PIK supports emergency response organizations in crisis situations providing automated disposition support of operating resources and to automatize communication with hospitals. More information
The research department Computational Logistics Lab (CLL) works 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: investigate improvement-potential; analyse, model and develop optimization strategies; integrate solutions in existing IT-infrastructure;
Focus: Routing, heuristic and metaheuristic optimization-procedures, transportation logistics.
PIK supports emergency response organizations in crisis situations providing automated disposition support of operating resources and to automatize communication with hospitals. More information
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 information
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 information
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 information
Design and evaluate a service architecture to utilize real-time traffic information for dynamical fleet scheduling. More information
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 information