Published February 27, 2026 | Version v2
Dataset Open

Supplementary material for publication "Multi-Echelon Inventory Optimization in Supply Chain Networks: Exploring Network Structures and Predictive Modeling"

  • 1. ROR icon Frankfurt University of Applied Sciences
  • 2. ROR icon University of Luxembourg
  • 3. ROR icon BASF (United Kingdom)

Description

This dataset collects different supply chain network structures generated artificially. We present four types of networks: Serial, Convergent, Divergent, and General, each type consisting of 20,000 individual instances. All 80,000 network instances generated are available to researchers and practitioners in Excel. The repository consists of separate files for each network instance, consisting of each network inventory data, node connections, and a visual representation.

V2.0 Updates

The updates to this dataset include new allocations for the mean and standard deviation of the end nodes' demands. Refer to the full article for specific details on network generation and parameter allocation.

Files

General_Networks.zip

Files (2.9 GB)

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