Artificial intelligence for optimization and indoor real-time locating systems. A case study in winery logistics
- Marta Plaza-Hernández 1
- Ricardo S. Alonso 1
- Javier Parra-Domínguez 1
- Eugenia Pérez-Pons 1
- Álvaro Arranz
- Eva Navascués
- Juan M. Corchado 1
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1
Universidad de Salamanca
info
- Javier Parra Domínguez (ed. lit.)
- Sara Rodríguez González (ed. lit.)
- Javier Prieto Tejedor (ed. lit.)
- Juan Manuel Corchado Rodríguez (ed. lit.)
Éditorial: Ediciones Universidad de Salamanca ; Universidad de Salamanca
ISBN: 978-84-1311-579-5
Année de publication: 2021
Pages: 93-102
Congreso: Workshop on disruptive information and communication technologies for innovation and digital transformation (3. 2020. Salamanca)
Type: Communication dans un congrès
Objectifs de Développement Durable
Résumé
Spain is the EU country with the largest area of cultivated vineyards. However, it experiences a phenomenon of disaggregation and smallholdings, making it complicated for winegrowers to invest in technification. This paper describes an experiment that will be conducted in the Spanish wine company Pago de Carraovejas. The experiment aims at optimising storage and decision-making when packaging for shipment by developing anArtificial Intelligence system. A module will be created for the improvementof the arrangement of products in the warehouse. This way, the efficiency ofthe warehous0e and productivity of the winery will increase.