This paper introduces and studies the Multi-Level Bin Packing Problem with Time Windows. This is a NP-hard problem with real-world applications in logistics. This problem states that items with certain sizes need to be packed inside bins without exceeding their capacity. These bins then again need to be assigned to other bins while minimizing the cost of the used bins. At the same time, each item has a time interval and there must be a common time point between all the items that are packed in the same bin that should be as early as possible. Not much research has been done regarding this problem. In this paper, we suggest multiple models that can be solved using Integer Programming and compare their performance. The results show slight differences in performance between the models.