Analisis Kerusakan Mesin Sterilizer Pabrik Kelapa Sawit Menggunakan Failure Modes and Effect Analysis (FMEA)

Failure modes and effects analysis (FMEA) for Gamma Knife radiosurgery

PURPOSE Gamma Knife radiosurgery is a highly precise and accurate treatment technique for treating brain diseases with low risk of serious error that nevertheless could potentially be reduced. We applied the AAPM Task Group 100 recommended failure modes and effects analysis (FMEA) tool to develop a risk-based quality management program for Gamma Knife radiosurgery. METHODS A team consisting o...

Failure Modes and Effects Analysis (FMEA) and Systematic Design

The paper describes recent work to improve the safety process for aero-engine controllers. The role of FMEA is discussed in the context of the safety and certification processes, with reference to ARP 4754 and ARP 4761. Whilst the ARPs' emphasis on top-down hazard-driven approaches is valuable, it is concluded that the role of FMEA should not be down-played. Instead it should be recognized that...

Security Application of Failure Mode and Effect Analysis (FMEA)

Increasingly complex systems lead to an interweaving of security, safety, availability and reliability concerns. Most dependability analysis techniques do not include security aspects. In order to include security, a holistic risk model for systems is needed. In our novel approach, the basic failure cause, failure mode and failure effect model known from FMEA is used as a template for a vulnera...

Prioritization of Failure Modes in Process FMEA using Fuzzy Logic

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...

Failure Modes and Effects Analysis (fmea) – an Assessment Tool for Risk Management in Clinical Laboratories