Comparison TOPSIS and MOORA multi-criteria method for the optimization of a plastic injection process
Published
:Issue
:Section
:License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Dimensions Metrics
Abstract
The process of the plastic injection industry is characterized by being one of the most complex production processes. In this sense, it becomes an activity that requires the use of sophisticated mathematical methods and the use of advanced technology, this has led to the development of an infinity of research projects focused on assisting the typification of critical factors of the plastic injection process. In such a way, that the present project proposes the comparison of the use of the TOPSIS and MOORA multi-criteria method for the optimization of a plastic injection process. The expected results consist in developing experiments with both methods to classify the critical parameters and / or variables of a plastic injection process that allows proposing continuous improvement strategies.
Keywords: MCDM, TOPSIS, MOORA, Plastic Injection, Parameters.
Bodini, Gianni, CACCHI, Pesan Franco.Moldes y Maquinas de inyección para la transformación de plásticos. 2nd. Ed. Italia, Editorial McGraw-Hill, 1987. 435p.
C. H. Coombs, “On the use of inconsistency of preferences in psychological measurement,” Journal of Experimental Psychology, vol. 55, pp. 1-7, 1958.
C. L. Hwang and K. Yoon, “Multiple Attribute Decision Methods and Applications”, Springer, Berlin Heidelberg ed 1982.
Ceballos, Blanca; Lamata, María Teresa; Pelta, David; Sanchez J. Miguel; (2013) “El método TOPSIS Relativo Vs. Absoluto “ Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA, PP. 181-192
H. T. Lin and W. L. Chang, “Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation,” European Journal of Operational Research, vol. 187, no. 2, pp. 415-428, June 2008.
H. S. Byun and K. H. Lee, “A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method,” International Journal of Advanced Manufacturing Technology, vol. 26, pp. 1338- 1347, 2005.
J. M. Benitez, J. C. Martin, and C. Roman, “Using fuzzy number for measuring quality of service in the hotel industry,”Tourism Management, vol. 28, no. 2, pp. 544-555, Apr. 2007.
Majid Behzadian, S. Khanmohammadi Otaghsara, Morteza Yazdani, Joshua Ignatius. (2012) “A state-of the-art survey of TOPSIS applications” consultada por internet, Agosto 2017. Direccion de internet http:// www.elsevier.com/locate/es.
Matarrese, P., Fontana, A., Sorlini, M., Diviani, L., Specht, I., & Maggi, A. (2017). Estimating energy consumption of injection moulding for environmental-driven mould. Journal of Cleaner Production.
M. Zeleny, “Compromise programming,” in Multi criteria decision making. J.-L. Cochrane and M. Zeleny, Eds. Columbia: University of South Carolina. USA, 1973, pp. 262-301.
M. Saremi, S. F. Mousavi, and A. Sanayei, “TQM consultant selection in SMEs with TOPSIS under fuzzy environment,” Expert Systems with Applications, vol. 36, no. 2, Part 2, pp. 2742-2749, Mar.2009.
Pérez Domínguez, L., Alvarado Iniesta, A.,Rodríguez Borbón, I., Villegas, V., & Osslan. (2015). Intuitionistic fuzzy MOORA for supplier selection. DYNA.
P. L. Yu, “A class of solutions for group decision problems,” Management science, vol. 19, no. 8, pp. 936-946, 1973.
Satoshi, K., & Shinji, N. (2014). Multi-objective optimization of volume shrinkage and clamping force for plastic injection molding via sequential approximate optimization. Simulation Modelling Practice and Theory, 35-44.
Sellés Cantó, M. Á., Pérez Bernabeu, E., Sánchez Caballero, S., & Peydró Rasero, M. Á. (2012). Utilización de la Optimización Multicriterio y Redes Neuronales como Métodos Para La Mejora de la Calidad de las Piezas Obtenidas por Moldeo por Inyección de Termoplásticos. 3C Tecnologia.
S. Barba-Romero and J. Pomerol, Decisiones Multicriterio, Fundamentos Teóricos y Utilización Práctica Servicio de Publicaciones de la Universidad de Alcalá, 1997.
S. Milani, A. Shanian, R. Madoliat, and J. A. Nemes, “The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection,” Industrial Applications, vol. 29, p. -312, 2005.
Villanueva Ponce, Rodrigo; García Alcaraz, Jorge Luis (2013) “Evaluación de Tecnología utilizando TOPSIS en Presencia de Multicolinealidad en Atributos: ¿Por qué usar distancia de Mahalanobis? “ Revista Facultad de Ingeniería Universidad de Antioquia, núm. 67, abril-junio, 2013, pp. 31-42.
Xuan-Phuong, D. (2014). General frameworks for optimization of plastic injection molding process parameters. Simulation Modelling Practice and Theory, 15-27.
Abstract
The process of the plastic injection industry is characterized by being one of the most complex production processes. In this sense, it becomes an activity that requires the use of sophisticated mathematical methods and the use of advanced technology, this has led to the development of an infinity of research projects focused on assisting the typification of critical factors of the plastic injection process. In such a way, that the present project proposes the comparison of the use of the TOPSIS and MOORA multi-criteria method for the optimization of a plastic injection process. The expected results consist in developing experiments with both methods to classify the critical parameters and / or variables of a plastic injection process that allows proposing continuous improvement strategies.
Keywords: MCDM, TOPSIS, MOORA, Plastic Injection, Parameters.
Bodini, Gianni, CACCHI, Pesan Franco.Moldes y Maquinas de inyección para la transformación de plásticos. 2nd. Ed. Italia, Editorial McGraw-Hill, 1987. 435p.
C. H. Coombs, “On the use of inconsistency of preferences in psychological measurement,” Journal of Experimental Psychology, vol. 55, pp. 1-7, 1958.
C. L. Hwang and K. Yoon, “Multiple Attribute Decision Methods and Applications”, Springer, Berlin Heidelberg ed 1982.
Ceballos, Blanca; Lamata, María Teresa; Pelta, David; Sanchez J. Miguel; (2013) “El método TOPSIS Relativo Vs. Absoluto “ Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA, PP. 181-192
H. T. Lin and W. L. Chang, “Order selection and pricing methods using flexible quantity and fuzzy approach for buyer evaluation,” European Journal of Operational Research, vol. 187, no. 2, pp. 415-428, June 2008.
H. S. Byun and K. H. Lee, “A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method,” International Journal of Advanced Manufacturing Technology, vol. 26, pp. 1338- 1347, 2005.
J. M. Benitez, J. C. Martin, and C. Roman, “Using fuzzy number for measuring quality of service in the hotel industry,”Tourism Management, vol. 28, no. 2, pp. 544-555, Apr. 2007.
Majid Behzadian, S. Khanmohammadi Otaghsara, Morteza Yazdani, Joshua Ignatius. (2012) “A state-of the-art survey of TOPSIS applications” consultada por internet, Agosto 2017. Direccion de internet http:// www.elsevier.com/locate/es.
Matarrese, P., Fontana, A., Sorlini, M., Diviani, L., Specht, I., & Maggi, A. (2017). Estimating energy consumption of injection moulding for environmental-driven mould. Journal of Cleaner Production.
M. Zeleny, “Compromise programming,” in Multi criteria decision making. J.-L. Cochrane and M. Zeleny, Eds. Columbia: University of South Carolina. USA, 1973, pp. 262-301.
M. Saremi, S. F. Mousavi, and A. Sanayei, “TQM consultant selection in SMEs with TOPSIS under fuzzy environment,” Expert Systems with Applications, vol. 36, no. 2, Part 2, pp. 2742-2749, Mar.2009.
Pérez Domínguez, L., Alvarado Iniesta, A.,Rodríguez Borbón, I., Villegas, V., & Osslan. (2015). Intuitionistic fuzzy MOORA for supplier selection. DYNA.
P. L. Yu, “A class of solutions for group decision problems,” Management science, vol. 19, no. 8, pp. 936-946, 1973.
Satoshi, K., & Shinji, N. (2014). Multi-objective optimization of volume shrinkage and clamping force for plastic injection molding via sequential approximate optimization. Simulation Modelling Practice and Theory, 35-44.
Sellés Cantó, M. Á., Pérez Bernabeu, E., Sánchez Caballero, S., & Peydró Rasero, M. Á. (2012). Utilización de la Optimización Multicriterio y Redes Neuronales como Métodos Para La Mejora de la Calidad de las Piezas Obtenidas por Moldeo por Inyección de Termoplásticos. 3C Tecnologia.
S. Barba-Romero and J. Pomerol, Decisiones Multicriterio, Fundamentos Teóricos y Utilización Práctica Servicio de Publicaciones de la Universidad de Alcalá, 1997.
S. Milani, A. Shanian, R. Madoliat, and J. A. Nemes, “The effect of normalization norms in multiple attribute decision making models: a case study in gear material selection,” Industrial Applications, vol. 29, p. -312, 2005.
Villanueva Ponce, Rodrigo; García Alcaraz, Jorge Luis (2013) “Evaluación de Tecnología utilizando TOPSIS en Presencia de Multicolinealidad en Atributos: ¿Por qué usar distancia de Mahalanobis? “ Revista Facultad de Ingeniería Universidad de Antioquia, núm. 67, abril-junio, 2013, pp. 31-42.
Xuan-Phuong, D. (2014). General frameworks for optimization of plastic injection molding process parameters. Simulation Modelling Practice and Theory, 15-27.
Most read articles by the same author(s)
- Luis Asunción Pérez-Domínguez, José Roberto Ávila-Lopez, David Luviano-Cruz, Industry 4.0 trend compared to Industry 5.0 , Mundo FESC Journal: Vol. 13 No. 25 (2023)
- Daniel Aguilar-Morales, Luis Asunción Pérez-Domínguez, Karla Yohana Sánchez-Mojica, Application of the 8D methodology for problem solving: A case study in the automotive industry , Mundo FESC Journal: Vol. 12 No. 23 (2022)
- Luis Pérez-Domínguez , Miguel Angel Cruz-Hernández, David Luviano-Cruz, Luis Alberto Rodríguez-Picón, FMEA application with MOORA for the evaluation of acasea , Mundo FESC Journal: Vol. 11 No. 21 (2021)
- , , , EL SOL COMO ALTERNATIVA PARA PRODUCIR ENERGÍA ELÉCTRICA: PROPUESTA PARQUE INFANTIL PARA LA CIUDAD DE CÚCUTA , Mundo FESC Journal: Vol. 4 No. 8 (2014)
- Carlos Andrés Peñaloza-Luna, German Enrique Gallego-Rodríguez, Jhon Jairo Ramírez-Mateus, Karla Cecilia Puerto-López, Karla Yohana Sánchez-Mojica, Simulation of a boost quadratic converter DC/DC with current mode control using Matlab/Simulink , Mundo FESC Journal: Vol. 12 No. S1 (2022)
- Sergio Alexander Castro-Casadiego, Karla Yohana Sánchez-Mojica, Karla Cecilia Puerto-López, Carlos Vicente Niño-Rondón, Byron Medina-Delgado, Dinael Guevara-Ibarra, Effect of morphological filters on the moving object detection process , Mundo FESC Journal: Vol. 11 No. 21 (2021)
- Diana Yaziel Ortiz-Muñoz, David Luviano-Cruz, Luz Angelica García-Villalba, Luis Asunción Pérez-Domínguez, Luis Alberto Rodríguez-Picón, Angular position control for solar panel based on neural networks and intelligent control , Mundo FESC Journal: Vol. 11 No. s4 (2021)