Abstract
Dynamic optimization is of high practical relevance for many production and logistics processes. Often however, in research, the dynamics are neglected and an algorithm or optimization is presented for a static decision scenario. The effects that occur with implementing decisions one by one in a dynamic environment subject to other dynamic events have not received as much attention as static problem scenarios. We think this is in part due to the increased complexity of describing a dynamic environment and parameterizing it in a meaningful way. In this publication we present three dynamic environments in the context of warehouse logistics where manipulation occurs by gantry cranes. Our scenarios are heavily inspired by real-world steel logistics operations. We provide free open source implementations of these dynamic environments.
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