Order Management Object-Centric Event Log in OCEL 2.0

An artificial event log simulates a company's order-to-shipment process, including customer orders, sales assignments, inventory checks, and payment handling. The data conforms to the OCEL 2.0 standard and was generated using CPN-Tools, extending a previous order management log. It models business rules like single-face-to-customer policies and incorporates market factors such as inflation affecting product prices and order volumes.

Use Cases

• Testing object-centric process discovery algorithms based on interactions between orders, customers, products, and employees.
• Analyzing the impact of business policies (e.g., single-face-to-customer) on process flow and resource allocation.
• Simulating and studying the effects of external market shocks, like inflation, on purchasing behavior and order volumes.
• Benchmarking conformance checking techniques for complex, multi-object event logs against a known simulated model.
• Developing predictive models for order completion times or payment delays using the sequence of event types.

Strengths

• Adheres to a formal standard (OCEL 2.0), ensuring structured interoperability for object-centric analysis.
• Includes a detailed simulation model (CPN-Tools) that generates the log, providing a ground truth for process behavior.
• Models a realistic business scenario with multiple interacting object types (orders, customers, products, employees, items) and complex rules.

Limitations

• Key metadata is missing: row count, column names, dataset size, and specific last update date are unknown across all sources.
• The data is entirely synthetic, limiting direct applicability to real-world, unforeseen process complexities and anomalies.
• Platform tags show inconsistency, with some entries listing irrelevant tags like 'Event (particle physics)' and 'Object (grammar)'.

Provenance

Source

Benedikt Knopp, RWTH Aachen University

Collection Method

Artificially simulated using CPN-Tools, extending a previous order management log.