Maricopa Community Colleges  TQM214   19932-99999 
Official Course Description: MCCCD Approval: 11/24/92
TQM214 19932-99999 LEC 2 Credit(s) 2 Period(s)
Principles of Process Improvement
Examines the concepts and tools of quality/continuous improvement. Includes mapping processes, statistical measurement, problem-solving tools and methods of presenting findings, evaluating, and implementing changes. Prerequisites: None. TQM201 is recommended.
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MCCCD Official Course Competencies:
 
TQM214   19932-99999 Principles of Process Improvement
1. Compare and contrast the old paradigm of quality control to that of problem prevention with a commitment to quality. (I)
2. Identify and analyze problem areas using effective problem identification tools. (II)
3. Analyze and evaluate a process through development of a process flow chart. (II)
4. Use various problem-solving tools to effectively analyze the root cause of a problem. (II)
5. Describe how to implement problem prevention and/or solution strategies according to a timeline. (II)
6. Identify and analyze the capabilities of several methods to monitor and collect data. (III, IV)
7. Identify and use several methods of process data collection. (III, IV)
8. Describe how to evaluate implemented changes and how to standardize the process. (V)
9. Describe methods for documenting and presenting findings based on audience and data. (VI)
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MCCCD Official Course Outline:
 
TQM214   19932-99999 Principles of Process Improvement
    I. Quality Commitment
        A. Inspection and Prevention
        B. Quality Problem Solving
      II. Problem-Solving Tools for Quality Improvement
          A. Affinity Diagrams
          B. PERT Charts
          C. Cause-and-Effect Diagrams
          D. Tree Diagrams
          E. Nominal Group Technique
          F. Deployment Flow Charts
          G. Prioritization Techniques
        III. Quality Statistics
            A. Sampling Techniques and Raw Data
            B. Descriptive Statistics & Frequency Distribution
              1. Histograms
              2. Polygons
              3. Pareto Diagrams
            C. Measures of Central Tendency
              1. Mean
              2. Median
              3. Mode
            D. Normal Distribution
          IV. Statistical Process Control
              A. Types of Data
              B. Causes of Variation
              C. Control Chart Fundamentals
              D. Continuous Improvement Analysis
            V. Reliability
                A. Reliability Measurement
                B. Designing for Reliability
                C. Maintainability, Repairability and Availability
              VI. Presentation of Findings
                  A. Audience
                  B. Data Selection
                  C. Process Implementation
                  D. Evaluation
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