Skip to main content
SpringerLink
Log in

Proposal of a Storage Methodology for Asset Management, Using Artificial Intelligence Techniques, to Make Unit Load Work Processes More Efficient

  • Conference paper
  • First Online:
Advances in Computational Intelligence. MICAI 2023 International Workshops (MICAI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14502))

Included in the following conference series:

  • 114 Accesses

Abstract

This paper proposes an intelligent system that gives solution to a problem of management and work performance, administrative for the technology area of the Urban Electric Train System (SITEUR), addressing the problem, it is proposed to generate a tool to capture online assets, through an app, integrating predictive skills with the help of Machine Learning specifically in the area of electric route, the analysis of this research is oriented to the proposed solution for the area described below and generate an impact with scientific contribution to society.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. OECD. Part-time employment rate (indicator) (2023). https://doi.org/10.1787/f2ad596c-en. Accessed 22 July 2023

  2. De Protección Al Salario, C. N. M. (s. f.). Derechos laborales de los trabajadores. gob.mx. https://www.gob.mx/conampros/acciones-y-programas/derechos-laborales-de-los-trabajadores

  3. OECD. Hours worked (indicator) (2023). https://doi.org/10.1787/47be1c78-en. Accessed 21 July 2023

  4. Anghel, B., Lacuesta, A.: Envejecimiento, productividad y situación laboral. Boletín económico - Banco de España 1, 9 (2020). ISSN 0210–3737

    Google Scholar 

  5. Pérez Rodríguez, V., Palací Descals, F.J., Topa Cantisano, G.: Cultura de conciliación y conflicto trabajo/familia en trabajadores con turnos laborales. Acción psicológica 14(2), 193–210 (2017). ISSN 1578–908X

    Google Scholar 

  6. Manzolli, J.A., Trovão, J.P., Antunes, C.H.: A review of electric bus vehicles research topics – methods and trends (2022). ISSN 1364-0321. https://doi.org/10.1016/j.rser.2022.112211

  7. Shabani, M., Wallin, F., Dahlquist, E., Yan, J.: The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application (2023). https://doi.org/10.1016/j.energy.2023.126829

  8. https://1drv.ms/x/s!AkyZ8AFM25mBgmBmOULGfIt9808_?e=irUg0r

  9. Revista Científica Mundo de la Investigación y el Conocimiento, vol. 3, no. 3, pp. 1155–1176 (2019). ISSN: 2588–073X

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centro de Tecnología Avanzada A.C., CIATEQ, Zapopan, México

    Ismael Cardona

  2. Instituto de Información Estadística y Geográfica de Jalisco, Zapopan, México

    Edgar Gonzalo Cossio Franco

Authors
  1. Ismael Cardona
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Edgar Gonzalo Cossio Franco
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ismael Cardona .

Editor information

Editors and Affiliations

  1. Instituto Politecnico Nacional, Center for Computing Research, Mexico, Distrito Federal, Mexico

    Hiram Calvo

  2. Panamerican University, Ciudad de México, Distrito Federal, Mexico

    Lourdes Martínez-Villaseñor

  3. Universidad Panamericana, Mexico City, Distrito Federal, Mexico

    Hiram Ponce

  4. Instituto Tecnologico de Culiacan, Culiacán, Sinaloa, Mexico

    Ramón Zatarain Cabada

  5. Universidad Politécnica de Aguascalient, Aguascalientes, Mexico

    Martín Montes Rivera

  6. Universidad Veracruzana, Veracruz, Mexico

    Efrén Mezura-Montes

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cardona, I., Cossio Franco, E.G. (2024). Proposal of a Storage Methodology for Asset Management, Using Artificial Intelligence Techniques, to Make Unit Load Work Processes More Efficient. In: Calvo, H., Martínez-Villaseñor, L., Ponce, H., Zatarain Cabada, R., Montes Rivera, M., Mezura-Montes, E. (eds) Advances in Computational Intelligence. MICAI 2023 International Workshops. MICAI 2023. Lecture Notes in Computer Science(), vol 14502. Springer, Cham. https://doi.org/10.1007/978-3-031-51940-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-51940-6_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51939-0

  • Online ISBN: 978-3-031-51940-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation