Bankruptcy Risk Management of a Machine Builder

Telipenko, Elena; Захарова, А А

doi:10.4028/www.scientific.net/amm.682.617

Cited by 10 publications

(3 citation statements)

References 9 publications

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“…These tools cannot be invariably used for the support of other types of decision. Assessment fuzzy set model of an engineering enterprise bankruptcy risk [4], hierarchical model of a method choice for bankruptcy risk minimization [1], competitiveness assessment model of high technology engineering products [5], preproject risk assessment model for IT introduction [6], model for IT applications assessment for migration in cloud environment [7] and other models serve as examples for such special-purpose tools. Let's consider typical situations and problems that demand experts' help while decision making.…”

Section: Strategic Decision Making Support System Based On Expert Kno...mentioning

confidence: 99%

Decision Making Models on the Basis of Expert Knowledge for an Engineering Enterprise Strategic Management

Захарова

2015

AMM

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The paper outlines the complex of related models and decision making support methods based on expert knowledge in strategic management of an engineering enterprise. Represented models are considered to be multi-purpose ones; these models can be used for any engineering enterprise. The application of multi-purpose models increase quality and reasonableness of strategic decisions at the stages of strategic analysis, choice and control.

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Section: Strategic Decision Making Support System Based On Expert Kno...mentioning

confidence: 99%

Decision Making Models on the Basis of Expert Knowledge for an Engineering Enterprise Strategic Management

Захарова

2015

AMM

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“…Currently the decision support systems (DSS) are actively applied when managing various economic entities and organization structures [1][2][3][4][5][6][7][8] including company bankruptcy risk management [9][10][11]. DSS development requires proper mathematical models.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Support of Decision Support System When Managing A Company

Mitsel¹,

Козлов²,

Kataev³

et al. 2016

Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

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Abstract-Under current conditions it is impossible to manage a company to a good quality without specialized instruments. Currently decision support systems (DSS) are widely used to manage the bankruptcy risks of a company. Developing a DSS requires proper mathematical models. It allows return on capital forecasting and financial solvency revealing and, mainly, regulating the risk of bankruptcy event.The aim of the given paper is to throw light on the problem of decision support system development when estimating financial stability of companies. In the paper we consider the mathematical support of DSS -models of financial stability estimation and dynamic model of managing the resultant index of financial stability. In the paper we review the methods of bankruptcy risk estimation described in academic literature and describe some models developed by the authors.In the paper the authors provide a brief review of DSS designed for managing the bankruptcy risk of companies, analyze the financial stability of 30 oil and gas companies organized as open joint stock companies. It was shown that there are no universal models for estimating company bankruptcy risk. The limits to applicability of the models depend upon the economic conditions under which the models were developed, notably, it was shown that foreign models are insufficient for Russian conditions. The authors provide their models of financial stability estimation of oil and gas and machine-building companies which allow taking into consideration quantitative and qualitative indices which can be both standardized and non-standardized. The models allow taking into account industry-specific peculiarities of companies and can be applied to estimate the bankruptcy risk. (Abstract) Keywords -systems of decision support, financial stability, bankruptcy, bankruptcy risk models, factor analysis, discriminate models, fuzzy set models

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“…It should also be noted that the managers and the experts work under the conditions of information insufficiency and uncertainty. If absence of information can be, at least in principle, solved by one of the following means: exploration, previous experience, experimental work, and the uncertainty associated with lack of experts agreement can be solved to some extent by application of fuzzy sets approach [1,2]. That's why to build adequate mathematical models of assessing the product competitiveness beside the multi-criteria approach it is relevant to apply the group of fuzzy methods for mutual exclusion of unsatisfactory features and the opportunity of comparing the obtained results which improves the decision flexibility in the area of the studied problem [3].…”

Section: Introductionmentioning

confidence: 99%

The Models of Supporting the Strategic Decisions on Engineering Products Competitiveness

Tseplit

Григорьева

Skripkina

2015

AMM

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The authors suggest the models of competitiveness assessment of engineering products at the early stages of the product life cycle. The criteria-based approach and the machinery of fuzzy sets theory are applied when developing the models. The model of consumers’ preferences forecasting allows calculating the prospective demand, motivation of consumer behavior, their attitude to the supplied product. The model based on the pair-wise comparison approach calculates fuzzy sets of various degrees of product competitiveness. The model of engineering product rating ensures rational selection of alternatives under the conditions of collective selection at all stages of the product life cycle.

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Bankruptcy Risk Management of a Machine Builder

Cited by 10 publications

References 9 publications

Decision Making Models on the Basis of Expert Knowledge for an Engineering Enterprise Strategic Management

Decision Making Models on the Basis of Expert Knowledge for an Engineering Enterprise Strategic Management

Mathematical Support of Decision Support System When Managing A Company

The Models of Supporting the Strategic Decisions on Engineering Products Competitiveness

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