EMEN 4400 - Quality Management
Instructor: Wendy Martin
Suggested prior knowledge: None
Prerequisites: None
Semester(s) Offered: See course list
Course Description
This introductory course is designed to introduce the concepts, tools, and techniques used in managing and measuring quality and productivity in a business environment. Throughout the course, students will explore the principles of quality, including foundational concepts, as well as the implications of quality with respect to customers, the workforce, and processes. Additionally, students will learn to apply the tools and techniques associated with the quality sciences. Associated topics include statistical methods, design quality, measurement, control, process improvement, and Six Sigma. Finally, students will discover the basics of performance excellence management. Topics include the Baldrige Award criteria, strategic planning, leadership, and daily management.
In addition to the provided text, these topics will be explored through the examination of specific examples and case studies from modern companies in business today.
Skills and Knowledge Gained
- Articulate the basic concepts, history, and definitions of quality.
- Assess the influence of quality on business outcomes and competitive positioning.
- Evaluate the principles and foundations of modern quality management systems.
- Identify and implement core quality principles: customer focus, employee involvement, and process approach.
- Utilize statistical methods for quality design and measurement.
- Execute process improvement initiatives using DMAIC and Six Sigma methodologies.
- Understand the role of strategic planning and leadership in achieving organizational performance excellence.
- Design and manage a system for daily operations that incorporates quality management principles.
Why should you take this course?
This course will equip you with foundational quality management principles and practical tools to improve organizational performance and competitive advantage in the modern business landscape.
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Wendy Martin
30 years experience in applied statistics, performance improvement and problem solving.
Master Black Belt in Six Sigma.
Masters of Engineering in Engineering Management with emphasis in Applied Statistics, Å·ÃÀ¿Ú±¬ÊÓƵ Boulder.
BS Mechanical Engineering, Purdue University.