REAL-TIME LOGISTICS

Computational Logistics comprises the planning and implementation of large/complex logistics tasks using computations and advanced decision support and control. It is applied in various areas, such as the flow and storage of goods or services as well as related information from their source to their destination. Typically, optimization models and algorithms are developed, verified and applied for planning and executing complex logistics tasks, e.g., for finding the most efficient scheduling/plan for the transport of passengers or goods. These models and algorithms are integrated with advanced computer technology for getting satisfactory results in appropriate time even for large scale problem instances and providing interactivity, visualization etc. for a better understanding and problem solution. Furthermore, Computational Logistics involves the use of information systems and modern communication and information technology (IT) for the design, planning and control of logistics..