4 research outputs found
Serviceability of large-Scale systems
One of the most important research fields of network sciences is the robustness of networks. A recently answered important question was the following: Which network topologies are more resistant to random malfunctions and/or direct attacks? Nevertheless, until now, which system topology can be maintained and how to manage maintenance more efficiently and effectively have been open questions. However, these questions are the keys both to designing large-scale systems and to scheduling maintenance tasks. This paper proposes a new means to analyze the maintainability of a large system by combining two kinds of networks, i.e., the reliability diagram of the system (1) and the network of scheduled maintenance tasks (2). This paper shows how to assign maintenance task(s) to a system component to increase the reliability of the system. With the proposed method, the maintainability of large-scale systems can be analyzed
A vállalati kockázatkezelésben használt aggregálófüggvények jellemzése = The characterization of aggregation functions in enterprise risk management
Az aggregálás a kockázatok Ă©rtĂ©kelĂ©sĂ©nek fontos lĂ©pĂ©se. TörtĂ©nhet eredĹ‘ kockázat összetevĹ‘kbĹ‘l törtĂ©nĹ‘ meghatározása során, vagy a kĂĽlönbözĹ‘ terĂĽletek, szervezeti szintek átfogĂł kockázatának megállapĂtásakor. A tanulmányban a szerzĹ‘k meghatározzák az aggregálĂłfĂĽggvĂ©nyekkel kapcsolatos elvárásokat. Monte-Carlo-szimuláciĂłt alkalmazva kĂĽlönbözĹ‘ aggregálĂłfĂĽggvĂ©nyeket jellemeznek ezen szempontok szerint. Kifejtik a gyakorlatban használatos, szorzással adĂłdĂł RPN kritikáját, s Ă©rvelnek a geometriai átlag alkalmazása mellett. Megvizsgálják bizonyos aggregálĂłfĂĽggvĂ©nyek viselkedĂ©sĂ©t a figyelmeztetĹ‘rendszerben. = Aggregation is an important step in risk assessment. It can happen during the determination of resultant risk from components, domains or organizational levels. In this article authors define requirements for aggregating functions. According to these aspects they characterize different aggregation functions using Monte Carlo simulation. They give the critique of the multiplication based RPN calculation used in practice and argue for the use of geometric mean. The behavior of certain aggregate functions in the warning system is examined