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Simulation Data Management

Simulation Data Management (SDM)streamlines the execution of simulation processes and manages data efficiently. In engineering, SDM faces challenges such as dealing with various data types and ensuring data integrity while improving productivity and innovation. Technologies like high-performance computing and integrated software solutions help overcome these hurdles. Enterprises can improve their maturity levels by adopting SDM practices, leading to reduced complexity, enhanced collaboration, and better decision-making. Real-life examples illustrate the benefits of implementing effective SDM strategies within organizations.

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Simulation Data Management

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  1. Simulation Data Management How engineering enterprises can improve Productivity, Collaboration & Innovation.

  2. What is Simulation Data management. • Challenges in SDM. • What is Engineering SDM. • What is the scope of improvement for enterprises. • Technologies used for high performance computing and storage. • Some basic real life examples. • Benefits of SDM. Outline

  3. Simulation - imitation of the operation of a real-world process or system over time. • Data Management- Administrative process by which the required data is acquired, validated, stored, protected, and processed. Simulation + Data Management = SDM • Simulation Data Management provides a mechanism to streamline the execution of our simulation processes while offering a suitable way to manage data. Simulation Data Management?

  4. The Volume, Velocity and Variety of SD. • Managing distributed data securely and efficiently. • Maintaining Data Integrity. • Collaboration and Communication. • Improving Knowledge Management. • Engineer’s Productivity. Challenges?

  5. Engineering SDM

  6. Data from PDM/ERP/PLM, such as CAD. • Data within simulation such as boundary conditions, materials, processes etc. • Details on simulation type, simulation task Simulation Input

  7. Data in large files • Unstructured solution results • Output from simulation processes, such as substructures, images, plots, animation files, reports. Simulation Output

  8. Conceptual Design • Detailed Design • Validation To address these complexities engineering Enterprises typically deploy large number of Software tools. Unique about ESDM?

  9. Generally, enterprises are divided into 3 maturity levels regardless of their size. • Higher maturity level? • Better dealing with unrelenting data deluge. • Reduced Complexity. • Lower maturity level? • Opportunity to improve engineering productivity and innovation. Classifications

  10. SDM maturity levels.

  11. Isolated Islands: Single Tenancy • SD data stored in Stand-alone systems. • Data retrieval, management, consolidation task • Cumbersome, manual and time consuming. • Unstructured nature of data. • Greater data loss and greater data security risk. • Lower access to data. A bit in detail…

  12. An Archipelago: Replicated Tenancy • Data within many interconnected islands. • More coordination. • Improved data management/storage tasks. • Improved engineering productivity and innovation. • More agile and flexible. In-Detail Contd….

  13. Cloud : Multi tenancy • Access to data from anywhere. • Visualization and automated reporting. • Rapid access = improved decision making. • Flexibility and easy to use. • Improved productivity. • Data management and security. • Reduced total cost to ownership (TCO). In-Detail Contd…

  14. SDM Architecture - Solution

  15. Real Example.

  16. ANSYS EKM – Engg Knowledge Mgnmt. • GPFS – General parallel file system. • IBM storwize V7000 Unified. • IBM Sonas – Scaled out Network attached Storage. • IBM DCS3700

  17. SDM can be easily integrated with PLM/PDM systems. • Volume, velocity and variety affordably handled with HPC systems. • Automated SDM – better business decisions. Conclusion

  18. http://www.cabotpartners.com/Downloads/wp_addressing_engineering_simulation_data_mgt.pdfhttp://www.cabotpartners.com/Downloads/wp_addressing_engineering_simulation_data_mgt.pdf • http://www.ansys.com/Products/Workflow+Technology/Simulation+Process+&+Data+Management • http://step.nasa.gov/pde2007/NASA_ESA_PDE_5_07_Gene_Allen.pdf References

  19. Thank you

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