  Trade restrictions, the COVID-19 pandemic, and geopolitical conflicts have
significantly exposed vulnerabilities within traditional global supply chains.
These events underscore the need for organisations to establish more resilient
and flexible supply chains. To address these challenges, the concept of the
autonomous supply chain (ASC), characterised by predictive and
self-decision-making capabilities, has recently emerged as a promising
solution. However, research on ASCs is relatively limited, with no existing
studies specifically focusing on their implementations. This paper aims to
address this gap by presenting an implementation of ASC using a multi-agent
approach. It presents a methodology for the analysis and design of such an
agent-based ASC system (A2SC). This paper provides a concrete case study, the
autonomous meat supply chain, which showcases the practical implementation of
the A2SC system using the proposed methodology. Additionally, a system
architecture and a toolkit for developing such A2SC systems are presented.
Despite limitations, this work demonstrates a promising approach for
implementing an effective ASC system.
