Title :
AI-based optimization for fleet management in maritime logistics
Author :
Bruzzone, Agostino ; Orsoni, Alessandra ; Mosca, Roberto ; Revetria, Roberto
Author_Institution :
Dept. of Production Eng., Genoa Univ., Italy
Abstract :
This paper outlines the features of an automated decision support system (DSS) developed to optimize the logistics of maritime transportation for a large chemical company. The paper focuses on the design and implementation of an optimization module to complement a DSS architecture including dynamic databases, decision heuristics, and dynamic process simulation, for the systematic generation of cost-effective fleet configurations capable of meeting the company´s production requirements.
Keywords :
chemical industry; decision support systems; discrete event simulation; distributive data processing; logistics data processing; optimisation; ships; transportation; artificial intelligence; automated decision support system; cost-effective fleet configurations; decision heuristics; dynamic databases; dynamic process simulation; fleet management; large chemical company; maritime logistics; maritime transportation; optimization; Artificial intelligence; Chemical engineering; Chemical products; Decision support systems; Design optimization; Logistics; Marine transportation; Marine vehicles; Production engineering; Testing;
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
DOI :
10.1109/WSC.2002.1166375
