• Wendy Bailey in front of group of students

Learn quantitative techniques to maintain order, discipline and the highest standards of quality in your business processes. 

EMEN 5042
Methods for Quality Improvement
Wendy Bailey

In today’s market, product, process and service quality is a necessity for competitive edge in any business. Consumers and customers expect (and demand) high quality products and services from their suppliers.  Knowing how to improve quality affects more than just quality. It affects cost, market share, productivity, employee morale and company reputation. Learning and applying the systems, strategies and tools associated with quality improvement can allow a business to stay competitive, reduce cost, increase productivity, and improve both morale and brand loyalty.

Students who take this course will develop their expertise in the following areas:

  • Fundamentals and Foundations of Quality: Understanding variation, process documentation, basic statistical methods and probability, principles of process variation
  • Statistical Process Control: The nature and use of process control charts, control chart selection, Interpreting out-of-control conditions, variables and attribute data control charts, special purpose control charts
  • Capability Studies: Performing capability studies for variables and attribute data, performance and capability indices (use, interpretation, and cautions)
  • Measurement Systems Analysis: MSA for continuous and discrete measurement systems
  • Design of Experiments: Principles of experimental design, using statistical process control and design of experiments together

  • Discover and identify the interrelated processes behind business enterprises
  • Select and use the appropriate systems, strategies and tools to manage processes for continual improvement
  • Apply the methods for process analysis, improvement, and ongoing management to your business or workplace
  • Identify when to use the Problem­ Solving and/or Quality Improvement Strategies based on a problem statement
  • Diagnose process opportunities and problems with statistical process control (SPC) methods and tools
  • Analyze measurement systems to ensure their stability and capability
  • Articulate the basics of design of experiments (DOE) and how it relates to statistical process control (SPC)

Students who take this course will use case studies and examples, both in-class and outside of class, to:

  • Create and interpret many different types control charts for the purpose of improving quality
  • Perform capability and performance analyses on normally and non-normally distributed data sets to determine ability to
  • Complete measurement system analyses for both continuous and discrete measurement systems

Fundamentals & Foundations of Quality: Understanding Variation, Process Documentation, Basic Statistical Methods & Probability, Principles of Process Variation

Statistical Process Control: Nature & Use of Process Control Charts, Control Chart Selection & Interpreting Out-of-Control Conditions, Variables and Attributes Control Charts

Capability Studies & Design of Experiments: Performing Capability Studies for Variables and Attribute Data Applications, Performance & Capability Indices - Use, Interpretation, Cautions

Principles of Experimental Design

  • Understand the interrelated processes behind business enterprises.
  • Learn to manage these processes for continual improvement.
  • Gain methods for process analysis, improvement, and ongoing management.
  • Understand the structure of and difference between the Problem-Solving and Quality Improvement Strategies.
  • Diagnose process opportunities and problems with Statistical Process Control (SPC) methods and tools.
  • Understand the basics of Design of Experiments (DOE).

Develop student skills in continuous improvement, problem-solving, statistical process control (SPC), and the design of experiments (DOE/DOX).

Requires prerequisite course of EMEN 5005 (minimum grade B). Restricted to College of Engineering graduate or Graduate Certificate Engineering (CRTGE) students only.

All required texts are provided.

Web and e-mail access required. MVPStats statistical software. Software must be purchased.

EMEN 5042
Please refer to the course syllabus provided by the instructor of this course.

Wendy BaileyWendy Bailey
Instructor
wendy.bailey@colorado.edu

 

Wendy is the third Engineering Management alumnus to join the EMP as an instructor. She earned her undergraduate degree in Mechanical Engineering at Purdue University. After graduation, she went to work as a Lid Process Engineer for Metal Container Corporation, a wholly-owned subsidiary of Anheuser-Busch, where she was trained in Statistical Methods by Luftig & Warren International (LWI). After two years as an engineer, she moved to Colorado to work for the Metal Container Corporation Windsor Can Plant as Statistical Quality Control Manager, where she became skilled in the application of statistics in an industrial environment. While working as SQC Manager, Wendy delivered training in quality methods to employees of both the Windsor Plant and Anheuser-Busch in Fort Collins. She worked in management for 12 more years, moving to a role as Engineering/SQC Manager and finally as Quality/SQC Manager.  As Quality Manager, she led her team to become the number one ranked supplier to Anheuser-Busch for all commodities supplied in 2006 and 2007, before “retiring” in 2007 to stay home with a new baby.

Wendy returned to the workforce in 2010 to teach in the Electro-Mechanical and Energy Technology Program at Front Range Community College. During her first year as an Adjunct Instructor, she won an award for Outstanding Instructor. In addition to teaching, she developed the curriculum for many of the courses including Metrology, Statistical Process Control and Lean Manufacturing.  She was the lead for industry outreach, networking with local employers to incorporate identified skills for technicians into the curriculum.  Additionally, she was a trainer for the Corporate Solutions group, teaching courses in Quality Management, Six Sigma and Lean Manufacturing.  While teaching at Front Range, she earned her Masters of Engineering from the Lockheed-Martin Engineering Management Program at the University of Colorado Boulder with an emphasis in six sigma, quality systems and applied statistics.

She has held an ASQ Certified Quality Engineer certification, and currently holds a teaching credential for Career and Technical Education with the State of Colorado. She lives in Colorado with her husband and son.