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Lecture The management and control of quality - Chapter 14: Statistical process control

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Lecture The management and control of quality - Chapter 14: Statistical process control. This chapter presents the following content: Statistical quality control, statistical process control, types of variations, causes of variation, assignable causes,...

Chapter 14 Statistical  Process Control   Statistical  Quality Control Acceptance  sampling Attributes Variables Process  Control Attributes Variables Statistical Quality Control for Acceptance Sampling and  for Process Control Statistical  Process Control  Statistical process control is the  application of statistical techniques to  determine whether a process is  delivering what the customer wants  Acceptance sampling is the  application of statistical techniques to  determine whether a quantity of  material should be accepted or rejected  based on the inspection or test of a  sample Types of Variations         Common Cause Random  Chronic Small System problems Mgt controllable Process  improvement Process capability         Special Cause Situational Sporadic Large Local problems Locally controllable Process control Process stability Variation from Common  Causes Variation from Special Causes Causes of Variation  Two basic categories of variation in output  include common causes and assignable  causes  Common causes are the purely random,  unidentifiable sources of variation that are  unavoidable with the current process – If process variability results solely from  common causes of variation, a typical  assumption is that the distribution is symmetric,  with most observations near the center Assignable Causes  The red distribution line below indicates that the process produced a preponderance of the tests in less than average time Such a distribution is skewed, or no longer symmetric to the average value  A process is said to be in statistical control when the location, spread, or shape of its distribution does not change over time  After the process is in statistical control, managers use SPC procedures to detect the onset of assignable causes so that they can be eliminated Location Spread © 2007 Pearson Education Shape Statistical Process Control (SPC)   A methodology for monitoring a  process to identify special causes of  variation and signal the need to take  corrective action when appropriate SPC relies on control charts 10   Spreadsheet Template  Special Variables Control Charts  x­chart for individuals Key Idea Charts for Individuals Control charts for individuals offer the  advantage of being able to draw  specifications on the chart for direct  comparison with the control limits Charts for Attributes  Fraction nonconforming (p­chart) – Fixed sample size – Variable sample size  np­chart for number nonconforming  Charts for defects – c­chart – u­chart Key Idea Choosing between C­ & U­charts Confusion often exists over which chart  is appropriate for a specific application,  because the c­ and u­charts apply to  situations in which the quality  characteristics inspected do not  necessarily come from discrete units Control Chart Formulas Control Chart Selection Quality Characteristic variable attribute defective n>1? no x and MR yes n>=10 or no computer? yes x and s defect x and R constant sample size? yes p or np no p-chart with variable sample size constant sampling unit? 37 yes no c u Control Chart Design Issues     Basis for sampling Sample size Frequency of sampling Location of control limits 38 Key Idea In determining the method of sampling,  samples should be chosen to be as  homogeneous as possible so that each  sample reflects the system of common  causes or assignable causes that may be  present at that point in time Key Idea In practice, samples of about five have  been found to work well in detecting  process shifts of two standard deviations  or larger. To detect smaller shifts in the  process mean, larger sample sizes of 15  to 25 must be used Economic Tradeoffs Pre­Control LTL Red Zone UTL Red Zone Green Zone nominal value Yellow Zones 43 Key Idea Pre­control is not an adequate substitute  for control charts and should only be  used when process capability is no  greater than 88 percent of the tolerance,  or equivalently, when Cp is at least 1.14.  If the process mean tends to drift, then  Cp should be higher .. .Statistical? ? Quality? ?Control Acceptance  sampling Attributes Variables Process? ? Control Attributes Variables Statistical? ?Quality? ?Control? ?for Acceptance Sampling? ?and? ? for? ?Process? ?Control Statistical? ?... Statistical? ? Process? ?Control  Statistical? ?process? ?control? ?is? ?the? ? application? ?of? ?statistical? ?techniques to  determine whether a? ?process? ?is  delivering what? ?the? ?customer wants  Acceptance sampling is? ?the? ?... Interpreting? ?Control? ?Charts When a? ?process? ?is in? ?statistical? ?control,   the? ?points on a? ?control? ?chart fluctuate  randomly between? ?the? ?control? ?limits with  no recognizable pattern Typical Out? ?of? ?Control? ?

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Mục lục

    Variation from Common Causes

    Variation from Special Causes

    Statistical Process Control (SPC)

    Key Idea Capability and Control

    Commonly Used Control Charts

    Key Idea Interpreting Control Charts

    Shift in Process Average

    Key Idea Process Monitoring and Control

    Special Variables Control Charts

    Key Idea Charts for Individuals

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