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Course Criteria
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4.00 Credits
Review of simple and multiple regression, selection procedures, regression diagnostics, residual analysis, stepwise regression, analysis of variance, design of experiments including factorial experiments, analysis of ordinal data and nonparametric inference, basic time series models. Extensive use of statistical software. Emphasis on statistical applications to industrial engineering. Prerequisites/Corequisites: Prerequisites: ENGR 2600 and knowledge of calculus. When Offered: Fall term annually. Credit Hours: 4
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3.00 Credits
Analysis and design of work and workplace. Topics covered include human-machine systems, ergonomics, work measurement systems, methods and standards, process design, direct time study, standard time data, predetermined time systems, work sampling, work load balancing, and workplace layout. Computer-based analysis of problems in work systems. Prerequisites/Corequisites: Prerequisite: ENGR 2600 or equivalent. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
An overview of the principles involved in the design and operation of supply chains with applications to manufacturing and service industries. Topics include dynamics of manufacturing systems and supply chains, lean manufacturing, lead time reduction in manufacturing and office operations, advanced pull systems, concurrent design of products and supply chains, rapid new product introduction, remanufacturing and reverse supply chains, and integration of information technology in supply chain operations. The goal of the course is to enable students to synthesize models and tools and to understand how these could be applied to address emerging challenges in manufacturing and service systems and their supply chains. Prerequisites/Corequisites: Prerequisites: DSES 2210 or ENGR 4700, and ENGR 2600 or equivalent. When Offered: Spring Credit Hours: 3
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3.00 Credits
The statistical approach to manufacturing quality control is emphasized. Consideration is given to the managerial implications and responsibilities in implementing the statistical approach. Topical coverage includes construction and interpretation of various control charts; special control charts (e.g., CUSUM, EWMA); graphical methods; specifications, tolerance limits, process capability indices; acceptance sampling; discussion of experimental design; and Taguchi methods of quality improvement. Prerequisites/Corequisites: Prerequisites: DSES 4140 or DSES 4760 (MATP). When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
Planning, controlling, and evaluating engineering projects. Use of network analysis techniques, PERT/CPM, budget control, time/cost tradeoff, time estimation, resource allocation, and resource leveling. Extensions include probabilistic models, multiple resource models, project organization, risk analysis, technical forecasting, and network theory. Students cannot obtain credit for both this course and ENGR 4750. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
An in-depth study of the major design issues in location and physical configuration of production and service facilities. The course emphasizes the use of mathematical models, computer modeling, and quantitative analysis as aids to the design process. Topics include plant layout and location, material handling, material flow analysis, and distribution systems. Major course concepts are developed through case studies and projects. Prerequisites/Corequisites: Prerequisites: DSES 2200 or equivalent, DSES 4140 or equivalent, and DSES 4610 or DSES 4770 (MATP 4700) or equivalent. When Offered: Spring term annually. Credit Hours: 3
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3.00 Credits
Survey of procedures and practices in industrial safety and hygiene including government regulation (OSHA), life safety, electrical safety, air contamination, noise, radiation, ventilation, illumination, toxicology, and safety engineering organization. Contemporary topics (asbestos, PCBs, AIDS) are also covered. When Offered: Fall term annually. Credit Hours: 3
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3.00 Credits
This course provides a capstone and professional experience. Student teams work on independent projects in any field of industrial and management engineering approved by a faculty adviser. Typically, projects involve a manufacturing and service sector client who provides the student with an opportunity to gain an actual industrial experience. Memos, progress reports, and a final written and oral report are submitted to the project adviser and client. This course is a writing-intensive course. Prerequisites/Corequisites: Prerequisite: senior standing. When Offered: Fall and spring terms annually. Credit Hours: 3
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3.00 Credits
The objective of this course is to introduce students to systems engineering, especially from a decision-focused perspective. System concepts, methodologies, models and analysis are covered in relation to a system's design, development, test, evaluation, and operation. Decisions concerning a system's reliability, maintainability, usability, disposability, and affordability are systematically considered. A range of systems, including service systems, is also considered.Prerequisites/Corequisites: Pre-or corequisite: ENGR 2600. When Offered: Spring odd numbered years. Credit Hours: 3
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3.00 Credits
Introduction to discrete-event simulation modeling and analysis techniques including; graphical simulation modeling approaches, animation techniques, modeling large-scale and complex systems, pseudo-random number and random variate generation, stochastic processes, input modeling (data collection, analysis, and fitting distribution), output analysis (initial bias and termination bias, variance reduction techniques), sensitivity analysis, design of experiments, interactive simulation-based decision-support systems. Prerequisites/Corequisites: Prerequisites: DSES 4140 or equivalent and CSCI 1190 or equivalent. When Offered: Fall Credit Hours: 3
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