CLL: Computational Logistics Lab

Reference projects all Projects

ServicePLAN+ – dynamic vehicle disposition in the service-industry

In the project ServicePLAN+ a pilot system will be developed and evaluated to calculate inter-modal tours that support dynamic vehicle disposition in the service-industry. more

More R&D Projects

LabSchedulerPlus

LabSchedulerPlus is a research and development project in cooperation with the Johannes-Kepler-University Linz, aimed at developing a planing tool for a company from the chemical industries. more

PIK – Patient transport management in a crisis

PIK supports emergency response organizations in crisis situations providing automated disposition support of operating resources and to automatize communication with hospitals. more

STEP – online measurements for dispatching of waste disposal vehicles

In STEP, a prototype of a planning system will be developed and that uses online measurements from waste containers for the dispatching of waste disposal vehicles. Waste container measurements such as fill-level and temperature will be integrated into a mathematical planning-procedure to calculate and visualize optimal routes for daily, demand-driven waste disposal using large containers. more

RACE

RACE is a basic research project which studies the automated selection and parameterization of heuristic optimization methods. more

TPA – Route Scheduling for Field Staff

The software prototype enables a significant efficiency increase in route scheduling. It is tailored to meet the requirements of field staff, especially for small and medium-sized companies. more

FLOW – Dynamical Fleet Scheduling

Design and evaluate a service architecture to utilize real-time traffic information for dynamical fleet scheduling. more

SUEHC – Securing Urban Extramural Health Care

Optimising and securing the delivery of mobile care services in urban as well as in rural areas in case of catastrophes (for example, in case of flooding). SUEHC examines the critical infrastructure for possible disruptive figures. more