AngelStow: A Commercial Optimization-Based Decision Support Tool for Stowage Planning

Alberto Delgado-Ortegon, Rune Møller Jensen, Nicolas Guilbert

Research output: Contribution to conference - NOT published in proceeding or journalConference abstract for conferenceResearchpeer-review

Abstract

Nowadays a considerable part of trade goods are seaborne, with around 90% of all non-bulk cargo carried by container vessels. These vessels follow specific routes loading and unloading containers at different ports. A Stowage Plan (SP) assigns containers to load in a port to vessel slots. Good SPs save port fees, optimize use of vessel capacity, and reduce bunker consumption. Stowage Coordinators (SCs) produce these plans manually with the help of graphical tools, but high-quality SPs are hard to generate with the limited support they provide. In this abstract, we introduce AngelStow which is a commercial optimization-based decision support tool for stowing container vessels developed in
collaboration between Ange Optimization and The IT University of Copenhagen. The tool assists SCs in the process of generating SPs interactively, focusing on satisfying and optimizing constraints and objectives that are tedious to deal with for humans, while letting the SCs use their expertise to deal with hard combinatorial objectives and corner cases.
Original languageEnglish
Publication dateSept 2011
Number of pages2
Publication statusPublished - Sept 2011
Event2nd International Conference on Computational Logistics - University of Hamburg, Hamburg, Germany
Duration: 19 Sept 201122 Sept 2011
Conference number: 2

Conference

Conference2nd International Conference on Computational Logistics
Number2
LocationUniversity of Hamburg
Country/TerritoryGermany
CityHamburg
Period19/09/201122/09/2011

Keywords

  • Container Stowage
  • Optimization-based Decision Support
  • Maritime Trade Logistics
  • Stowage Plan Automation
  • Interactive Planning Tools

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