Data Science, Challenges and Applications in Industrial Operations | Proceedings of the 19th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXIX Congreso de Ingeniería de Organización (CIO2025) | ISBN 9783032101266

Data Science, Challenges and Applications in Industrial Operations

Proceedings of the 19th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXIX Congreso de Ingeniería de Organización (CIO2025)

herausgegeben von Elena Barbadilla Martín, Alicia Robles-Velasco, María Rodríguez-Palero und Pablo Cortes
Mitwirkende
Herausgegeben vonElena Barbadilla Martín
Herausgegeben vonAlicia Robles-Velasco
Herausgegeben vonMaría Rodríguez-Palero
Herausgegeben vonPablo Cortes
Buchcover Data Science, Challenges and Applications in Industrial Operations  | EAN 9783032101266 | ISBN 3-032-10126-3 | ISBN 978-3-032-10126-6

Data Science, Challenges and Applications in Industrial Operations

Proceedings of the 19th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXIX Congreso de Ingeniería de Organización (CIO2025)

herausgegeben von Elena Barbadilla Martín, Alicia Robles-Velasco, María Rodríguez-Palero und Pablo Cortes
Mitwirkende
Herausgegeben vonElena Barbadilla Martín
Herausgegeben vonAlicia Robles-Velasco
Herausgegeben vonMaría Rodríguez-Palero
Herausgegeben vonPablo Cortes

This volume gathers revised papers from the 19th International Conference on Industrial Engineering and Industrial Management and the XXIX Congreso de Ingeniería de Organización (CIO2025), hosted in Seville, Spain. Focused on the themes of Supply Chain Management and Logistics, Operations Research, Modelling and Simulation, and Production Planning and Control, the contributions reflect the conference’s emphasis on data science as a driver of innovation and efficiency in industrial systems. The papers offer a blend of theoretical frameworks and practical applications, addressing optimization, decision-making, and performance improvement across complex production and logistics environments.