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
During Madeira Digital Transformation Week (MDTW 2024) in Funchal, AIDEAS Project hosted a plenary meeting on June 27-28. The meeting showcased our latest insights and pilot advancements in digital transformation. AIDEAS sponsored both the IEEE ICE’24 Conference and MDTW 2024. We joined a workshop on June 25 titled “Innovations in
Attention European industrial machinery manufacturers! The AIDEAS project, your one-stop shop for AI-powered lifecycle optimization, has extended its Early Adopter Program deadline. This means more time for you to gain a significant edge in production efficiency and sustainability. AIDEAS: Empowering Your Entire Production Cycle AIDEAS offers a comprehensive suite of
At the DSA International Summer Conference 2024 in Valencia, Spain (June 6–7), we at AIDEAS Project proudly unveiled our first research results. Our team presented “A Model for Multi-Depot Multiple Travelling Salesman Problem and Advanced Resolution Strategies” by Juan Pablo Fiesco, Beatriz Andrés, and Raúl Poler. This Python-based model powers
The first day at Manufacturing Partnership Days in Brussels delivered inspiring sessions and engaging debates. At the event organized by EFFRA from May 7th to 8th, we energized the audience at our AIDEAS Project stand, where we showcased our innovative AI technologies that transform the industrial equipment life cycle. Grigoris
The AIDEAS project makes a significant impact at I-ESA 2024, taking place in Crete, Greece from April 10th to 12th. Our workshop, «AI Driven Industrial Equipment Product Life Cycle (AIDEAS),» will showcase six groundbreaking papers that highlight innovative AI technologies transforming every stage of industrial equipment’s life cycle—from production optimization
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101057294
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Stefanos Vrochidis (CERTH)
IIias Gialampoukidis (CERTH)
Raul Poler (UPV)
