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Management of Product Quality Data in Engineering

Management of Product Quality Data in Engineering. by GAJULA SHASHI KIRAN (206747) Data Management for Engineering Applications. Introduction. Data Quality : “Degree of excellence exhibited by the data”. “Complete, standards based, consistent, accurate and time stamped”.

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Management of Product Quality Data in Engineering

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  1. Management of Product Quality Data in Engineering by GAJULA SHASHI KIRAN (206747) Data Management for Engineering Applications

  2. Introduction Data Quality: • “Degree of excellence exhibited by the data”. • “Complete, standards based, consistent, accurate and time stamped”. • “Backbone for the integrity of the data management” • “The processes and technologies involved in ensuring the conformance of data values to business requirements and acceptance criteria”.

  3. Attributes of Data Quality

  4. Attributes of Data Quality(1) • Involves describing various categories of desirable attributes(dimensions) of data. • High-quality data needs to pass a set of quality criteria. Those include • Accuracy • Integration • Validation • Completeness  • Relevance • Consistency

  5. Attributes ofData Quality(2) • Accuracy: An aggregated value over the criteria of integrity, consistency, and density • Integrity: An aggregated value over the criteria of completeness and validity • Completeness: Achieved by correcting data containing anomalies • Validation: process of ensuring that program operates on clean and useful data • Consistency: Concerns contradictions and syntactical anomalies • Relevancy: a level of consistency between the  data content and the area of interest of the user. 

  6. Product Quality Data(PDQ) • PDQ is a field of PLM relating to the quality of product data • Different types of product data • Geometrical Data and CAD • Complex Product Structures • Non-geometrical Data, Simulation, FEM, etc. • Particularly focus on the geometrical and organizational quality of CAD data • CAD data participates in all the stages of PLM processes

  7. Problems in CAD: Main problems are caused due to • Dissimilar software systems • Lost data • Inconsistent product versions • Poor communication between CAD,CAM,CAE • CAD model quality problems • Due to inherent flaws in modeling software itself.

  8. Fig - The CAE Process without Interoperability

  9. Common Types of Model Quality Problems Fig- Types of Model Quality Problems

  10. CAPVIDIA SOFTWARE • It mainly focuses on • Software product development, • Engineering Services (CAD/CAE) • Technology focuses on CAD Data Translation, Repair & Healing, Validation • It comprises of three stages • Verification • Validation • Comparison

  11. „Verification • Impedes reuse of native model in most CAD processes • Require geometry changes during CAE/CAM model reuse. • Unrealistic features can cause divergence between CAE and CAM models • Validation • Introduced during translation, migration, remastering or archiving. • Introduced during rework for CAE/CAM reuse • Comparison • Unintentional changes between design revisions or for an engineering change order • Unintentional changes caused by complex parametric relationships unknown to user

  12. Design Verification

  13. Translate validation: • Verify native model for downstream • Validate that translated model has equivalent quality and shape • Identify process issues for support to resolve

  14. Source:ITITranscen Data

  15. Source:ITITranscen Data

  16. CADIQ Functions: • It compares geometry assembly structure, design features and product manufactring information • It identifies model based design Data quality issues • It is easily integrated into PLM workflow processes • Fix topology and geometry problems within CAD CADfix Functions: • Interoperability tool • Transfers geometry data • Repairs data according from given source system to get use in target system

  17. Conclusion • By maintaining data quality we meet the operational needs • Improve the customer service

  18. References • The Impact of Poor Data Quality on the Typical Enterprise, Communications of the ACM • Research in attacks, intrusions, and defenses 16th international symposium, RAID 2013, Rodney Bay, St. Lucia, October 23 - 25, 2013 ; proceedings • www.CAPVIDIA.com • http://web.mscsoftware.com/support/library/conf/amuc98/p02398.pdf • http://en.wikipedia.org/wiki/Data_quality • http://en.wikipedia.org/wiki/CAD_standards

  19. Thanking you

  20. Queries????

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