Repository logo
  • English
  • Español
  • Log In
    Have you forgotten your password?
Universidad Tecnológica Indoamérica
Repository logo
  • Communities & Collections
  • Research Outputs
  • Projects
  • Researchers
  • Statistics
  • Investigación Indoamérica
  • English
  • Español
  • Log In
    Have you forgotten your password?
  1. Home
  2. CRIS
  3. Publications
  4. Plant layout of a blackberry pulp production process
 
Options

Plant layout of a blackberry pulp production process

Journal
2023 15th IEEE International Conference on Industry Applications, INDUSCON 2023 - Proceedings
Date Issued
2023
Author(s)
Teneda E.
Caceres L.
Varela Aldas, José
Centro de Investigación de Ciencias Humanas y de la Educación
Type
Conference Paper
DOI
10.1109/INDUSCON58041.2023.10374859
URL
https://cris.indoamerica.edu.ec/handle/123456789/8283
Abstract
An adequate plant layout expedites the production process, optimizing time and resources to improve the industrial system's performance. This work presents the plant layout of a blackberry pulp production process using the systematic layout planning (SLP) methodology, which allows for analysis and evaluation and renders all the elements involved in the productive process. This qualitative method allows for locating the internal components of the plant-based on different factors. Tools used include material flow analysis through the from/to chart; the Guerchet methodology makes it possible to determine the total area needed; the space relationship diagram allows fixing the proximity between the elements; finally, three alternatives are established and evaluated for the distribution. According to the scores obtained, the alternative improvement is selected, and the plant layout is virtualized using three different 3D design software that allows rendering of the plant layout. ©2023 IEEE.
Subjects
  • and learning; Compute...

Views
4
Last Month
2
Acquisition Date
Jul 25, 2025
View Details
google-scholar
Downloads
Logo Universidad Tecnológica Indoamérica Hosting and Support by Logo Scimago

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback