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CAD Model Quality and Validation Solution Overview

Solution and Expertise Summary

ITI TranscenData's product data quality solutions combine leading expertise in interoperability process improvement with innovative technology. Click for full size image  Our core offerings solve specific problems stemming from this basic premise: we identify design quality and interoperability software issues that need to be resolved to improve downstream re-use.  ITI TranscenData CADIQ Business Unit Manager and Interoperability Consultant Doug Cheney has been involved in developing software solutions and consulting methodologies based on real customer challenges for over 10 years. Doug and his team are well positioned to understand the requirements and deliver solutions for each customer's unique interoperability needs.

Redefining the Definition of "Bad CAD"

For many years, CAD product data quality (PDQ) investigations were primarily focused on examination of piece parts or assemblies for defects within the context of that CAD system. Traditionally, the goal had focused on determining issues that would effect the ability to use this CAD geometry by other CAx applications. While this is still an important part of PDQ, ITI TranscenData customers have evolved in their consideration of interoperability problems. Click for full size image With the expansion of ITI's technology and methodologies to including both CAD model quality checking and comparison, there are many additional definitions of "Bad CAD" such as:

  • Invalid geometry which impedes reuse of native models in most CAx processes
  • Unrealistic features requiring geometry changes during CAE/CAM model reuse. This causes divergence between the master CAD model and downstream CAx models
  • Unacceptable changes introduced during translation, migration, remastering, archiving or manual remastering.
  • Undocumented changes arising between design revisions or for engineering change orders
  • Changes caused by complex parametric relationships unknown to users
  • Incomplete changes occurring between design revisions for an engineering change order

Enabling Customers to Accomplish Business Goals

Business drivers for CAD Model Quality and Validation engagements include being able to uncover these "Bad CAD" situations which then enables our clients to:

  • Identify problem models that increase manufacturing, analysis and supplier integration costs
  • Implement Model Based Engineering strategies through the creation of robust master models
  • Uncover unexpected changes introduced during translation, migration or remastering projects
  • Provide rapid confirmation of changes during revision checking

See the full listing of Product Data Quality and Validation Scenarios that ITI TranscenData has developed through working with customers to address their business based interoperability concerns.

Project Delivery

Each engagement is carefully planned and executed to ensure that the customer realizes a significant return on investment. If a production implementation introduces custom requirements that require some incremental development to address, we work to mitigate those risks to develop a solution that meets your needs and is delivered on time and under budget.

Customers view our unique expertise and innovative technologies as a long-term, strategic application of best practices, tools and process improvements. Our solution is not designed to be a tactical, short-term, problem-solving tool. The usage scenarios of CAD Model Quality engagements are typically complex and varied. Our expertise will help you simplify the up front analysis of your particular problem and accelerate the implementation of a solution that meets your needs.

To develop an effective, implementation plan unique to your organization, we propose a strategy that will deliver quantitative and qualitative results. The duration and cost of these services are determined by the application area, size of the representative data set, complexity of the environment and methods for delivery (online or onsite) selected by the customer. These parameters, detailed in a PDQ Solution Proposal, apply a specific approach to the customer’s environment and process. A summary of typical customer deliverables can be found in the table below:

PDQ Solution Summary Table

Solution

Phase

Deliverables

PDQ Assessment

Process Inventory

Process improvement recommendation

Data Collection

Quality control statistics

Data Analysis

Interactive diagnostic results

Software Configuration

Software configuration files

PDQ Training

Custom Training Development

Training materials

Software Installation

Installation acceptance test results

Basic User Training

Expert User Training

PDQ Consulting

Software Integration

Software issue resolutions

Critical Issue Identification

Quality issue documentation

Problem Verification

Quality issue correlation data

Resolution Development

Resolution recommendations


Product Data Quality and Validation Customers

A sampling of customers using ITI TranscenData's CAD Model Quality and Validation solutions includes large, product development programs for leading manufacturers: Honeywell, Samsung, Snecma, P&H Mining, Spirit Aerosystems, Boeing, Lockheed Martin, Rockwell Collins, Airbus, Raytheon and more. For a better understanding of the value ITI has provided to these customers, please see Benefits to working with ITI and CADIQ.

Details on the CAD Model Quality Technology

  • For more information on the underlying software product used in CAD Model Quality and Validation engagements, see the CADIQ Product Page.
  • For CADIQ support, FAQ's, detailed specification and overview documents, go to the CADIQ Support Page