  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.
