Набор данных из Zenodo · Berti, Alessandro

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

Лицензия
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Форматы
SQLITE, CSV, ZIP, XML, JSON, PY
Размер
15 МБ
Обновлён
17 авг. 2026 г.

Описание

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…

Описание из Zenodo, сокращённое.

Файлы (16)

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

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