Improving Risk Management of Complex Systems

Cox, Tony; Lowrie, Karen

doi:10.1111/risa.13703

Cited by 1 publication

(2 citation statements)

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“…Modern scientific research in this area [1,2,3] substantiates the most rational ways of integrating knowledge in the field of resource management of complex systems for sustainable development [4], namely: reducing all kinds of risks [3,5] and increasing the efficiency of complex industrial systems for account of the rational use of information resources [2,6]. Which, in turn, makes many scientists pay attention [7,8,9] to the development and improvement of the applied theory of matrices in the interests of providing an iterative approach [7] to information processing and controllability of complex systems [9, 10], taking into account the dynamics of external influences.…”

Section: Introduction and Problem Statementmentioning

confidence: 99%

“…Improving the management of the BTS without spending additional resources is possible by performing such work in parallel with the continuous analysis of the results obtained and adjusting subsequent management decisions [3,5,7,11] based on the use of structural and functional models (SFM) of the BTS. In fact, in this case, the proposed SFM will be a complex of matrices of structural and functional indicators of the evaluated BTS and matrices of quality indicators of TS operating in their composition.…”

Section: Introduction and Problem Statementmentioning

confidence: 99%

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About the method of assessing the quality of big technical systems based on the rules of subtraction of matrices of values of indicators

Bilyatdinov

Krivchun

2022

J. Phys.: Conf. Ser.

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The article presents a basic formula and a universal table for development of structure functional models of big technical systems. The method takes into account priorities of performed functions and substructures of big technical systems, also, maximum and minimum values of basic indices of technical systems. In order to compare “ideal” and real models it is recommended to use a corresponding subtraction of matrixes of quality indices. For this purpose, matrixes of indices are sorted into two groups: the one, where the minimum value of an index is considered the best, and another, where the maximum value is considered the best. The results of matrixes subtraction make a basis for the rules of models comparison. The article demonstrates a specifically designed table for processing of the results of matrixes subtraction and calculation formulas of standardized weighting coefficients of importance for each index and a complex quality index of maintenance of the assessed systems. It also contains rules of making ratings of systems’ quality. The main positive effect from the application of the proposed method is a considerable decrease of time and resources needed for the quality assessment of systems and a possibility of software realization of a rational processing of information in the process of management of big technical systems’ maintenance.

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