Course Description Introduces business performance excellence (BPE) including history of Quality Sciences, Six Sigma, and Deming's Theory of Profound Knowledge. Addresses use of strategic planning, policy deployment and Total Asset Utilization to exceed customer requirements and maximize profitability. Topics addressed strategically and tactically through case analysis, field study, and experiential learning. |
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Course DescriptionStudy of methods designed to maximize excellence in business performance. Includes interactions with the customers and suppliers, integrated manufacturing, and meeting customer requirements while focusing on maximizing profitability. These characteristics are addressed both strategically and tactically through the use of case analysis, field study, and experiential learning for both the production and service sectors. |
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Course Description An in-depth investigation of the concepts, tools, and techniques used in the management and measurement of Quality, productivity. Topics include basic statistics and probability; process variation; statistical process control charting and capability analysis for process, product, and management systems; an introduction to design of experiments (DOE) in business and industry. |
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Course Description An advanced study of methods, tools, techniques, and systems associated with advanced quality applications. Includes a survey of advanced process control technologies, control schemes, and measurement systems analysis. |
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Course Description Continuation of EMEN 5900 / APPM 4580/5580 (Intro to Applied Statistical Methods). Combines statistical methods with practical applications and computer software. Develops commonly used statistical models such as analysis of variance as well as linear and nonlinear regression. The statistical models are implemented and interpreted in the context of actual data sets using available statistical software. |
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Course Description Combines intermediate and advanced statistical methods with practical research applications and computer software. Develops commonly used statistical models such as Two and Three-Way Analysis of Variance as well as the analysis of Fractional Factorial Designs for the solution of common business and industrial research problems. The statistical models are implemented and interpreted in the context of actual data sets using available statistical software. |
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Course Description An exploration of commonly used research methods including: Analytical, Agreement, Descriptive, and Relational methods; Experimental Design including incorporation, nesting, blocking, and controlling; threats to the internal and external validity of research. Sampling procedures and considerations, measurement validity and reliability, and managing the research study are also reviewed. Same as TLEN 5750 and similar to APPM 5580. |
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