Production planning relies on accurate predictions of logistics performance indicators for production orders. Unforeseen interdependencies operational among production orders, such as unplanned prioritisation, may lead to compounding delay effects, which may negatively affect logistics performance. In this contribution, we present a general framework as well as new interdisciplinary methods for understanding production order interdependencies. We deliver first evidence of such effects in real manufacturing systems, which may lead to performance improvements when predicting logistics performance. Based on the results of this contribution, first insights into the drivers of such effects are derived.