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chenxiaobin
Level I

Why Ppk results with different calculating methods are different for same data

There are 2 calculating method for the attached data:

1.Distribution Method: Ppk = 0.821

chenxiaobin_1-1701927622981.png

 

2. Process Capablity method:   Analyze/ Quality and Process/ Process Capablity, Distribution option select nonparametric,Ppk = 1.394

chenxiaobin_0-1701927499548.png

 

Which Ppk result should I choose? Why?

1 ACCEPTED SOLUTION

Accepted Solutions
SDF1
Super User

Re: Why Ppk results with different calculating methods are different for same data

Hi @chenxiaobin ,

 

  It's as Jarmo mentioned, you are using two different distributions. In the distribution platform, you are using the Weibull distribution, while in the Process Capability platform, you are using the default, which is a Normal distribution. All of these calculations, ppk, cpk, etc., depend on the distribution used because this changes the definition of the mean and standard deviation used to calculate those values.

 

  If you launch the Process Capability platform and cast your column of interest in the Y, Process role, then under Process Subgrouping, be sure to select Constant Subgroup Size and set it to 1. Then under Distribution Options, select Weibull under the Distribution drop-down menu. But now you need to make sure the Platform understands that you want to use a non default distribution. Click on your Y process, then click on the Set Process Distribution button under Distribution Options.

 

  This will give you your process capability and if you go to the red hot-button by Process Capability and select Individual Detail Reports, it will bring up the histogram and distribution overlay. Here, you get the 0.821 ppk as you do with the Distribution platform.

 

SDF1_0-1701960101444.png

 

Hope this helps!,

DS

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3 REPLIES 3
jthi
Super User

Re: Why Ppk results with different calculating methods are different for same data

Seems like different distributions are being used, you can find statistical details from JMP Help page

Quality and Process Methods > Process Capability > Statistical Details for the Process Capability Pl... . If you come across things like this, sometimes it is useful to select "?" tool from the toolbar and click on the report, it will open a help page for you regarding that platform (or part of platform).

-Jarmo
SDF1
Super User

Re: Why Ppk results with different calculating methods are different for same data

Hi @chenxiaobin ,

 

  It's as Jarmo mentioned, you are using two different distributions. In the distribution platform, you are using the Weibull distribution, while in the Process Capability platform, you are using the default, which is a Normal distribution. All of these calculations, ppk, cpk, etc., depend on the distribution used because this changes the definition of the mean and standard deviation used to calculate those values.

 

  If you launch the Process Capability platform and cast your column of interest in the Y, Process role, then under Process Subgrouping, be sure to select Constant Subgroup Size and set it to 1. Then under Distribution Options, select Weibull under the Distribution drop-down menu. But now you need to make sure the Platform understands that you want to use a non default distribution. Click on your Y process, then click on the Set Process Distribution button under Distribution Options.

 

  This will give you your process capability and if you go to the red hot-button by Process Capability and select Individual Detail Reports, it will bring up the histogram and distribution overlay. Here, you get the 0.821 ppk as you do with the Distribution platform.

 

SDF1_0-1701960101444.png

 

Hope this helps!,

DS

chenxiaobin
Level I

Re: Why Ppk results with different calculating methods are different for same data

Hi DS,

 

Thanks for your help.

 

       My colleague insists that 0.821 Ppk is not reasonable, because  Ho (The data is from the Weibull distribution) is rejected (p-value is less than 0.05) . 

chenxiaobin_1-1702128600900.png

     

     His suggestion: Nonnormal capability indices calculated with the Percentiles method should be used for the data. Ppk = 1.263. 

chenxiaobin_2-1702128662298.png

 

Can you give some suggestion?  Thanks in advance.

 

Xiaobin