Safety and risk assessment

Boost productivity and reduce costs by objectively identifying all potential failures in a design or product. Utilize the Digital Risk Twin to produce standard failure mode and effects analysis (FMEA) and failure mode, effects and criticality analysis (FMECA) artifacts. This approach offers the benefits of a reusable and scalable model, enabling the generation of standard documents as a by-product of the modeling process at any stage of the development process.

Ensure that failures are described, displayed, and reported in a consistent and traceable manner. Utilize failure diagrams as graphical representations of the causes, mechanisms, and faults that can lead to loss of function in the system, described based on a dedicated failure taxonomy. Employ a graphical interface to illustrate the physical processes leading to an item’s failure (cause, mechanism, fault, symptom) and how these can propagate throughout the system through automated dependency mapping. Develop failure diagrams for each item to define how a component can fail based on the physics of failure. Each fault is accompanied by failure conditions, compensating provisions and detection methods, which can be displayed in the FMECA report, ensuring comprehensive and actionable insights.

Identify the dependencies of engineering risks in a specific system configuration using functional fault tree analysis (FTA). Automatically generate the FTA from the Digital Risk Twin to pinpoint potential causes of failures, assess their relative importance and determine the probability of occurrence. This automated approach ensures a thorough and dynamic analysis, enhancing the accuracy and reliability of risk assessments.

Perform functional hazard assessment (FHA) at both platform and systems level to identify potential functional failures and classify the hazards associated with specific failure conditions. The FHA is developed early in the development process and is updated as new functions or failure conditions are identified. Thanks to API integration, MADE is able to consume functional models (like SysML) to perform FHA, ensuring a thorough and dynamic assessment process.