IFAC-PapersOnLine · 2023 · 11 citations · 14 references
ComputingAutonomous SystemsSupply Chain ManagementArtificial IntelligenceAutomationSupply Chain EngineeringFood Supply ChainsIndustrial AutomationIntelligent AgentsMulti-agent SystemsSupply Chain CoordinationSupply ChainsAgent CoordinationAgent-based Supply Chain CoordinationFood Supply Chain DigitalizationMulti-agent LearningPerishable Supply Chain CoordinationSupply Chain AutomationSupply Chain Scenario AnalysisTwinning
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.
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