[Case Study] Utilization of Tools for Functional Safety Design in Accordance with ISO 26262
By utilizing the reliability analysis tool Reliability Workbench, functional safety design in accordance with ISO 26262 can be smoothly implemented.
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. We encourage you to try its usefulness.
Price range
P5
Delivery Time
P4
Applications/Examples of results
We are utilizing our tools for functional safety design compliant with ISO26262 at multiple domestic automotive-related companies. In addition, 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 about case studies and other information. Please contact us for more details.
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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 a system 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 of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.