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Worst-case analysis is the analysis of a device (or system) that assures that the device meets its performance specifications. These are typically accounting for tolerances that are due to initial component tolerance, temperature tolerance, age tolerance and environmental exposures (such as radiation for a space device).
RAMP Simulation Software for Modelling Reliability, Availability and Maintainability (RAM) is a computer software application developed by WS Atkins specifically for the assessment of the reliability, availability, maintainability and productivity characteristics of complex systems that would otherwise prove too difficult, cost too much or take too long to study analytically.
The analysis is sometimes characterized as consisting of two sub-analyses, the first being the failure modes and effects analysis (FMEA), and the second, the criticality analysis (CA). [3] Successful development of an FMEA requires that the analyst include all significant failure modes for each contributing element or part in the system.
A design failure modes and effects analysis, DFMEA, is a structured qualitative analysis of a system, subsystem, device design to identify potential failure modes and their effects on correct operation. The concept and practice of performing a DFMEA, has been around in some form since the 1960s.
ARCADIA, a model-based engineering method for systems, hardware and software architectural design. ARCADIA ( Arc hitecture A nalysis & D esign I ntegrated A pproach) is a system and software architecture engineering method based on architecture-centric and model-driven engineering activities.
Failure mode effects and criticality analysis (FMECA) is an extension of failure mode and effects analysis (FMEA). FMEA is a bottom-up , inductive analytical method which may be performed at either the functional or piece-part level.
Modern Derivatives Pricing and Credit Exposure Analysis: Theory and Practice of CSA and XVA Pricing, Exposure Simulation and Backtesting. Palgrave Macmillan. ISBN 978-1137494832. Dongsheng Lu (2015). The XVA of Financial Derivatives: CVA, DVA and FVA Explained. Palgrave Macmillan. ISBN 978-1137435835. Ignacio Ruiz (2015).
The SCOR model contains more than 150 key performance indicators that measure the performance of supply chain operations. [11] These performance metrics derive from the experience and contribution of the association's members. As with the process modeling system, SCOR metrics are organized in a hierarchical structure: