Evaluation of different use case configurations in a Robotic Mobile Fulfilment System

In recent years, hybrid order picking systems like Robotic Mobile Fulfilment Systems (RMFS) have become established and widely used in ecommerce. Companies from other logistics areas with different use cases often decide against investing in RMFS due to high investment risks or unknown performance benefits. This work contains a performance evaluation of three different use case configurations based on logistics areas in e-commerce and production conducted by a simulation model for multi-level RMFS with an integrated rolling planning approach. The model leads to a demonstrator supporting logistics managers in their decisionmaking. Those and other users can vary input parameters in the demonstrator, create different use case configurations, and run the simulation model to evaluate performance by key performance indicators (KPIs). The work depends on several discussions and interviews with logistics experts to define realistic use cases the logistics manager can identify.