Warnke, PhillipPhillipWarnkeRiemer, TorbenTorbenRiemerBhardwaj, Debarshee2021-06-112021-06-112021-04-12#PLACEHOLDER_PARENT_METADATA_VALUE#https://media.suub.uni-bremen.de/handle/elib/473510.26092/elib/532Congestion delay produces logistical consequences for the supply chain performance for stored goods. A delayed delivery produces disruption at the next level in the supply chain. To deal with this problem, the study demonstrate the use of Google data, in particular Google Maps data of text-based data sources, which can contribute to the expanse of existing solution approaches based on google mapsentraffic congestionlogistics disruptionbig data analyticspredictive analytics600Bericht, Reporturn:nbn:de:gbv:46-elib47350