Manufacturing Description Language for Process Control in Industry 4.0

  1. Mauricio-Andrés Zamora-Hernández 1
  2. Jose Andrez Chaves Ceciliano 1
  3. Alonso Villalobos Granados 1
  4. John Alejandro Castro Vargas 2
  5. Jose Garcia-Rodriguez 2
  6. Jorge Azorín-López 2
  1. 1 Universidad de Costa Rica
    info

    Universidad de Costa Rica

    San José, Costa Rica

    ROR https://ror.org/02yzgww51

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Libro:
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020
  1. Álvaro Herrero (coord.)
  2. Carlos Cambra (coord.)
  3. Daniel Urda (coord.)
  4. Javier Sedano (coord.)
  5. Héctor Quintián (coord.)
  6. Emilio Corchado (coord.)

Editorial: Springer Suiza

ISBN: 978-3-030-57801-5 978-3-030-57802-2

Año de publicación: 2021

Páginas: 790-799

Congreso: International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO (15. 2020. Burgos)

Tipo: Aportación congreso

Resumen

In factories, the assembly of products or components by operators is a complex task that is not free of recurring problems. In this process, operators often make mistakes that can lead to defective products. Therefore, they need to be inspected later to verify their correct assembly. The main problems are caused by several reasons, including high employee turnover due to a lack of experience in manufacturing specific products or confusion of instructions for similar components. In this paper, a novel structured language aimed to describe the required actions to manufacture a product in industrial assembly environments is presented. The main contribution is to provide a formal language that can help in the future to an automatic system can verify through visual control, whether the actions performed by the operator are carried out in accordance with the standard described by this language. It will allow to minimize the negative impact of errors during assembly.