Modelling of financial stability in logistic in conditions of uncertainty

被引:0
作者
Jurenoks, Vitalijs [1 ]
Jansons, Vladimirs [1 ]
Didenko, Konstantins [1 ]
机构
[1] Riga Tech Univ, Fac Engn Econ, Kalku Iela 1, LV-1658 Riga, Latvia
来源
21ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2007: SIMULATIONS IN UNITED EUROPE | 2007年
关键词
logistics systems; Monte-Carlo statistical method; nonparametric modelling; analysis of financial stability; systems optimization;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is well known that random character may be an attribute inherent to the majority of economic events and processes, including also logistical processes. Modelling of logistical processes in conditions of uncertainty is complicated due to the lack of trustworthy information describing the conditions of uncertainty, and also in view of the random character of occurrences of deviations in the course of processes researched. Ignoring the evaluation of effect of certain factors during the research of processes occurring in transport logistics system (TLS) frequently expands "zone of risk", entailing mistakes and discrepancies in the real time situation that, in turn, may finally result in significant material losses. The principal objectives of this research work are: to consider the scheme of interaction of TLS participants regarding the process of cargo deliveries from the consignor to the consignee; to analyse the financial flows of TLS on the basis of a Latvian logistics firm; to consider an option of modelling the financial stability management of TLS participants in conditions of uncertainty; to model "zones of risk" of the financial performance of TLS participants in conditions of uncertainty.
引用
收藏
页码:30 / +
页数:2
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