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The first known prominent public usage of the term "Model-Based Systems Engineering" is a book by A. Wayne Wymore with the same name. [8] The MBSE term was also commonly used among the SysML Partners consortium during the formative years of their Systems Modeling Language (SysML) open source specification project during 2003-2005, so they could distinguish SysML from its parent language UML v2 ...
Each pie is made up of many component factors, otherwise known as component causes represented by sectors in the diagram. In this framework, each component cause represents an event or condition required for a given disease or outcome. A component cause that appears in every pie is called a necessary cause as the outcome cannot occur without it ...
ARP4761, Guidelines for Conducting the Safety Assessment Process on Civil Aircraft, Systems, and Equipment is an Aerospace Recommended Practice from SAE International. [1]
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 argument proposes that there are different motives behind defining causality; the Bradford Hill criteria applied to complex systems such as health sciences are useful in prediction models where a consequence is sought; explanation models as to why causation occurred are deduced less easily from Bradford Hill criteria because the instigation ...
In engineering, reliability, availability, maintainability and safety (RAMS) [1] [2] is used to characterize a product or system: Reliability: Ability to perform a specific function and may be given as design reliability or operational reliability; Availability: Ability to keep a functioning state in the given environment
Integrated assessment modelling (IAM) or integrated modelling (IM) [a] is a term used for a type of scientific modelling that tries to link main features of society and economy with the biosphere and atmosphere into one modelling framework.
Mathematical exposure modeling is an indirect method of determining exposure, particularly for human exposure to environmental contaminants.It is useful when direct measurement of pollutant concentration is not feasible because direct measurement sometimes requires skilled professionals and complex, expensive laboratory equipment.