Analyzing Historical Validation Data to Streamline Business Processes

Analyzing Historical
Validation Data to
Streamline Business
Processes

Tony Anderson
VP & General Manager Kubotek USA

BOEING is a trademark of Boeing Management Company
Copyright © 2012 Boeing. All rights reserved.
Copyright © 2012 Northrop Grumman Corporation. All rights reserved.
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Who We Are
Global Product Data Interoperability Summit | 2012

• Kubotek USA
• History
– 2007 Developed worlds first “Geometric Validation” Tool that
uses pattern recognition for complete coverage
– Co-Developed with Boeing to replace IGES Check
– Deployed to Aerospace OEM’s and 100’s of suppliers
– First Geometric Validation Tool to be used in an FAA approved
Process for data consistency
– LOTAR Members

• Headquarters – Marlborough MA
– Grand Rapids, MI – Boulder, CO – Philadelphia, PA
– Value Added Resellers (VAR)

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Benefits of CAD Software

• Increase in the Productivity of the Designer
• Improve Quality of the Design
• Better Communication
• Creating Documentation of the Design
• Integration with Downstream Processes
• Re-use of Design Data

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What is Data Validation?

• Data Validation is the certification of Geometric and
MBD items between a single Authority CAD Dataset
and a transformed CAD Dataset.
• Translation
• Migration
• Re-Formatting
• Re-Purposing
• Derivative

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Validation – A Binary Process

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Binary Process Yields Binary Benefits

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Leveraging Historical Validation Information

• How Can we Leverage Historical Validation Data to
Reduce Costs, Increase Design Effectiveness and
Streamline Business Processes?

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Next Generation Data Validation

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Data Assimilation

• Data assimilation is the process by which observations are
incorporated into a computer model of a real system. Applications of
data assimilation arise in many fields of geosciences, perhaps most
importantly in weather forecasting and hydrology. Data assimilation
proceeds by analysis cycles. In each analysis cycle, observations of
the current (and possibly past) state of a system are combined with the
results from a numerical weather prediction model (the forecast) to
produce an analysis, which is considered as 'the best' estimate of the
current state of the system. This is called the analysis step. Essentially,
the analysis step tries to balance the uncertainty in the data and in the
forecast. The model is then advanced in time and its result becomes
the forecast in the next analysis cycle.

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Knowledge Is Power

Predictive Analysis of Data Formatting

Extracted Information Assimilated Information

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Demonstration

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Benefits of Data Mining

• Where’s the Beef?

• Understanding the Root Cause of Errors

• Historical Validation Information Provides Trends and
Direction for Future Expectations

• Review and Understanding of Data Interoperability within
YOUR Environment Provides Substantial Benefits

• Ability to Data Mine Validation Information Improves Decision
Making and Reduces Risk

• Supplier Management / Supplier Scorecard
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“It is not the strongest of the species that survives,
nor the most intelligent that survives.
It is the one that is most adaptable to change”
Charles Darwin

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Questions??

Tony Anderson
VP & General Manager
Kubotek USA
(616) 862-8653
Tanderson@kubotekusa.com
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