Six Sigma Business Improvement

Quality impacts every aspect of the operations of a company, therefore managing processes and the quality of their outputs is an essential responsibility of any organization that wants to succeed in business and provide true customer satisfaction. This course introduces the basic concepts and tools of quality management systems for manufacturing and service industries. Students learn a general overview of quality management topics and process approach: basic concepts of quality control and quality assurance; quality systems and their impact in an organization to ensure consistency of product and/or service reliability and quality; process definition and control; problem solving; standards for quality management systems; inspection operations; lean tools introduction; and quality costs. Using real case studies via in-class exercises and assignments, students will have the opportunity for practical application of concepts.
Prerequisite(s):

• No prerequisites are required for this course.

Includes descriptive statistics, including numerical and graphical presentation of data, measures of central tendency, dispersion and elementary probabilities. Introduction to several discrete and continuous probability distributions . Introduction to inferential statistics through selected topics such as sampling, confidence limits of the mean, hypotheses testing, simple linear regression and the chi-squared test for independence.
Prerequisite(s):

• No prerequisites are required for this course.

This course provides an overview of Lean/Six Sigma principles and tools that are employed in organizations to improve processes and achieve a higher level of performance. The subjects covered include the basic quality tools and other higher level tools commonly used by organizations successful in achieving performance excellence and leadership positions in the market place they are operating.
Prerequisite(s):

• 50% in OPMT 1106 and (50% in OPMT 1130 or 50% in OPMT 1197) or 50% in OPMT 1797

Introduces the concept of Six Sigma and its application. The course covers the Define-Measure-Analyze-Improve-Control ( DMAIC) model and the problem solving approach used to make improvements. Topics include: the history and value of six sigma, project charter, voice of the customer, process characteristics, measurement systems analyses, data types, multi-variable studies, data analysis techniques, nonparametric statistics, failure mode and effects analysis (FMEA), cycle time reduction, variance reduction, kaizen, statistical process control and design for six sigma. This course is designed to help candidates prepare for the CSSBB certification examination of the American Society for Quality.
Prerequisite(s):

• 50% in OPMT 1720