Multicriteria Analysis for 3D Printer Selection

Autores/as

  • Vania Aparecida Rosario De Oliveira Universidade Estadual Paulista “Júlio De Mesquita Filho” - (Br), Brazil
  • Geraldo Cesar Rosario De Oliveira Universidade Estadual Paulista “Júlio De Mesquita Filho” - (Br), Brazil
  • Carlos Alexis Alvarado Silva Universidad César Vallejo
  • Fernanda Mywa Tajima Universidade Estadual Paulista “Júlio De Mesquita Filho” - (Br), Brazil
  • Antonio Dos Reis Faria Neto Universidade Estadual Paulista “Júlio De Mesquita Filho” - (Br), Brazil
  • Valério Antonio Pamplona Salomon Universidade Estadual Paulista “Júlio De Mesquita Filho” - (Br), Brazil
  • Erick Siqueira Guidi Universidade Estadual Paulista “Júlio De Mesquita Filho” - (Br), Brazil

DOI:

https://doi.org/10.18687/LACCEI2025.1.1.1193

Palabras clave:

MCDM, AHP, TOPSIS, Additive Manufacturing, 3D Printers, Multicriteria Selection.

Resumen

The increase in sustainable and responsible approaches in industries has been driven by the current global social and economic context. The pursuit of greater competitiveness and reduction of operational costs has favored the development of areas such as smart manufacturing, energy management and efficiency, sustainability, and compliance. In this context, this article presents an application of MCDM tools (AHP and TOPSIS) to support the equipment selection process. Three 3D printers from different models and manufacturers were considered, analyzed regarding seven selection criteria: equipment price, printing volume, maximum printing speed, maximum extruder temperature, number of extruders, maximum power, and type. Based on the opinion of an expert, the alternatives were ranked. A comparison was presented between the results obtained with the application of AHP-TOPSIS. The use of these methods significantly contributed to the decision-making process, allowing for a more comprehensive, transparent, and objective analysis of the different characteristics of each equipment.

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Publicado

2025-07-27

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Articles

Licencia

Licencia Creative Commons

Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).

Cómo citar

Rosario De Oliveira, V. A., Rosario De Oliveira, G. C., Alvarado Silva, C. A., Tajima, F. M., Faria Neto, A. D. R., Pamplona Salomon, V. A., & Guidi, E. S. (2025). Multicriteria Analysis for 3D Printer Selection. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.1193

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