Process mining algorithms aim at the automatic extraction of business process models from logs. Most of these algorithms perform well on single-system event traces that explicitly refer to a process instance or case. However, in many operational environments such case identifiers are not directly recorded for events. In supply chain processes there are even further challenges, since different identification numbers, vertical integration and numerous aggregation steps prevent individual work steps to become traceable as a case. As a result, there are little experiences with the use of process mining in supply chains.