This course provides an introduction to statistical quality control methods that can be applied to meet the demand for ever-increasing levels of product and service quality. Basic methods and tools for analyzing, controlling and improving product & service quality are covered. Probabilistic and statistical techniques are applied to modeling and analysis of variability associated with product production and service processes. Topics include analysis of product design tolerances, six sigma techniques, statistical analysis of process capability, statistical process control using control charts, quality improvement and acceptance sampling.
To provide students with statistical quality control concepts, methods and techniques that have immediate application (1) on the job for analyzing, controlling and improving quality of products, processes and services and (2) in other engineering courses to ensure that quality is a factor in product and service engineering and design. Emphasis is placed on application of methods and techniques through problem definition and solution & interpretation of results.
Advanced BSMS elective
EMIS 5370 or STAT 5373