Skip to search boxSkip to navigationSkip to main content

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

  • Ange Optimization
Research Output:
Contribution to conference - NOT published in proceeding or journal
Conference abstract for conference
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to conference - NOT published in proceeding or journal
Conference abstract for conference
Peer-review

Original language

English

Publication 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.

Access to documents

Submitted manuscript, 334.26 KB

Related Event

Title

2nd International Conference on Computational Logistics

Event type

Conference

Date

19/09/2011 - 22/09/2011

Location

University of HamburgHamburgGermany