CONVERSATIONAL AGENTS FOR DECENTRALIZED B2B ORCHESTRATION IN MANUFACTURING SCM
DOI:
https://doi.org/10.65009/fvx61n40Abstract
Manufacturing supply chains demand coordination across autonomous partners while
preserving local systems and policies; this paper presents a decentralized, agent-driven pipeline that
transforms standard B2B interactions into executable con- versation policies for automation at scale. The
approach in- gests UML sequence models and industry documents, derives conversation structure via
relational constraints on message roles, and synthesizes role-specific state machines that enact procurement,
logistics, and billing exchanges across firms. A prototype aligns with common standards, generates Dooley
style collaboration views, and augments agent behaviors with exception patterns (timeouts, partial
commitments, late deliveries) to sustain continuity under operational variability. Case-based evaluation in
an automotive-style scenario indicates feasibility for interoperable automation without centralized
marketplaces, highlighting pathways for standards convergence and robust exception-aware execution in
distributed SCM.
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