Manufacturing supply chain applications: ai-based optimization for fleet management in maritime logistics

  • Authors:
  • Agostino Bruzzone;Alessandra Orsoni;Roberto Mosca;Roberto Revetria

  • Affiliations:
  • University of Genoa, Italy;University of Genoa, Italy;University of Genoa, Italy;University of Genoa, Italy

  • Venue:
  • Proceedings of the 34th conference on Winter simulation: exploring new frontiers
  • Year:
  • 2002

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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.