Welcome to the Decision Optimization Lab at the IT University
The Decision Optimization Lab (DOL) conducts research on novel business analytics and operations research problems. Our approach is to acquire deep understanding of technical and business requirements on site and develop mathematical models and algorithmic solutions that can be embedded in industrial decision support systems. Our methods include mathematical programming, constraint programming, meta-heuristics, forecasting, machine learning, and AI-techniques. These pages describe our past and current research activities.
- 28 Feb 13 - Our paper Late Acceptance Hill Climbing for the Liner Shipping Fleet Repositioning Problem was accepted for the 14th EU/ME Workshop.
- 1 Feb 13 - Our paper CP Methods for Scheduling and Routing with Time-Dependent Task Costs was accepted for CPAIOR'2013.
- 24 Jan 13 - Rune has been selected to give a talk at INFORMS 13th Annual Conference on Business Analytics and O.R., 7-9 April, 2013.
- 15 Jan 13 - DOL will co-organize the 4th International Conference on Computational Logistics (ICCL'13) in Copenhagen, summer 2013.
- 1 Jan 13 - Our paper Features for Exploiting Black-Box Optimization Problem Structure was accepted for LION'7.
- 5 Aug 12 - Our paper A Placement Heuristic for a Commercial Decision Support System for Container Vessel Stowage was accepted for CLEI'12.
Containership Stowage Planning
We are always looking for MSc thesis students to work on containership stowage planning. We have conducted research on this problem for more than 7 years with Global Stowage Planning, Maersk Line, Singapore and have developed some of the world’s most accurate and fast optimization frameworks for this problem. The applied methods range from mathematical programming over constraint programming to logical inference techniques like SAT-checking and binary decision diagrams. Some recollection of high-school physics is an advantage as ships technically are floating beams exposed to stress forces.
Please contact Rune for further information.
Port-to-Port Cargo Forecasting
Accurate port-to-port 0-8 week vessel cargo forecasts in the liner shipping industry is necessary to stow vessels and flow cargo efficiently. A liner shipping company can predict cargo volumes from current and historical shipping orders but lack information about how their large customers plan to use their supply chains. For that reason, liner shipping companies seldom have a good outlook beyond 3 weeks. A logistics company, on the other hand, provides supply chain management services to customers and is therefore informed months ahead of time what the customer plans to ship. This information gives logistics companies a unique position in the marked as they partly have concrete orders to make long term cargo predictions.
Visiting Port of Tanjung Pelepas
On 20 May 2010, we made a visit to Port of Tanjung Pelepas with Ange Optimization. The Port of Tanjung Pelepas (abbreviation: PTP, UN/LOCODE: MYTPP) is a port for container ships located on the eastern mouth of the Pulai River in south-western Johor, Malaysia. Receiving its maiden vessel on 10 October 1999 on