Browse Prior Art Database

SPC User Interface Design

IP.com Disclosure Number: IPCOM000110297D
Original Publication Date: 1992-Nov-01
Included in the Prior Art Database: 2005-Mar-25
Document File: 5 page(s) / 197K

Publishing Venue

IBM

Related People

Hume III, EC: AUTHOR

Abstract

Features of a user interface designed for online Statistical Process Control (SPC) are disclosed. The SPC module was developed as part of a Customer Quality Assurance system. BACKGROUND

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SPC User Interface Design

       Features of a user interface designed for online
Statistical Process Control (SPC) are disclosed.  The SPC module was
developed as part of a Customer Quality Assurance system.
BACKGROUND

      The principles and methods of SPC are well known.  See, for
example, Process Control, Capability and Improvement published by the
IBM Quality Institute (publication SR11-3055-01).  In designing the
software for an SPC user interface, advantage has been taken of the
windowing and control features of the OS/2* Presentation Manager*.
HIGH-LEVEL DESCRIPTION

      As illustrated in Figure 1, a chart is selected for viewing a
configuration from a window whose dominant feature is a list of
available charts.  The chart itself contains two plots showing both
values of the primary process variable and values of the range
parameter.  Detail on individual points in the charts can be obtained
by clicking on the point using the mouse pointer, as illustrated in
Figure 2.  As discussed with each figure, there is provision to
associate a comment with each point and to exclude the point from the
recalculation of control limits and from inclusion in the
determination of violations for newly added points.  These attributes
of the point modulate the color and marker type that are used to draw
the point.

      Figure 3 illustrates the dialog used to control the range of
data displayed in the chart.  The user may choose to view past data
or to view the latest data.

      Figure 4 illustrates the dialog that is used to configure run
rules.  Control limits for testing each rule are fixed parametrically
based on the outer  3 sigma limits configured or calculated for
the chart.  This design feature makes it easy for an unsophisticated
user to configure run rules because they do not have to calculate or
supply values.  When new points are added to the data, the analysis
routine applies each active rule in sequence to determine the most
severe rule violated (if any).

      Figure 5 illustrates the dialog used to manipulate control
limits. In the CQA system, limit calculations are automatically done
when triggered by a sampling plan algorithm that is executed with
each received material lot.  The dialog in Figure 5...