Analytical Support for Managing Settlements with Counterparties in the Context of Ensuring Enterprise Solvency
The specific features of the formation of analytical support for managing settlements with counterparties, which includes the diagnostic and optimization levels and is aimed at ensuring enterprise solvency, are disclosed, the method that provides support for management decisions being a system of de...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
PH "INZHEK"
2018-06-01
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Series: | Problemi Ekonomiki |
Subjects: | |
Online Access: | http://www.problecon.com/export_pdf/problems-of-economy-2018-2_0-pages-396_402.pdf |
Summary: | The specific features of the formation of analytical support for managing settlements with counterparties, which includes the diagnostic and optimization levels and is aimed at ensuring enterprise solvency, are disclosed, the method that provides support for management decisions being a system of descriptive, normative and optimization models. The diagnostic level of analytical support contains templates to implement standard procedures for analyzing indicators that characterize the process of managing receivables and payables as well as to form diagnostic conclusions and recommended operational management decisions. The verification of the diagnostic block was carried out according to the State Statistics Service of Ukraine. The basis of the optimization level is the economic and mathematical model for optimization of the structure of settlements with counterparties in the context of ensuring enterprise solvency. In the model, solvency is ensured by maximizing the current liquidity ratio and keeping the ratios of quick and absolute liquidity within optimal limits, the remaining constraints are normative models of the diagnostic level. There suggested directions for expanding the basic optimization model as well as the ways to eliminate the incompatibility of the constraint system, which took place when validating analytical support in an enterprise of the processing industry. |
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ISSN: | 2222-0712 2311-1186 |