Resumo

PENALVER-HIGUERA, Manuel José; RODRIGUEZ-ALEGRE, Lino Rolando; LOPEZ-PADILLA, Rosario Del Pilar  e  ISEA-ARGUELLES, Josía Jeseff. Engineering prompts in industry 4.0: optimization and intelligent automation of industrial processes. Ingenium et Potentia [online]. 2025, vol.7, n.12, pp.35-49.  Epub 13-Maio-2025. ISSN 2665-0304.  https://doi.org/10.35381/i.p.v7i12.4438.

This study reviews the impact of prompts engineering and artificial intelligence in Industry 4.0, focusing on their application in decision making optimization, industrial process optimization, and supply chain and inventory improvement. The review shows that effective prompts design improves the responsiveness of AI models for decision making and operational efficiency, allowing companies to reduce their costs. In addition, AI applied to supply chain and inventory management helps predict demand and reduce logistics costs. However, challenges remain, such as variability in the quality of AI model responses in correspondence with designed prompts, and risks of response bias, which requires further training and the establishment of ethical standards.

Palavras-chave : Prompts engineering; artificial intelligence; industry 4.0; optimization..

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