VIEW Vision

Keeping your VIEW current - October 17, 2019


Big Data and ESPC



We live in a world of “Big Data”. Our phones track our commute to work, on-line shopping provides merchants with our preferences, and internet search engines analyze our likes and dislikes. Data is captured and analyzed to predict our future behavior. Predictive Analytics are also utilized in our manufacturing environments. If we can track and analyze characteristics of our manufactured components, we can begin to adjust "predictively" our processes prior to failure. The effort of collecting and monitoring dimensional data during the manufacturing process began with Edward Deming (wikipedia.org/wiki/W._Edwards_Deming) during the rebuilding efforts in Japan after WWII. The use of Process Control Charts, which depict dynamically specific characteristics, provide a graphic representation of the variability in our processes. 

With the advent of high speed automated measuring systems (VIEW pioneered such with the RB-1 in 1977 -- wikipedia.org/wiki/VIEW_Engineering), the ability to collect measurement data from manufactured components has increased tremendously. High speed cameras, accurate positioning stages, and techniques like strobing, have advanced the state of the art of measuring systems. The recent trend towards Industry 4.0 provides the opportunity of collecting data from the entire factory for the identification of factors that add variability to our processes.

Industry 4.0

The manufacturing process becomes closed loop and improves incrementally with addition data that is used to improve processes. 

ESPCWheel

 

Measurement data is used to improve not only the Manufacturing processes, but the overall Quality of the product by improving the Design. It all starts with good and valid Measurement data.

 

The primary purpose of VMS and VIEW measurement systems is to acquire dimensional and attribute data. VMS provides functions like “resultout("Label " + fformat( , "#.0000") + nl())” , “excel(Argument)”“open(File, FileName, ReadWriteMode)”. Functions like these, as is common with VMS, allow the user to define and construct to their specific usage. 

 

ESPC is an ancillary tool that can be used directly with VMS to manage, compile, and analyze your measurement data. Data is automatically stored in SQL-type records for selective retrieval, based upon “metadata” (part specific inputted data that uniquely identifies the data such as Operator Name, Date, Time, Color, etc). This provides the opportunity to selectively retrieve data to perform testing to identify sources of variability that affect the manufacturing process.  

 ESPC Screenshot

 ESPC Green Screenshot

In addition to the storage in a database, ESPC offers Real-Time Process Control charting, descriptive statistics, correlation analysis, Gage Repeatability and Reproducability studies and analysis, and template-based reporting. The VMS Edit Header can be used to enter the unique characteristics of each record which can be easily set-up for a GRR study.

 Edit Results

ESPC is available for a 30-day trial by access through the Kotem web-site. kotem.com/evolve-suite/evolve-spc/. Kotem is a QVI company. You will receive a temporary license. A permanent license can be purchased from the On-Line Store at the same web-site. 

 

VMS requires the use of two new functions that are used to surround the measurements you want to export to ESPC. The new functions are: “spc_start_data()” and “spc_end_data()”. The following sample VMS program depicts the usage of these functions in a program that generates sample data.  

 ESPC Measurement Steps

 

ESPC provides a tool for the management of measured data that allows “Big Data” to be utilized throughout your manufacturing process. Contact us and we will walk you through the set-up of ESPC and VMS. You can review a short video on ESPC at https://vimeo.com/253794619.


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