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Origin of Six Sigma Manufacturing

Six Sigma is a manufacturing process control strategy which first implemented by Motorola.

Six sigma being common used by any sectors of industry nowadays, especially those precision product manufacturing.

Six Sigma manufacturing implemented to control the process or stabilize the process. Then, seeks to improve the quality of process outputs.

To stable or improve the process, six sigma manufacturing tools need to be used to achieve the target.

Six sigma basic statistical introduction 

 

Minimum (Min) and Maximum (Max)
  • Always sort the data before do the statistical, this can make it more clear.
  • Pic 25
  • Minset1=12 ; Maxset1=22
  • Minset2=15 ; Maxset2=24
  • Microsoft Excel function:
  • Minimum: =min(numbers)
  • Maximum: =max(numbers)

Range (R)
  • Range is the biggest different of the data.
  • Theefore,
  • Range = Maximum - Minimum
  • Rangeset1=Maxset1 - Minset1
  •                = 22 - 12
  •                = 10
  • Range = Maximum - Minimum
  • Rangeset2=Maxset2 - Minset2
  •                = 24 - 15
  •                = 9
  • Microsoft Excel function:
  • Range: =Mmx(numbers) - min(numbers)

    Median (M)
    First at all, find the value at the medium position. Use the total number of the sample/2.

     

  • If the total number of the sample is odd , take only one value. Example: 11,12,12,15,16
  • Median number position = (total number of sample +1) / 2
  •                                    = (5+1)/2
  •                                    = 3
  • The medium position is at the 3rd. So, the median is 12.
  • If the total number of the sample is even , take only two number and get the average. Example: 12,14,14,15,15,16,16,17,18,22)
  • Median number position = (total number of sample +1) / 2
  •                                    = 11/2
  •                                    = 5.5
  • The medium position is at the 5th and 6th.
  • So, the median value is (15 + 16)/2 which is 15.5
  • Microsoft Excel function:
  • Median: =median(numbers)

     

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  • More Topic
  • Six Sigma Basic Statistical Introduction
  • Six Sigma Process
  • Six Sigma Distribution and Possibility

 

 
 

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