FROM DATA TO VALUE
MOTION DATA INTELLIGENCE
Core Competencies
CLL: Computational Logistics Lab
CLL: Computational Logistics Lab
The research department Computational Logistics Lab (CLL) is specialized on the development of sophisticated planning and optimization procedures for complex logistical tasks, such as vehicle routing for waste disposal or for service technicians. Put to practical use as decision support tools, they can help minimize cost factors – such as fuel consumption or machine time – while simultaneously maximizing service quality – e.g. the plans’ robustness or the punctuality of deliveries.
Services and research topics: Tour planning and scheduling for vehicle fleets, efficient routing, optimization methods in production, interactive decision support for planning tasks
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Publications from this core competency
Big-bucket Scheduling mit variablen Ressourcenbelegungsprofilen in einem Produktforschungslabor eines petrochemischen Industriebetriebs.
Visualization of Routing Graphs to ease the Determination of problem-specific Cutting Planes in MILPs and Heuristic Enhancements.
Candidate Set Strategies and Routing Cuts for a Flow-based MIP solving TSP’s and CVRP’s.
Application of path based line planning in public bus transport
