Covers current quality improvement concepts and techniques in industry with emphasis on modern manufacturing requirements. This course introduces the fundamental tools of Statistical Process Control (SPC) as they are used in industry to reduce costs, identify root cause, and increase productivity at a predictable quality level. Applied principles and techniques of total quality systems will be utilized to ensure correct definition, measurement, analysis, and improvement of common manufacturing problems. Areas of study include; basic statistical and probability theory, sampling techniques, process control charts, nature of variation, histograms, attributes and variable charts.
- Discuss why identifying and defining a problem is a crucial step in any problem-solving method
- Discuss critical thinking, problem analysis, and decision-making techniques used in industry
- Utilize tools and tables commonly used in continuous improvement and root cause analysis
- Explain the basic concepts and applications of a wide range of statistical quality tools, techniques, decision making, and problem solving tools
- Prepare and present data
- Analyze data using mean, mode, and standard deviation
- Describe the concept of Six Sigma
- Describe and demonstrate the fundamentals of SPC
- Generate and interpret basic variable and attribute control charts
- Create process maps and develop cause and effect strategies
- Discuss the Cost of Poor Quality (COPQ) and methods of reduction
- Describe the concept of Return on Investment (ROI) and target opportunities.
- PREREQUISITES: Demonstrated competency through appropriate assessment or earning a grade of “C” or better in MATH 122 Applied Technical Mathematics.
Method of Delivery