Bio-Inspired System for MRP Production and Delivery Planning in Automotive Industry

  1. Dragan Simić 1
  2. Vasa Svirčević 2
  3. José Luis Calvo-Rolle 3
  4. Vladimir Ilin 1
  5. Simić, Svetislav D. 1
  6. Svetlana Simić 1
  1. 1 University of Novi Sad
    info

    University of Novi Sad

    Novi Sad, Serbia

    ROR https://ror.org/00xa57a59

  2. 2 Lames d.o.o. (22000 Sremska Mitrovica, Serbia)
  3. 3 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

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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: 550-559

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

Tipo: Aportación congreso

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Resumen

Material requirement planning (MRP) can be characterized as an organized flow of material in the production process with the required sequence determined by the technological procedure. This paper presents biological swarm intelligence in general, as well as firefly optimization for modellingMRP and delivery planning in the production system of automotive industry. The aim of this research is to create a model which will satisfy production, deliver processes and optimize raw material inventory with real production constraints. The proposed system is tested in the data set collected in Lames Italian automotive company in the factory located in Serbia.

Fuente de los datos: Dialnet