Changing The Time Scale In Minitab for a 30,000-foot-level Metric Chart

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A quick method for changing the time scale in Minitab is described in the attachment, which can be used for predictive analytics 30,000-foot-level charting.

 Changing The Time Scale In Minitab

Have you ever needed a quick method to summarize data into a different time scale? For instance, what about changing daily data into weekly or even monthly data?

The link below provides information on how a quick and simple Minitab resource will help you do just that!

 

Some of the text from this article is:

In an effort to determine predictability of a 30,000-foot-level-metric for your project, many practitioners are overwhelmed by the effort to change the time scale of the data to allow for
reporting with a less frequent period (i.e. daily to weekly or daily to monthly). Rather than take the data to a spreadsheet program to create the summary data, Minitab can do it easily! For
more information about Minitab, please view www.minitab.com.

To create the new time summaries, use the following Minitab functions located under the Data menu selections, ‘Extract from Date/time’ and ’Store Descriptive Statistics’.

A complete text of the article is available in a PDF format through the link below.

 

Changing The Time Scale In Minitab for a 30,000-foot-level Metric Chart

The article referenced 30,000-foot-level charting which may need some explanation.

An example 30,000-foot-level report-out  for a process is the following, where there is a specification of 72-78:

 

Changing The Time Scale in Minitab need in 30,000-foot-level reporting

 

In this 30,000-foot-level report-out:

  1. The individuals plot on the left is to assess process stability from a high-level point of view.  For this situation, there was no point beyond the specification limit; hence, it is concluded that the process is stable.  Because of this stability conclusion, we can state that the process is predictable.  Then next obvious question is what futuristic statement can be made.
  2. The probability plot is used for determining process capability in terms that are easy to understand; i.e., estimated non-conformance beyond the 72-78 specification limits.
  3. The determined non-conformance rate is reported at the bottom of the chart.  It is to be understood that if this rate is not satisfactory, a process improvement effort is needed.

Applications and Additional Information about 30,000-foot-level Reporting

  • The Integrated Enterprise Excellence (IEE) Business Management System provides the framework for reporting the predictive analytics of 30,000-foot-level metrics throughout an organization, where there is a structured linkage of these futuristic measurement from the processes that created the metrics.
  • An IEE 5-book set provides the details of implementing the IEE system and its 30,000-foot-level reporting
  • Enterprise Performance Reporting System (EPRS) software provides the vehicle for providing predictive analytics for process response outputs that have automatic updates.
  • A free Minitab add-in is available for the creation of 30,000-foot-level report-outs is available through the EPRS Client link.

 

Contact Us to set up a time to discuss with Forrest Breyfogle how your organization might gain much from an Integrated Enterprise Excellence (IEE) Business Process Management System and its predictive analytics approach for business scorecard reporting.