Based on the directly follows graph and the provided details, here are some potential root causes for the performance issues in the process, focusing on process and data specific considerations:

**Truck:**

* **Multiple "Load Truck" events:**  Trucks seem to go through multiple "Load Truck" events before moving to "Drive to Terminal." This could indicate inefficiencies in the loading process or trucks being used for short hauls within the terminal.

**Container:**

* **Long duration for "Order Empty Containers":**  The long duration for "Order Empty Containers" suggests a bottleneck in acquiring empty containers. This could be due to limited availability or slow retrieval processes.
* **Looping between "Weigh" and "Bring to Loading Bay":**  Some containers seem to loop between "Weigh" and "Bring to Loading Bay" events. This back-and-forth movement might indicate issues during weighing or preparation for loading.
* **Rescheduling containers:** A small number of containers go through multiple rescheduling events, potentially causing delays.

**Vehicle:**

* **Rescheduling containers:** Similar to containers, some vehicles are rescheduled multiple times, impacting their availability.
* **"Book Vehicles" loop:** A small number of vehicles seem to be stuck in a loop between "Book Vehicles" events, potentially due to unavailability or allocation issues.

**General process bottlenecks:**

* **Long duration for "Depart":** The long duration for "Depart" suggests a potential bottleneck in the departure process itself, possibly due to delays at the terminal exit.
* **Rescheduling events:** The presence of reschedule events for both containers and vehicles indicates disruptions in the planned flow, causing delays.


**Data considerations:**

* **Limited object granularity:** The data focuses on events for different object types (trucks, containers) but might benefit from a more granular view (specific truck/container IDs) to pinpoint individual performance issues.

These are just some potential causes based on the provided information. Further analysis with additional data points or domain knowledge might be needed to pinpoint the exact root causes.
