AngelStow: A Commercial Optimization-Based Decision Support Tool for Stowage Planning
- Alberto Delgado-Ortegon,
- ,
- Nicolas Guilbert
- Ange Optimization
Research Output:
Contribution to conference - NOT published in proceeding or journal
Conference abstract for conference
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Contribution to conference - NOT published in proceeding or journal
Conference abstract for conference
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 09/2011
Publication status
Published - 09/2011
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.
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.
Access to documents
Submitted manuscript, 334.26 KB
Related Event
Title
2nd International Conference on Computational Logistics
Event type
ConferenceDate
19/09/2011 - 22/09/2011Location
University of HamburgHamburgGermany
