Department of Industrial and Systems Engineering
Professors G. K. Bennett, S. Cetinkaya, G. L. Curry, A. V. Deshmukh, R. M. Feldman, G. A. Klutke, V. J. Leon, C. O. MalavĂ©, B. A. Peters (Head), D. T. Phillips, W. E. Wilhelm, M. A. Wortman; Associate Professors A. P. Banerjee, S. Butenko, Y. Ding, D. N. Ford, N. Gautam, S. A. McComb, D. R. Smith, H. Uster; Assistant Professors G. M. Gaulker, A. L. Johnson, K. Kianfar, L. Ntaimo, J. T. Yates
101. Introduction to Industrial Engineering. (1-0). Credit 1.
Introduction to industrial engineering; overview of the curriculum; presentations by faculty and industry to familiarize students with the department and the scope of industrial engineering applications.
220. Introduction to Production Systems. (3-0). Credit 3. I, II
Introduction to manufacturing and production systems; provides an overview of various aspects of manufacturing systems; includes design, analysis, operation and control; a perspective for manufacturing systems related problems and the complex interactions that they entail. Corequisites: CSCE 206; ENTC 181; STAT 211.
285. Directed Studies. Credit 1 to 4. I, II, S
Problems of limited scope in industrial engineering approved on an individual basis intended to promote independent study. Prerequisite: Approval of department head.
302. Economic Analysis of Engineering Projects. (2-0). Credit 2. I, II, S
Principles of economic equivalence; time value of money; analysis of single and multiple investments; comparison of alternatives; capital recovery and after-tax analysis of economic projects. Prerequisite: MATH 152.
303. Engineering Economic Analysis. (3-0). Credit 3. I, II, S
Principles of economic equivalence; time value of money; analysis of single and multiple investments; comparison of alternatives; capital recovery and tax implications; certainty; uncertainty; risk analysis; public sector analysis and break-even concepts. Prerequisite: MATH 152.
314. Statistical Control of Quality. (2-3). Credit 3. I, II
Quality control with statistical principles applied to problems in various production systems, including probability concepts, density and distribution functions, control chart concepts and sampling inspection plans; laboratory exercises for exposure to basic metrology and applied statistics for quality control applications in discrete-item manufacturing systems. Prerequisite: STAT 212.
315. Production Systems Planning. (3-0). Credit 3. I, II
Principles, models and techniques for planning, analysis and design of integrated production systems; optimization principles, including linear programming, unconstrained and equality constrained optimization and dynamic programming applied to production planning; topics to include capacity expansion models, learning curves, aggregate planning models, deterministic and stochastic inventory, MRP and project scheduling. Prerequisites: ISEN 220; MATH 304. Corequisite: ISEN 420.
316. Production Systems Operations. (3-0). Credit 3. I, II
Analytical principles of manufacturing systems design, analysis and control; emphasis placed on stochastic analysis; role of variability and impact on cycle time; push versus pull production strategies including Kanban and constant wip control; probability, queuing theory, Little’s Law, heavy traffic approximations, and queuing networks. Prerequisites: ISEN 220, 424; MATH 304.
333. Project Management for Engineers. (3-0). Credit 3.
Basic project management for engineering undergraduates; project development and economic justification; estimating; scheduling; network methods; critical path analysis; earned value management; recycling and rework; project organizational structures; project risk assessment; resource allocation; ethics; characteristics of project managers. Prerequisite: Junior or senior classification in Dwight Look College of Engineering. Cross-listed with CVEN 333 and MEEN 333.
411. Engineering Management Techniques. (3-0). Credit 3.
Techniques relating to managing engineering activities; engineer’s transition into management; engineering managerial functions; motivation of individual and group behavior; productivity assessment/improvement; managing the quality function and communications. Prerequisite: Senior classification in industrial engineering.
414. Total Quality Engineering. (2-3). Credit 3.
Introduction to the principles of total quality engineering; total quality management philosophy, engineering approaches for designing quality into products and processes; off-line experimentation methods for the robust design; emphasis on teamwork and continuous quality improvement. Prerequisite: ISEN 314.
416. Facilities Location, Layout and Material Handling. (3-3). Credit 4. I, II
Analytical treatment of facilities location, physical layout, material flow and handling, combined with heuristic algorithms to assist in the design of production/service facilities; fundamental concepts applied through a sequence of design projects. Prerequisites: ISEN 315; ISEN 316 or registration therein.
420. Operations Research I. (3-0). Credit 3.
Development and application of fundamental deterministic analytical methods including linear programming, integer programming, dynamic programming and nonlinear optimization. Prerequisite: MATH 304 or equivalent.
421. Operations Research II. (3-0). Credit 3.
Development and application of probabilistic analytical methods including Markov chains, queuing systems and digital simulation modeling. Prerequisites: MATH 304 or equivalent; STAT 212.
424. Systems Simulation. (2-3). Credit 3. I, II
Systems simulation structure, logic and methodologies; generation of random numbers and deviates; system simulation languages, models and analysis; applications to industrial situations. Prerequisite: STAT 212.
425. Design and Analysis of Industrial Systems with Simulation. (2-3). Credit 3.
In-depth study into the design-modeling and subsequent analysis of contemporary production/service systems; factory/service systems are modeled using the ARENA/SIMAN V simulation-animation language; emphasis is placed on the critical analysis of alternative flow designs of modeled systems using flow and economic parameters to assess system improvement. Prerequisites: ISEN 303 and 424.
430. Human Factors and Ergonomics. (3-0). Credit 3. II
Human biological, ergonomic, and psychological capabilities and limitations; techniques and procedures for developing and applying the principles of human factors engineering to systems design; stresses interdisciplinary nature of the subject. Prerequisite: Junior or senior classification.
455. Principles of Programmable Automation. (2-3). Credit 3.
Comprehensive treatment of the principles of computer numerical control, direct numerical control, computer-aided part programming and industrial robots; emphasis on the operations and applications of CNC, DNC machine tools and industrial robots; laboratory experience in using part-programmable software and robotic programming languages to develop programmable automation systems. Prerequisites: ISEN 316 and ISEN 416 or registration therein.
459. Manufacturing Systems Design. (1-6). Credit 3. I, II
Capstone design course emphasizing analysis and design of manufacturing systems, cellular design, flexible manufacturing systems and manufacturing integration; integrates knowledge gained from all required industrial engineering courses in a system design project; for students in their final semester of undergraduate studies. Prerequisites: ISEN 314, 316, 416.
485. Directed Studies. Credit 1 to 6. I, II, S
Permits work on special project in industrial engineering. Project must be approved by department head. Prerequisite: Senior classification in industrial engineering.
489. Special Topics in… Credit 1 to 5.
In-depth study of areas of current student interest and recent advances; normally used for first time offering of new courses. Prerequisite: Approval of instructor.