Time: 2:00 p.m. – 4:00 p.m. CT
Please join us for a virtual workshop series to learn about Digital Methodology Framework (DMF) that helps in rapid engineering design aligned with systems engineering principles. The framework supports a methodology that helps track dependencies between requirements, test cases, and simulation models used in satisfying the requirements. In addition, product design and analysis tasks are expressed in common business process notation which are then conveniently used for task tracking, completion, and status checks.
The traceability between design and analysis artifacts within this collaborative DMF environment allows the users to study impacts of design changes before making a change. This traceability also allows users to search and retrieve valuable insights into the design and engineering decisions, enabling knowledge and asset reuse within the organization.
This session will demonstrate the use of a DMF to track issues with the performance of a product back to the design decisions that were made which caused it. This โreverse methodologyโ can be informed further by the use of digital twin to align data to operation and confirm that the models/simulations used to commission the design are accurate in the real world.
Shiva Sivashankar
Director,
Controls Center of Excellence
at Siemens Industry Software Inc.
Sagar Supe
Engineering Service Engineer,
Controls Center of Excellence
at Siemens Industry Software Inc.
Jing Wang
Principal Engineering Service Engineer,
Controls Center of Excellence
at Siemens Industry Software Inc.
Elena Arvanitis
Project Manager,
Simulation and Digital Twin,
Siemens Technology
Daniel Reed
Senior R&D Project Engineer,
MxD
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