A must-see safety analysis tool for system designers in the aerospace, space, and automotive fields.
Supports risk assessment in accordance with SAE ARP 4761 and ISO 26262. Implemented in over 13,000 sites worldwide!
The Safety Analysis Support Tool SSA (System Safety Assessment) is primarily used by system designers and hardware (such as electronic device) designers for system safety analysis. It has been implemented in reliability analysis in fields such as railways, automobiles, aerospace, and plant and construction machinery. 【Main Features】 ◆ Risk assessment in accordance with SAE ARP 4761 and ISO 26262 ◆ Implementation of HARA (Hazard Analysis and Risk Assessment) ◆ Verification support linked with verification models such as FMECA, RBD, and Fault Tree * There are case studies available. For more details, please contact us or download the PDF to view.
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basic information
SSA (System Safety Assessment) is a module included in the reliability analysis software Reliability Workbench by the UK company ISOGRAPH. It directly integrates with other modules in Reliability Workbench, such as FMECA, RBD, and Fault Tree, and supports DAL and ASIL decomposition. SSA comes with approximately 20 default sheet templates, including ISO26262 summary, HARA, and Verification, and it is also possible to freely customize templates into user-defined sheets. 【Convenient Features for Simplifying Operations】 - Library Function: By registering evaluation models and results as a database, it enables data reuse and internal standardization. - Enterprise Option: Allows for version management of evaluation models, including check-in/check-out and revision management. - Integration with External Tools: By using the RWB-DOORS Module, it is possible to integrate with IBM Rational DOORS.
Price range
P5
Delivery Time
P3
Applications/Examples of results
Safety analysis support for automobiles, aircraft, etc.
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Company information
Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into one that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.