Consideration of risk and safety in stratification metamodeling system

Vitlinskyi, Valdemar; Glushchevsky, Vyacheslav

doi:10.1051/shsconf/20196508002

Cited by 2 publications

(4 citation statements)

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“…[5][6][7][8] that are used for mathematical support and formalization of marketing decision making processes based on a new object-oriented approach to the synthesis of complex business modelsstratification metamodeling. Methodology of stratification metamodeling was developed and substantiated by one of the authors in a number of scientific works on this subject and summarized briefly in [9]. This methodology develops the principles of multimodality and stratification in the development of theoretical and methodological approaches and mathematical tools for the reflection, analysis, synthesis and coordination of asynchronous models of dynamically interacting subsystems of the enterprise control system to raise the quality of the rationale and cost-effectiveness of managerial decisions and reduce business risks (to get more about author's work in this area, we recommend referring to the author's profile, in particular, in Google Scholar).…”

Section: Methodological Review: Theory Hypothesismentioning

confidence: 99%

“…The article describes only a fragment constructed by one of the authors of the stratification metamodel of the electrotechnical enterprise (described in detail in [9]), which covers three of the five developed stratification representations of the enterprise (these strata are synchronized with each other at the level of models of their heterogeneous objects-subsystems) , namely:…”

Section: Methodological Review: Theory Hypothesismentioning

confidence: 99%

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Marketing Decision Making In The Conditions Of Information Uncertainty And Business Risks On The Basis Of The Stratification Metamodeling Toolkit

Glushchevsky¹,

Хорошун²,

Feofanov³

et al. 2019

Proceedings of the 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2

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The problematic subject area studied in this article is the sphere of marketing activity and the quality management system of industrial enterprises on the example of the enterprises of the electrical engineering industry. The article addresses the following problems of marketing management of enterprises producing electrotechnical products, such as reduction of financial demand from the side of potential consumers and unplanned negative changes in products market prices. It is substantiated that marketing decisions taken by the management of the enterprise concerning the pricing of production of own manufacturing are burdened with significant business risk and are accepted in the absence of reliable operational information about the current level of indirect production and nonproductive costs in the conditions of dynamic destabilizing influences from the outside of the enterprise. It is proposed to solve outlined problems using the instrumentation of a new object-oriented approach to the synthesis of complex models of the activities of industrial enterprises-stratification metamodeling. The article describes a fragment of a stratification metamodel, which is a reference for the enterprises of the electrical engineering industry. The construction of this fragment of the stratification metamodel was carried out in three analytical contexts: conceptual modeling of marketing decision making in the conditions of information uncertainty, model decomposition of the economic problem into the multilayered hierarchy of the complex of problems and their mathematical models, information management of model knowledge and generating on this basis an effective marketing solution due to the synchronization of inputs and outputs of models of up-to-date management tasks that have created a coherent system. The system of interconnected economic and mathematical models of price, cost and profit management developed in this article is a scientific basis for the synthesis of artificial intelligence enhancement systems when adopting effective marketing decisions for the preventive elimination of the threat of price destabilization of the enterprise portfolio.

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Section: Methodological Review: Theory Hypothesismentioning

confidence: 99%

Section: Methodological Review: Theory Hypothesismentioning

confidence: 99%

Marketing Decision Making In The Conditions Of Information Uncertainty And Business Risks On The Basis Of The Stratification Metamodeling Toolkit

Glushchevsky¹,

Хорошун²,

Feofanov³

et al. 2019

Proceedings of the 6th International Conference on Strategies, Models and Technologies of Economic Systems Management (SMTESM 2

Self Cite

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“…In the paper [12] it is offered to consider risk in system stratification metamodeling system. The authors propose to increase the investment attractiveness, profitability, and competitiveness of the enterprise by reducing various types of costs by implementing a BPM-system based on the proposed stratification metamodeling system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to formula (11) found the vector: But according to the selected membership function, the nodal points in which the membership function is 1 are equal to (0; 25; 50; 75; 100). To find the integral exponent, use formula (12) and multiply the corresponding exponents of both vectors and find their sum. A_N = 51.8194 = R 0 .…”

Section: Selection and Description Of Membership Function And Linguistic Variablesmentioning

confidence: 99%

Economic-mathematical model for complex risk assessment of the enterprise investment project using fuzzy logic

2021

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The article proposes an economic-mathematical model for determining a comprehensive risk assessment of the investment project of the enterprise which are based on the approaches of A. Nedosekin. The model is built using fuzzy logic and takes into account the probability of occurrence of each of the identified risks and the level of impact of each of them on the project. The probability of risk is set by experts in the form of points and converted into linguistic terms, and the level of influence of each of them on the project – the ratio of benefits and is determined using Fishburne scales. The proposed Project Risk Model consists of the following stages: formation of initial data using expert opinions; construction of a hierarchical project risk tree; determination of weight coefficients (Fishburne weights) of project risks; selection and description of membership function and linguistic variables; conversion of input data provided by experts from a score scale into linguistic terms; recognition of qualitative input data on a linguistic scale; determination of a complex indicator of investment project risks; interpretation of a complex indicator. The developed model allows managing the risks of the project to maximize the probability of its successful implementation, to compare alternative projects and choose less risky, to minimize the level of unforeseen costs of the project.

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Consideration of risk and safety in stratification metamodeling system

Cited by 2 publications

References 5 publications

Marketing Decision Making In The Conditions Of Information Uncertainty And Business Risks On The Basis Of The Stratification Metamodeling Toolkit

Marketing Decision Making In The Conditions Of Information Uncertainty And Business Risks On The Basis Of The Stratification Metamodeling Toolkit

Economic-mathematical model for complex risk assessment of the enterprise investment project using fuzzy logic

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