[Case Study] Utilization of Tools for Functional Safety Design in Accordance with ISO 26262
By utilizing the reliability analysis tool Reliability Workbench, we can smoothly implement functional safety design in accordance with ISO 26262.
Reliability Workbench is software based on reliability engineering that analyzes reliability, safety, and other factors. By utilizing features such as setting failure rates using reliability prediction models and fault tree analysis, it enables quantitative safety analysis and supports the smooth implementation of functional safety design in accordance with ISO 26262.
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basic information
Reliability Workbench provides solutions for issues such as the following: - Prediction of failure rates using reliability prediction models - Definition of maintenance tasks and maintainability prediction (calculation of MTTR) - Failure Mode, Effects, and Criticality Analysis (FMECA) - Prediction of system reliability and availability through Reliability Block Diagram (RBD) analysis - Fault Tree Analysis (FTA) - Calculation and analysis of impact and occurrence frequency from Event Trees (ETA) - Calculation and analysis of reliability and availability for subsystems with strong dependencies (Markov analysis) - Compliance with functional safety design standards such as IEC61508 and ISO26262 Reliability Workbench is available for evaluation through a free trial version. Please try it out to experience its usefulness.
Price range
P5
Delivery Time
P4
Applications/Examples of results
We are utilizing our tools for functional safety design compliant with ISO 26262 at several automotive-related companies in Japan. Additionally, worldwide, our tools are being used by thousands of customers across various fields, including automotive, aerospace, chemicals, defense, electronics and electrical, manufacturing, mining, oil and gas, power, process, railways, and utilities. We can also provide explanations regarding case studies and other information. Please contact us for more details.
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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.
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