-balancing techniques.
Prerequisites: 14:540:311, 338.
Engineering Law (3)
Legal and ethical aspects of engineering; bids, awards, and negotiated contracts. Liabilities to the public and to employees, contract labor law. Contracts, patents, copyrights, trademarks, and engineering specifications.
Prerequisite: Permission of department. Open only to seniors and graduate students in engineering.
Facilities Layout and Materials Handling (3)
Fundamentals of the design, layout, and location of industrial and nonmanufacturing facilities. Selection of machines and material handling equipment and their efficient arrangement. Emphasis on quantitative methods. Warehouse layout. Facility location theory.
Prerequisites: 14:540:201, 303.
Design of an Industrial Enterprise (3)
Senior-level capstone course. Students in small groups select product(s) to be manufactured and design and justify the enterprise.
Open only to senior industrial engineering majors.
Industrial Information Systems (3)
Design of information systems for integrated manufacturing. Modeling, specification, and implementation of factory information systems. Relational database model and structured query language. Methods of automatic data acquisition and integration of factory floor information with factory host database for production planning and control.
Automated Manufacturing Systems (3)
Introduction to computer-aided design and computer-aided manufacturing (CAD/CAM), numerical control, hardware and programming, mechatronics systems, robotics hardware and programming, and machine vision with applications in manufacturing.
Energy Systems Modeling and Optimization (3)
Addresses the design, analysis, modeling, and optimization of
selected energy systems (including conventional fossil fuels and
renewable wind and solar). This course will provide the basis for
applying mathematical modeling and optimization techniques in energy
systems. A set of projects and case studies focused on modeling and
optimization of a variety of energy systems will be assigned to students
and discussed in detail. The course will have hands-on experience with
data collection, experimentation, simulation, and optimization tools as
they apply to energy systems.
Prerequisite: 14:540:311 or 14:332:402.
Design of Decision Support Systems (3)
Designing, building, and testing computer systems that emulate human thinking and can draw conclusions based on incomplete and fuzzy data. Design and implementation of user interfaces. Students are required to design and build a decision support system. Students will use various test tools to validate their systems.
Special Problems (BA,BA)
Studies in phases of industrial and systems engineering of special interest.
Co-op Internship in Industrial and Systems Engineering (3,3)
Intended to provide a capstone experience to the student's
undergraduate studies by integrating prior coursework into a working industrial engineering professional environment. Credits earned for the
educational benefits of the experience and granted only for a
continuous, six-month, full-time assignment.
Prerequisite: Permission of department. Graded Pass/No Credit.