Software fault tree analysis (SFTA) [1] is widely used for analyzing software requiring high-reliability. In SFTA, experts predict failures of system through HAZOP (Hazard and Operability study) or FMEA (Failure Mode and Effects Analysis) and draw software fault trees about the failures. Quality and cost of the software fault tree, therefore, depend on knowledge and experience of the experts. T...

In this study, we proposed a method to improve the safety level of control software (CSW) by managing CSW’s design information and analysis results, combining failure mode effects (FMEA) fault tree (FTA). Here, CSW is developed using structured methodology. upper stage development process, as input preliminary (data flow diagrams (DFDs) (CFDs)), causes undesirable events are clarified FMEA, cou...

Many processes are safety critical and therefore could benefit from proactive safety analysis techniques that attempt to identify weaknesses of such processes before they are put into use. In this paper, we propose an approach that automatically derives Failure Mode and Effect Analysis (FMEA) information from processes modeled in the Little-JIL process definition language. Typically FMEA inform...

Failure mode and effects analysis (FMEA) is a widely used engineering technique for designing, identifying and eliminating known and/or potential failures, problems, errors and so on from system, design, process, and/or service before they reach the customer (Stamatis, 1995). In a typical FMEA, for each failure modes, three risk factors; severity (S), occurrence (O), and detectability (D) are e...

The Failure Mode and Effects Analysis (FMEA) design discipline involves the examination at design time of the consequences of potential component failures on the functionality of a system. It is clear that this type of information could also prove useful for diagnostic purposes. Unfortunately, this information cannot be fully utilised for diagnosis when FMEA has been performed by human engineer...

In order to effectively analyze and control use-related risk of medical devices, quantitative methodologies must be applied. Failure Mode and Effects Analysis (FMEA) is a proactive technique for error detection and risk reduction. In this article, an improved FMEA based on Fuzzy Mathematics and Grey Relational Theory is developed to better carry out user-related risk analysis for medical device...

Failure mode and effect analysis (FMEA) is a widely used reliability analysis and risk assessment tool in various industries. It is one of the most established project management techniques to identify and eliminate failures before actual manufacturing starts. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate; the risk level of failures, to rank failures, and to...

In any organization, the importance of failuremanagement cannot bementionedby a single word. However,most failure analysis is dominated by themanufacturing sector, despite the increasing importance of the service sector. In response, this paper proposes a systematic approach for identifying and evaluating potential failures using a service-specific failure mode and effect analysis (service-spec...