Generative AI-Powered Autonomous Decision Framework for Manufacturing Exceptions and Real-Time SAP S/4HANA Supply Network Coordination

Modern manufacturing networks operate under tightly coupled production, material, quality, and equipment constraints, making exception management a central challenge for enterprise resource planning systems. Conventional exception handling generally depends on predefined rules, manual investigation, and sequential escalation, which can delay corrective action when manufacturing disturbances propagate across production and supply processes. This research proposes a Generative AI-powered autonomous decision framework for manufacturing exceptions and real-time SAP S/4HANA supply network coordination. The framework conceptually integrates event detection, contextual diagnosis, multi-agent reasoning, constraint assessment, decision generation, SAP transaction orchestration, and continuous feedback. The theoretical foundation is derived from the provided literature concerning machining deformation, residual stress, ring-rolling processes, casing manufacturing, dimensional inspection, and thermal distortion. These studies demonstrate that manufacturing exceptions frequently originate from interacting physical and process variables rather than isolated events. The proposed framework therefore treats exceptions as contextual, cross-functional decision problems rather than simple alerts. A multi-agent generative AI architecture is introduced to coordinate production, procurement, quality, maintenance, inventory, and supply-network reasoning while maintaining SAP S/4HANA as the transactional system of record. The analysis indicates that such an architecture can improve exception prioritization, shorten decision cycles, support explainable recommendations, and coordinate corrective actions across supply-network functions. However, autonomy must remain bounded by authorization policies, process constraints, data quality, and human governance. The study contributes a conceptual architecture linking generative AI reasoning with manufacturing exception management and SAP-integrated operational coordination.

Generative AI, SAP S/4HANA, Autonomous Decision-Making, Manufacturing Exceptions

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