IE330_Chapter16

IE330_Chapter16 - Chapter 16 Homework See Blackboard for...

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See Blackboard for assignment. Homework 9 is due 27 April 2011. Chapter 16: Homework
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You should be able to recall: For what purpose an X-bar and R process control chart is used For what purpose a P attribute control chart is used For what purpose a U attributed control chart is used Why process control is preferable over inspection to achieve quality The uses of cause-and-effect diagrams and other SPC tools You should be able to accomplish: Conduct process control analysis using Minitab Determine process capability You should be able to understand: How to interpret the results of process control and process capability analysis How process control is implemented How to interpret tolerance intervals Chapter 16: Objectives
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Process Capability: statistical methods to determine and document the variability inherent in a particular process Statistical Process Control: statistical methods applied to measuring and tracking manufacturing or service variability to ensure it falls within acceptable ranges. Attribute Control: statistical methods applied to measuring and tracking attributes (proportions, number of defects) of a manufacturing or service process to ensure it falls within acceptable ranges. Other tools Cause-and-effect or fishbone diagram Pareto chart Check sheet Other things we’ve seen before: histogram, scatter diagram, run charts Chapter 16: Statistical Quality Control
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American method, pre-1980s Inspect all products, remove defects Address problems when trends are detected Chapter 16: Statistical Quality Control
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American method, pre-1980s Inspect all products, remove defects Address problems when trends are detected Shewhart method (introduced in the 1920s, used by Japanese manufacturers, then later re-cast as Six Sigma) Track process means, variances, or proportions Determine likely process tolerances Identify causes for normal variance in processes Identify and eliminate causes for special variance in processes Improve process Check for improvement Chapter 16: Statistical Quality Control
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American method, pre-1980s Inspect all products, remove defects Address problems when trends are detected Shewhart method (introduced in the 1920s, used by Japanese manufacturers, then later re-cast as Six Sigma) Track process means, variances, or proportions Determine likely process tolerances Identify causes for normal variance in processes Identify and eliminate causes for special variance in processes Improve process Check for improvement Chapter 16: Statistical Quality Control
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American method, pre-1980s Inspect all products, remove defects Address problems when trends are detected Shewhart method (introduced in the 1920s, used by Japanese manufacturers, then later re-cast as Six Sigma) Track process means, variances, or proportions Determine likely process tolerances Identify causes for normal variance in processes
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