{"title":"Methodology for Ensuring the Viability for a Complex Object Based on Managing its Structural Dynamics","authors":"I. Т. Kimyaev, B. V. Sokolov","doi":"10.17587/mau.25.167-176","DOIUrl":null,"url":null,"abstract":" The article examines a conceptual model that forms the basis of the authors’ proposed approach to solving the problem of creating integrated information-management systems (IMS) for making managerial decisions, embedded within the structure of vertically integrated Business Entity (BE) to maintain their viability. Viability is understood as the ability of an BE to maintain key technological and business indicators within safe ranges throughout its life cycle (LC), while being subject to the influence of destructive internal and external factors. The problem of synthesizing a generalized structure of an IMS is proposed to solve using a system-cybernetic approach, which considers this problem as the managing its structural dynamics. Managing structural dynamics enables maintaining a regulated level of viability of the vertically integrated BE at all the key stages of its life cycle. The proposed structure of model-algorithmic support (MAS) implements the methods for complexity management. This methodology proposes the approach that justifies the evolutionary redistribution of roles between managerial teams of the vertically integrated BE and functionally equivalent information-management systems. The results of implementing the structure of an IMS, as an example are provided, which arises through the transformation of its original multi-structural state into a qualitatively different state. Multi-structural states are characterized by the use of various control methods, such as \"Automatic Multi-Factor\", \"Automatic Optimal\" \"Manual on site\" etc. In the synthesis of the IMS structure, the methods for system modeling technologies based on simulation-statistical and fuzzy-possibilistic approaches were used.","PeriodicalId":36477,"journal":{"name":"Mekhatronika, Avtomatizatsiya, Upravlenie","volume":"221 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mekhatronika, Avtomatizatsiya, Upravlenie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17587/mau.25.167-176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The article examines a conceptual model that forms the basis of the authors’ proposed approach to solving the problem of creating integrated information-management systems (IMS) for making managerial decisions, embedded within the structure of vertically integrated Business Entity (BE) to maintain their viability. Viability is understood as the ability of an BE to maintain key technological and business indicators within safe ranges throughout its life cycle (LC), while being subject to the influence of destructive internal and external factors. The problem of synthesizing a generalized structure of an IMS is proposed to solve using a system-cybernetic approach, which considers this problem as the managing its structural dynamics. Managing structural dynamics enables maintaining a regulated level of viability of the vertically integrated BE at all the key stages of its life cycle. The proposed structure of model-algorithmic support (MAS) implements the methods for complexity management. This methodology proposes the approach that justifies the evolutionary redistribution of roles between managerial teams of the vertically integrated BE and functionally equivalent information-management systems. The results of implementing the structure of an IMS, as an example are provided, which arises through the transformation of its original multi-structural state into a qualitatively different state. Multi-structural states are characterized by the use of various control methods, such as "Automatic Multi-Factor", "Automatic Optimal" "Manual on site" etc. In the synthesis of the IMS structure, the methods for system modeling technologies based on simulation-statistical and fuzzy-possibilistic approaches were used.