Intelligent system for scheduling transportation within gas stations network

Abstract

The poster describes deployment experience of a decision support system for planning fuel supplies within a network of gas stations, which is based on simulation, multi-agent and expert modeling. Authors focus on various methods used in decision support system BPsim.DSS. Mainly the system is used by logistical management and planning departments. The system implement such features as forecasting next day fuel sales, searching for effective fuel supply plan, planning trips for each fuel tanker. Simulation model estimates fuel sales. Planning is implemented in BPsim.MSN on the basis of logical output visual machine, based on UML diagrams and T-SQL language scripts. Testing results prove effectiveness of decisions: sales volume can be increased by optimizing usage of fuel tankers.

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Cite this paper

@inproceedings{Aksyonov2012IntelligentSF, title={Intelligent system for scheduling transportation within gas stations network}, author={Konstantin A. Aksyonov and Eugene A. Bykov and Artyom Skvortsov and Olga Aksyonova and Elena F. Smoliy}, booktitle={Winter Simulation Conference}, year={2012} }