Main tasks and objectives

• Existing information and knowledge from operational context will be used for structuring and understanding the trade pattern and pricing of services
• For fast, efficient, and ‘right’ reactions in regards to prioritization of cargo, closer integration with clients and improved overview of cargo assignments will be facilitated . Also, there will be an increased focus on ‘branding’ for market recognition 
• Increase the possibility to plan ahead by improved collection of market information from both the market and actors in the transport chain
• Contractual specifications which acknowledges capacity utilisation
• Enable efficient information exchange in the transport chain, and re-use of data for commercial analysis and decision support systems 
  

R&D Tasks

• Mapping of access, management and utilisation of information and control parameters in decision processes
• Tools enabling information to be structured must be defined and further how the information per se is transformed to decision supportive
• Categorisation and classification of problems and problem solving tools
• Development of models and tools for planning and pricing of capacity
• Development of models for establishing ‘casual’ connections on a macro and micro level, i.e. market, trends, fleet and fleet structures, etc.
• Development of mathematical models, algorithms and heuristics for operational planning, operation patterns, and pricing of capacity