DUCTILE: Agentic LLM Orchestration of Engineering Analysis in Product Development Practice
Alejandro Pradas-Gomez, Arindam Brahma, Ola Isaksson

TL;DR
This paper introduces DUCTILE, a novel agentic orchestration approach using LLMs to automate engineering analysis tasks, effectively handling data and process variability while supporting engineer supervision.
Contribution
It presents a new separation of adaptive LLM orchestration from deterministic tool execution, enabling flexible, robust automation in engineering workflows.
Findings
Successfully handled input deviations in an aerospace structural analysis case
Produced correct, compliant results across 10 independent runs
Confirmed effectiveness through expert evaluation and real-world deployment
Abstract
Engineering analysis automation in product development relies on rigid interfaces between tools, data formats and documented processes. When these interfaces change, as they routinely do as the product evolves in the engineering ecosystem, the automation support breaks. This paper presents a DUCTILE (Delegated, User-supervised Coordination of Tool- and document-Integrated LLM-Enabled) agentic orchestration, an approach for developing, executing and evaluating LLM-based agentic automation support of engineering analysis tasks. The approach separates adaptive orchestration, performed by the LLM agent, from deterministic execution, performed by verified engineering tools. The agent interprets documented design practices, inspects input data and adapts the processing path, while the engineer supervises and exercises final judgment. DUCTILE is demonstrated on an industrial structural…
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Taxonomy
TopicsManufacturing Process and Optimization · Design Education and Practice · Flexible and Reconfigurable Manufacturing Systems
