Hybrid AI and LLM-Enabled Agent-Based Real-Time Decision Support Architecture for Industrial Batch Processes: A Clean-in-Place Case Study

Abstract excerpt

A hybrid AI and LLM-enabled architecture is presented for real-time decision support in industrial batch processes, where supervision still relies heavily on human operators and ad-hoc SCADA logic. The framework combines deterministic rule-based agents, fuzzy and statistical enrichment, and large language models (LLMs) to support monitoring, diagnostic interpretation, preventive maintenance planning, and operator...

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Identifiers and source

Literature Corpus work

3951d832-3776-5aac-b63e-6c3c6786f08b

DOI

10.20944/preprints202512.2023.v1