We at AIDEAS Project proudly participated in CIO 2024, the 18th Congress of Organizational Engineering in Madrid on July 4–5, 2024. Our presence highlighted our commitment to advancing AI-driven solutions in production planning and scheduling. One of our team members presented the study “Conceptual Framework for Optimization of Capacitated Lot-Sizing and Scheduling Problem.” Co-authors Ana Esteso Álvarez, Maria del Mar Alemany Diaz, and Raúl Poler developed this framework through a structured analysis of 43 articles to classify challenges in simultaneous lot-sizing and scheduling.

We also showcased our project paper, “Facilitating AI-based Solutions Integration in Production Planning: Development of an Interoperable Data Model,” co-authored by Beatriz Andrés Navarro, Miguel A. Mateo-Casali, and Raúl Poler. This work identifies and adapts a standard data model that enables clear communication among various AI algorithms, driving interoperability in production planning systems. Additionally, UPV enriched the congress with a presentation on “Smart tuning of algorithm parameters by deep reinforcement learning.”

At CIO 2024, we forged new partnerships, engaged in stimulating debates, and strengthened our commitment to innovation.

For more information, visit the CIO 2024 website.