Formal procedure for analyzing the properties of a solid municipal waste management system based on the provisions of evergetics, reliability theory apparatus, and GIS technologies
Abstract
At present, the problem of organizing a system for handling municipal solid waste (MSW) is most acute, as in most Russian regions, and throughout the world. Various environmental and economic problems, as well as problems related to public health, negatively affect many aspects of the development of modern society. Therefore, careful management of the MSW management system is of great social importance and needs constant improvement.
In this paper, we propose to look at the MSW management system from the point of view of various scientific approaches, namely, methods of structural analysis, methods of geoinformation technologies, reliability theory for complex technical systems, evergetics, graph theory, and fuzzy logic methods, including the apparatus of linguistic variables. The purpose of the work is to show the possibility of applying and combining the above-mentioned scientific methods, which have proven themselves in other areas peculiar to them, in a new area of organization of the MSW management system. However, the simple application of these approaches is impossible without their further adaptation and systematization in terms of existing approaches to managing such systems.
In this study, elements of the MSW management system were identified and a topological model of this system was constructed. Structural and logical models of reliability were also constructed at various levels of abstraction.Full Text:
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Kosolapov N. A. statistics of solid waste in Russia // Scientific and methodological electronic journal "Concept". 2014. Vol. 26, Pp. 581-585.
Druzhinin G. V. Reliability of automated systems. 3rd ed., reprint. and add. M., "Energy", 1977. 536 p.
Parkinson D.B. Parameter Design in System Reliability // Quality Technology & Quantitative Management, Volume 3, 2006 - Issue 1, рр.93-102, DOI: 10.1080/16843703.2006.11673102
Lin Y.-K., Kuo P.-H., Chang C.-C. System reliability for joint minimal
paths under time constraint // Journal of the Chinese Institute of Engineers, Volume 37, 2014 - Issue 1, рр. 110-121, DOI: 10.1080/02533839.2012.747250
Chavaillaz A., Sauer J. Operator adaptation to changes in system reliability under adaptable automation // Ergonomics, Volume 60, 2017 - Issue 9, рр.1261-1272, DOI: 10.1080/00140139.2016.1261187
BowTieXP. The next generation BowTie methodology tool. BowTie Methodology Manual. Revision 15. (27 Mar-2015). 64 p.
TRIPOD BETA. Guidance on using Tripod Beta in the investigation and analysis of incidents, accidents and business losses. February 2015. Version 5.01. 92 p.
Vittikh V. A. Heterogeneous actor and everyday life as key concepts of evergetics: Preprint – Samara: Federal state budgetary institution of science Institute of problems of management of complex systems of the Russian Academy of Sciences, 2014. – 12s.
Rastrigin L. A. Adaptation of complex systems. Riga: zinatne, 1981. 375 p.
Tskhovrebov E. S., Velichko E. G. Scientific and methodological approaches to creating a model of an integrated system for managing construction waste flows // MSU Bulletin. 2015. No. 9. S. 95-110
Reimers N. F. Nature Management. Dictionary-reference. Moscow: Mysl, 1990. 637 p
Mikhailov N. I. Physical and geographical zoning, Moscow: MSU publishing house, 1985.
Shcherbatov I. A., Protalinsky O. M. Complex weakly formalized multicomponent technical systems // management of large systems: collection of works. 2013. no. 45. Pp. 30-46.
Kuj S. A. multi-Aspect consideration of complex systems // Prospects of science and education. 2014. No. 1 (7). pp. 38-43.
Miroshnik I. V., Nikiforov V. O., Fradkov A. L. nonlinear and adaptive control of complex dynamic systems. Saint Petersburg: Nauka, 2000. 549 p.
Synergetic methods for managing complex systems / A. A. Kolesnikov [et al.]; under the General editorship of A. A. Kolesnikov. M.: URSS, 2006. 300 p.
Reason J. Human error: models and management. BMJ. 2000; 320:768–70. DOI: 10.1136/bmj.320.7237.768.
Reason J. Managing the Risks of Organizational Accidents. Aldershot, UK: Ashgate; 1997.
Velmozhin A.V. theory of transport processes and systems: textbook for universities / A.V. Velmozhin, V. A. Gudkov, L. B. Mirotin. M.: Transport, 1998. 167 p.
Gvozdev V. E., Khristodulo O. I. Information support for decision-making in waste management problems based on mathematical and geoinformation modeling // Information technologies. 2019. Vol. 25. No. 8. Pp. 482-489.
Gvozdev V. E., Khristodulo O. I., Sazonova T. V., fakhretdinova E. B. Using geoinformation and mathematical modeling technologies to assess the validity of choosing the location of waste processing enterprises // Auditorium. 2018. No. 3 (19). pp. 63-72.
C. Enrique Pelaz, John B. Bowles. Using Fuzzy Cognitive Maps as a System Model for Failure Modes and Effects Analysis // INFORMATION SCIENCES 88, 177-199 (1996).
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