More on Statistical Process Analysis and Control

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More on Statistical Process Analysis and Control Powered By Docstoc
					More on Statistical Process
  Analysis and Control
 Engineering Experimental Design
           Winter 2003
          In Today’s Lecture
• Control charts
• Process capability
     What are Control Charts?
• A graphical method of evaluating process
  performance and comparing it to process
  specifications (requirements)
• A graphical method of distinguishing
  between common-cause (random, normal)
  and special-cause variation
• A graphical tool for deciding when you
  should intervene in a process
• A graphical representation of statistics
    Different Control Charts for
     Different Types of Data
• Variable (Continuous)   • Attribute (Discrete)
  Data                      Data
  – X-Bar chart              –   np-chart
  – R chart                  –   p-chart
                             –   c-chart
                             –   u-chart
         Variable or Attribute Data?
•   Assay of each batch made in a plat
•   Average assay of batches produced in a week
•   Number of printing defects on a pallet label
•   Number of typos per sales contract
•   Number of batches off-spec in monthly production
•   Percentage off-spec pounds in monthly production
•   Number of samples rejected per 100 tested
•   Time to close an “account receivable”
   Control Charts in this Course
• They are covered in Chapter 6
• You will construct and x-Bar and an R chart
  in HW 5
• I am planning a control chart project for
  later in the quarter
• No more lecture on control charts now
           Process Capability Ratios
            (Desired Performance) / (Actual Performance)
                            Note that average
                       performance is not centered
                         between the spec limits The shaded areas
 This curve is the                                  represent the
distribution of data                            percentage of off-spec
 from the process                                    production




                       Voice of Customer

                          Voice of Process
                       Cp
• The simplest process capability ratio
• Cp = (USL – LSL) / (6 s)
  – USL = upper spec limit
  – LSL = lower spec limit
  – s = estimate of process standard deviation
• No penalty for being off-target
                         Cpk
• Combines variability and location
• Cpk = min((USL-x)/3s, (LSL-x)/3s)
  – x = estimate of process mean
  – s = estimate of process standard deviation
     • Note typo in book. On p. 255, both sigmas in the
       Cpl equation should be wearing hats
              Why Use Cp?
• Sometimes called “process potential”
• Gives you an idea of what the process could
  do, given its current variability, if it were
  on-target
How is Cpk linked to Six-Sigma?
• Through the denominator, ± 3s
• If x ± 3s (a range of 6s centered on x)
  doesn’t fit inside the SLs, you are not Six-
  Sigma compliant

				
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