You can manage the development quality requirements specified in SAE ARP4761 and others.
The safety assessment-related module of the Reliability Workbench (RWB) has functions to support the safety assessment process required by SAE ARP 4761. Among them, the Safety Assessment module manages the development quality requirements and the results from the verification model.
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basic information
■ Safety Assessment: Safety Evaluation For the target system, centralized management of safety assessments and hazard analyses is possible. ● Key Functions of the Safety Assessment Module - Centralized management of safety assessments and hazard analyses conducted according to SAE ARP 4761 and ISO 26262 (ASIL levels) - Support for SSA (System Safety Assessment) - Support for FHA (Function Hazard Assessment) - Selection of verification models for each hazard, such as FMECA, FTA, RBD, and Markov analysis - Display of requirements for the developed product and comparison with analysis results in a list format - Functionality for creating a library of developed models - Consideration of hazards, impact levels, environments, phases, detection methods, and other factors for functions - Correlation between impact levels and occurrence probabilities - Reflection and evaluation of results (occurrence probabilities) through verification models - Hierarchical structuring of functions - Display of Criticality Matrix - Addition of user-defined items using preliminary items - Import from CSV or spreadsheets - Export to CSV or spreadsheets
Price range
P5
Delivery Time
P3
Applications/Examples of results
- Research institutions related to aerospace and marine in the country - Nuclear power, construction machinery manufacturers, industrial machinery manufacturers, etc. * For more details, please contact us separately.
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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.