Dataset de Zenodo · Berti, Alessandro

Simulated Inventory Management Database and Object-Centric Event Logs for Process Analysis

Licencia
CC BY 4.0uso comercial permitidoTexto de la licencia
Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
Formatos
SQLITE, CSV, ZIP, XML, JSON, PY
Tamaño
15 MB
Actualizado
17 ago 2026

Descripción

Abstract: This repository/dataset provides a suite of Python scripts to generate a simulated relational database for inventory management processes and transform this data into object-centric event logs (OCEL) suitable for advanced process mining analysis. The primary goal is to offer a synthetic yet realistic dataset that facilitates research, development, and application of object-centric process mining techniques in the domain of inventory control and supply chain management. The generated event logs capture common inventory operations, track stock level changes, and are enriched with key inventory management parameters (like EOQ, Safety Stock, Reorder Point) and status-based activity labels (e.g., indicating understock or overstock situations). Overview: Inventory management is a critical business process characterized by the interaction of various entities such as materials, purchase orders, sales orders, plants, suppliers, and customers. Traditional process mining often struggles to capture these complex interactions. Object-Centric Process Mining (OCPM) offers a more suitable paradigm. This project provides the tools to create and explore such data. The workflow involves…

Descripción de Zenodo, abreviada.

Archivos (16)

  • SQLITEinventory_management.sqlite448 kB
  • CSVinventory_management.ocel.csv169 kB
  • ZIPinventory_management.ocel.zip58 kB
  • XMLinventory_management.xml821 kB
  • XMLinventory_management_postprocessed.xml4,3 MB
  • ZIPinventory_management_postprocessed.ocel.zip186 kB
  • JSONinventory_management.json995 kB
  • CSVinventory_management_postprocessed.ocel.csv809 kB
  • JSONinventory_management_postprocessed.json5,9 MB
  • SQLITEinventory_management_postprocessed.sqlite1,5 MB
  • PY05_ocel_csv_to_ocel.py3 kB
  • PY04_postprocess_activities.py11 kB
  • PY02_database_to_ocel_csv.py6,5 kB
  • DBinventory_management.db244 kB
  • PY03_ocel_csv_to_ocel.py144 B
  • PY01_generate_simulation.py23 kB

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