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AI-based optimization for fleet management in maritime logistics

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.