# Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach

arXiv: https://arxiv.org/abs/2309.04785 · HTML: https://mlsanity.com/paper/2309.04785/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Sep 2023.

## Built on by (most cited first, 2 of 2)

- [Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels](https://mlsanity.com/paper/2401.14183/) (2023)
- [A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization](https://mlsanity.com/paper/2504.03692/) (2025)

## Abstract (arXiv)

Trade disruptions, the pandemic, and the Ukraine war over the past years have adversely affected global supply chains, revealing their vulnerability. Autonomous supply chains are an emerging topic that has gained attention in industry and academia as a means of increasing their monitoring and robustness. While many theoretical frameworks exist, there is only sparse work to facilitate generalisable technical implementation. We address this gap by investigating multi-agent system approaches for implementing autonomous supply chains, presenting an autonomous economic agent-based technical framework. We illustrate this framework with a prototype, studied in a perishable food supply chain scenario, and discuss possible extensions.