Mbpfc9 - Managing Business Process Flows: Operations D30...

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Process Control and Capability (Chapter 9) Improvement Process Process Measurement and Analysis Process Variability and Control Process Capability Product and Process Design Operations D30 Managing Business Process Flows: Managing Flow Variability  Module
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Process Control and Capability Managing Business Process Flows,  Hall Feedback control Collect information about critical performance  measures Take corrective actions based on observed  variability in real time Plan-Do-Check-Act (PDCA)
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The Feedback Control Principle Disturbances : Normal and Abnormal Target Settings Process Performance Decision Information
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Capability Improvement: Variance Reduction LS = 75 US = 85 0.7660 80 0.9544 Garage Door Weight (kg) Probability density of output (weight) Reducing σ from 4.2 kg to 2.5 kg increases the proportion meeting specifications
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From Control to Improvement LCL μ UCL Out of Control In Control Improved Weight Time
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Quality of Conformance Cost of Nonconformance (Internal + External) Cost of Assurance ( Appraisal + Prevention) Optimum Conformance Quality Total Cost $
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What is a Pareto Diagram? (Ishikawa, Guide to Quality Control, 1982, pl. 42) Bar chart that ranks measures in decreasing  order Tool to separate significant from the trivial organized in descending order from left to  right useful in obtaining cooperation as it  demonstrates the relative magnitude of  defects Use when data can be arranged into categories rank of each category is important
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1. Determine data classifications 2. Decide on time period 3. Total frequency of occurrence for each class 4. Draw axes on paper 5. Draw in the bars, begin on left with most frequent defect. 6. Label each bar. 7. Plot a line showing the cumulative total 8. Title How to make a Pareto Diagram (Ishikawa, Guide to Quality Control, 1982, pl. 43)
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Defect Number of Percent of Percent Items Total Defectives Caulking 198 9.1% 47.6 Fitting 25 1.2% 6.0 Connecting 103 4.8% 24.7 Torque 18 0.8% 4.3 Gapping 72 3.3% 17.3 Total 416 19.2% 99.9 Table 5.1 Record of defectives N = 2165 Ishikawa, 1982,  p.42
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Number of defectives 0 200 400 0 50 Percent of composition Caulking Connecting Gapping Imprope r Torgque Fitting Figure 5.1 Pareto diagram 75 100 cumulative percentage line
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Cause and Effect Diagram (a.k.a.,  CED diagram, Fishbone, Ishikawa ) Picture of system elements contributing to a problem 3 types of cause-and-effect diagrams 1. Dispersion analysis 5 whys - ex. why do defects occur 2. Production process classification follow each stage of production 3. Cause enumeration simply lists all possible causes Dispersion Analysis Process Classification
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Mbpfc9 - Managing Business Process Flows: Operations D30...

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