Apr 29, 2024  
2018-2019 Course Catalog 
    
2018-2019 Course Catalog [ARCHIVED CATALOG]

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MFG 502 - Intro Statistical Process Cntl

Credits: 3
Lecture Hours: 3
Lab Hours: 0
Practicum Hours: 0
Work Experience: 0
Course Type: Voc/Tech
Introduction to the concepts of variability and statistical process control. The student will develop the ability to utilize the basic SPC tools, monitor and interpret charts, and exercise statistical methods for continuous improvement.
Competencies
  1. Explain what quality is and why it is important
    1. Describe the concepts of quality and why it is important in today’s global market
    2. Identify the current philosophies and practices of SPC
    3. Discuss the major issues revolving around the subject of quality
    4. Explain how to measure and quantify quality
    5. Contrast today’s debate over quality to SPC theory
  2. Demonstrate an understanding of the philosophies of Deming and Juran (among others on SPC
    1. Discuss the Deming approach to SPC and problem solving
    2. Detail the Juran and Crosby approach to SPC practices
    3. Identify the practices and approaches of the Japanese guru’s
    4. Discuss Taguchi methods and advanced concepts of SPC
    5. Explain the concepts and measures of variability
  3. Utilize the basic tools of SPC in case studies and actual experiments
    1. Construct and analyze a cause and effect diagram
    2. Demonstrate the concepts of brainstorming and consensus building
    3. Construct and explain the five basic types of flow charts
    4. Formulate a histogram from a set of data points
    5. Describe and demonstrate the Pareto concept
    6. Explain run chart and control chart methods
    7. Identify variables verses attribute data charting
    8. Differentiate between data gathering tools and data analysis tools 
  4. Explain the principles and concepts of teamwork and SPC
    1. Describe what is the importance of teams and SPC methods
    2. Identify the different types of teams and their uses of SPC
    3. Explain the relationships between teamwork and effective problem solving
  5. Describe the process of continuous improvement
    1. Identify the major problem solving models
    2. Explain the implementation process of installing an SPC program 
  6. Analyze data and their distributions
    1. Identify the process of accurate data collection
    2. Calculate data distributions and their associated statistics
    3. Interpret the characteristics of distributions
    4. Discuss the first law of statistics
    5. Explain the conditions of control
    6. Describe predictability in distributions and data
  7. Understand and perform process capability studies
    1. Describe CpK analysis and interpretations
    2. Discuss the role of specifications
    3. Explain the relationships to QFD
  8. Implement basic process control techniques
    1. Demonstrate the concepts of SPC by working with case studies and examples
    2. Discuss the various approaches and techniques as they apply to the case studies
    3. Explain the applications of the problem solving models to the case studies
  9. Demonstrate an understanding of the industry accepted problem solving models
    1. Describe the typical models for problem solving.
    2. Explain the relationship between these models and the use of SPC charting techniques
  10. Utilize the process of a gauge capability study
    1. Identify the steps used to perform a gauge study
    2. Discuss the need and benefits of such a study
  11. Utilize acceptance sampling concepts
    1. Identify the purpose and use of the various types of acceptance sampling plans
    2. Demonstrate the use of AQL and AOQL tables
    3. Explain the use of OC curves



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