Statistical Modelling of Fin"Ancial Stability of Logistics System
The 13th International Conference on Harbor Maritime Multimodal Logistics Modelings & Simulation 2010
Vladimirs Jansons, Vitālijs Jurēnoks, Konstantins Didenko

In this article the authors proceed with the research of the stability of transport logistics system (TLS) as a set of separate units providing the whole cycle of logistics operations when delivering cargoes from the consignor to the consignee. In the previous papers (see references) the authors presented the research of financial stability of logistics systems under conditions of uncertainty applying different methods of modelling, namely, statistical modelling - Monte Carlo method, dynamic programming, benchmarking as well as nonparametric methods of modelling. In this article the analysis of, financial ,stability of the logistics system being investigated is made. And most attention is paid to modelling and analysis of the state of the required financial reserve of the logistics firm providing the financial stability of the whole logistics system on the example of delivering cargoes from the consignor to the consignee by a Latvian logistics firm (LF).


Atslēgas vārdi
transport logistics system (TLS), identifying of weak spots, benchmarking, financial stability, statistical modelling, systems optimization

Jansons, V., Jurēnoks, V., Didenko, K. Statistical Modelling of Fin"Ancial Stability of Logistics System. No: The 13th International Conference on Harbor Maritime Multimodal Logistics Modelings & Simulation, Francija, Morocco, 13.-15. oktobris, 2010. Fez: 2010, 1.-7.lpp.

Publikācijas valoda
English (en)
RTU Zinātniskā bibliotēka.
E-pasts: uzzinas@rtu.lv; Tālr: +371 28399196