Risk identification and mitigation with a Digital Risk Twin
Ensure safe complex operations with a model-based Digital Risk Twin
Reliability, availability, maintainability and safety (RAMS) engineering plays a pivotal role in ensuring safe and efficient operation. It is crucial to give utmost importance to RAMS engineering at every stage of a new system, from design and development to operations. This involves identifying potential failure modes, enhancing maintenance procedures, guaranteeing the availability of spare parts, and incorporating safety measures. By giving priority to RAMS engineering, you can attain remarkable levels of reliability, availability, maintainability and safety, thereby ensuring a prosperous and enduring presence in your industry.
Benefits of reliability, availability, maintainability and safety engineering software
The Maintenance Aware Design environment (MADe) is the leading approach to model-based analyses and standardization for system reliability, availability, maintainability and safety (RAMS). As Siemens’ digital RAMS solution, MADe couples the latest technology with expert sources to provide a Digital Risk Twin that captures the domain knowledge of your system and its failures. MADe plays an important role in model-based systems engineering for informed decision support in the design and development phases of the system lifecycle; as well as RAMS analyses for legacy systems looking to identify unknown technical risks and improve existing maintenance strategies.
Topics in the webinar
In this webinar, you will learn how to:
- Define RAMS’ role in lifecycle management and implement it in your process
- Produce a Digital Risk Twin with the MADe suite through a demo
- Intertwine MADe capabilities and model-based systems engineering
Meet the speaker
Marlene Haag
Solution Consultant
Marlene is a reliability, availability, maintainability and safety (RAMS) expert with five years of professional experience leading model-based, data-driven decision support for complex technical systems. She specializes in analyzing the implications of decisions made throughout the product life cycle management process on system reliability, sustainment, readiness and cost. Her experience includes but is not limited to direct support to the U.S. Navy including the NAVSEA, NAVAIR and NAVSUP commands, U.S. Army, U.S. Air Force, Department of Homeland Security, Department of Defense and major commercial partners in production and manufacturing.