Artificial intelligence for optimization and indoor real-time locating systems. A case study in winery logistics

  1. Marta Plaza-Hernández 1
  2. Ricardo S. Alonso 1
  3. Javier Parra-Domínguez 1
  4. Eugenia Pérez-Pons 1
  5. Álvaro Arranz
  6. Eva Navascués
  7. Juan M. Corchado 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Liburua:
Proceedings of the III Workshop on disruptive information and communication technologies for innovation and digital transformation
  1. Javier Parra Domínguez (ed. lit.)
  2. Sara Rodríguez González (ed. lit.)
  3. Javier Prieto Tejedor (ed. lit.)
  4. Juan Manuel Corchado Rodríguez (ed. lit.)

Argitaletxea: Ediciones Universidad de Salamanca ; Universidad de Salamanca

ISBN: 978-84-1311-579-5

Argitalpen urtea: 2021

Orrialdeak: 93-102

Biltzarra: Workshop on disruptive information and communication technologies for innovation and digital transformation (3. 2020. Salamanca)

Mota: Biltzar ekarpena

DOI: 10.14201/0AQ031193102 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Laburpena

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.

Datuen iturria: Dialnet