In industry, automated guided vehicles and mobile robots have long been part of everyday operations. In hospitals, however, they are still rarely used. This is because hospitals differ greatly in size, building structure, processes and staffing. In addition, logistics must run smoothly without disrupting patient care. Yet automated transport could help address staff shortages, make processes more reliable and reduce costs.

This is where BluE comes in. The project is developing a modular toolbox that supports hospital decision-makers from the initial assessment through to a concrete implementation plan. It builds on many years of practical experience from numerous implementation projects, which is systematically captured and made digitally usable.

The toolbox consists of several components:
– An analysis tool captures a hospital's conditions, such as building layout and transport demand, with little effort.
– A blueprint configurator derives suitable process models, risk management plans and cost-effectiveness assessments from this data.
– A simulation shows in advance how introducing a transport system will affect material flows and the project timeline.

In addition, training concepts are being developed to make this knowledge accessible to the groups of people involved. In the long term, the aim is a tool that also makes it easier to introduce modern transport technologies in other complex environments.