DigiTWOP (Multi-level Digital Twin based Warehouse Optimisation)
The Dutch population is growing rapidly and cities are becoming increasingly crowded. This is also driving up demand for fast and efficient logistics. At the same time, logistics companies are facing major challenges: labour shortages, limited physical space and an increasing need for flexibility. Smarter warehouses can help to address these issues. Automation and digitisation offer opportunities, but existing technologies, such as robots and “digital twins” (virtual copies of processes), currently focus primarily on a single robot or part of the warehouse. As a result, much of the potential for optimisation remains untapped.
The Multi-level Digital Twin based Warehouse Optimisation (DigiTWOP) project focuses on developing an innovative digital twin that not only controls individual components, but also takes the entire warehouse into account in its control system. This digital twin is integrated with existing software that is already in use in warehouses. This enables the system to coordinate and improve the collaboration between robots and humans in a smarter way. This will increase efficiency and reduce pressure on human employees. First, research will be conducted to determine what data and technologies are needed to build this digital twin. Then, an initial working prototype (Minimum Viable Product) will be developed and tested in a real warehouse environment.
The result of DigiTWOP is a software prototype that demonstrates in a realistic setting how an entire warehouse can be managed more efficiently. The digital twin has reached a level of development where it is ready for further development. In the longer term, this approach will make it possible to further automate processes, respond better to staff shortages and use space more efficiently. In addition, the project provides valuable knowledge about the smart combination of people and technology in warehouses. These insights contribute to more sustainable, flexible and resilient logistics chains.
