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Course Criteria
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1.00 - 9.00 Credits
Active participation in research, under the supervision of a faculty adviser, leading to a master's thesis. Grades of IP are assigned until the thesis has been approved by the faculty adviser and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S. Credit Hours: 1 to 9
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3.00 Credits
Active participation in research, under the supervision of a faculty adviser, leading to a doctoral dissertation. Grades of IP are assigned until the dissertation has been publicly defended, approved by the doctoral committee, and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S. Credit Hours: Variable
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3.00 Credits
The analysis and design of production systems in manufacturing and service industries. Topics include forecasting, scheduling, inventory systems, total quality management, work load balancing, and capacity planning. Microcomputer software is used extensively. Students cannot obtain credit for both this course, ENGR 4700 and DSES 2210. Prerequisites/Corequisites: Prerequisite: MATH 1020 or equivalent. When Offered: Spring term annually. Credit Hours: 3
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4.00 Credits
The design and analysis of production and service systems. Topics include forecasting, scheduling, inventory systems, total quality management, line balancing, and capacity planning. Introduction to cost accounting. Use of analytic techniques in accounting-based decision making. Formulation and solution of POM models practiced on computers. Students cannot obtain credit for both this course and ENGR 4700 or DSES 2200. Prerequisites/Corequisites: Prerequisites: MATH 1020 or equivalent. When Offered: Spring term annually. Credit Hours: 4
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1.00 - 4.00 Credits
Credit Hours: 1 to 4
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4.00 Credits
Credit Hours: 4
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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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