Evaluation and selection of welding process technology in an automotive company using multicriteria decision-making methods

Authors

DOI:

https://doi.org/10.5585/2023.21649

Keywords:

Welding, Automation, Robot welding, AHP COPRAS method

Abstract

Due to the distinctive characteristics of the existing welding technologies, it is important for a company to have methods that supports the selection of the best welding option for each application, to promote the efficient use of resources, as well as to optimize the production of the evaluated application. Thus, this work aims to propose a decision-making method for the selection of welding technology based on the AHP COPRAS tool. Field research was conducted in a metallurgical multinational company to identify which were the most relevant criteria related to the welding process. Through interviews with welding specialists, it was possible to identify and quantify four different criteria: Safety and Ergonomics, Quality, Productivity, and Cost. Based on these criteria, the AHP COPRAS tool was applied, and the results found that, for the case analyzed, the automated process was the best alternative when compared to the manual process.

Downloads

Download data is not yet available.

Author Biographies

Isabella Cristina Souza Faria, Universidade Metodista de Piracicaba

Mestre em Engenharia de Produção

Universidade Metodista de Piracicaba – UNIMEP

Piracicaba, São Paulo – Brasil

Remo Augusto Padovezi Filleti, Universidade Metodista de Piracicaba

Doutor em Sustentabilidade

Universidade Metodista de Piracicaba – UNIMEP

Piracicaba, São Paulo – Brasil

Maria Célia de Oliveira, Universidade Presbiteriana Mackenzie

Doutora em Engenharia de Produção

Universidade Presbiteriana Mackenzie

São Paulo, São Paulo – Brasil

André Luís Helleno, Universidade Presbiteriana Mackenzie

Doutor em Engenharia de Produção

Universidade Presbiteriana Mackenzie

São Paulo, São Paulo – Brasil

References

Aşchilean, I., Badea, G., Giurca, I., Naghiu, G. S., & Iloaie, F. G. (2017). Choosing the Optimal Technology to Rehabilitate the Pipes in Water Distribution Systems Using the AHP Method. Energy Procedia, 112, 19–26. https://doi.org/10.1016/j.egypro.2017.03.1109

Bolmsjö, G. S. (1988). Robotic Arc Welding – Programming and Control. IFAC Proceedings Volumes, 21(16), 541–546. https://doi.org/10.1016/S1474-6670(17)54665-0

Bologa, O., Breaz, R.-E., & Racz, S.-G. (2018). Using the Analytic Hierarchy Process (AHP) and fuzzy logic to evaluate the possibility of introducing single point incremental forming on industrial scale. Procedia Computer Science, 139, 408–416. https://doi.org/10.1016/j.procs.2018.10.262

Correia, D. S., & Ferraresi, V. A. (2007). Welding process selection through a double criterion: Operational costs and non-quality costs. Journal of Materials Processing Technology, 184(1–3), 47–55. https://doi.org/10.1016/j.jmatprotec.2006.11.006

Faria I. C. S., Filleti R. A. P., & Helleno A. L. (2022). Evolução dos Processos de Automação em Células de Soldagem: Uma Revisão da Literatura. Soldagem & Inspeção, 27, 1–16. https://doi.org/10.1590/0104-9224/SI27.04

Goswami, S. S., & Mitra, S. (2020). Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology. International Journal of Data and Network Science, 4(1), 27–42. https://doi.org/10.5267/j.ijdns.2019.8.004

Gürcan, Ö. F., Yazıcı, İ., Beyca, Ö. F., Arslan, Ç. Y., & Eldemir, F. (2016). Third Party Logistics (3PL) Provider Selection with AHP Application. Procedia - Social and Behavioral Sciences, 235, 226–234. https://doi.org/10.1016/j.sbspro.2016.11.018

Marques, P. V., Modenesi, J. P., & Bracarense, A. Q. (2009). Soldagem: Fundamentos e Tecnologia. 3a ed. Belo Horizonte: Editora UFMG.

Pinto, G. F. L., Silva, F. J. G., Campilho, R. D. S. G., Casais, R. B.,

Fernandes, A. J., & Baptista, A. (2019). Continuous improvement in maintenance: a case study in the automotive industry involving Lean tools. Procedia Manufacturing, 38, 1582–1591. https://doi.org/10.1016/j.promfg.2020.01.127

Pitchipoo, P., Vincent, D. S., Rajini, N., & Rajakarunakaran, S. (2014). COPRAS Decision Model to Optimize Blind Spot in Heavy Vehicles: A Comparative Perspective. Procedia Engineering, 97, 1049–1059. https://doi.org/10.1016/j.proeng.2014.12.383

Polat, G., Bingol, B. N., & Var, O. (2017). An Integrated Multi-criteria-decision-making Tool for Mechanical Designer Selection. Procedia Engineering, 196, 278–285. https://doi.org/10.1016/j.proeng.2017.07.200

Rao, R. V. (2013). Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods. Londres: Springer London. https://doi.org/10.1007/978-1-4471-4375-8

Rout, A., Deepak, B.B.V.L., & Biswal, B.B. (2019). Advances in weld seam tracking techniques for robotic welding: A review. Robotics and Computer-Integrated Manufacturing, 56, 12–37. https://doi.org/10.1016/j.rcim.2018.08.003

Saaty, R. W. (1987). The analytic hierarchy process - what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8

Saaty, T. L. (1980). The Analytic Hierarchy Process. Nova York: McGraw-Hill.

Sen, B., Bhattacharjee, P., & Mandal, U. K. (2016). A comparative study of some prominent multi criteria decision making methods for connecting rod material selection. Perspectives in Science, 8, 547–549. https://doi.org/10.1016/j.pisc.2016.06.016

Silva, G. V., & Silva, G. C. (2018). Virtual Prototyping of an Automotive Manufacturing Cyber-Physical System based on Artificial Neural Network. Journal of Production and Automation (JPAUT), 1(2), 41–58. Disponível em: https://jpaut.com.br/wp-content/uploads/2018/12/VENTURA-SILVA-CANUTO-DA-SILVA-2018-V1.pdf

Sousa, J. V., Melo, F. J. C., Aquino, J. T., & Jerônimo, T. de B. (2021). Using AHP to improve manufacturing processes in TPM on industrial and port complex. Exacta, 19(3), 523-549. https://doi.org/10.5585/exactaep.2021.16693

Sproesser, G., Schenker, S., Pittner, A., Borndörfer, R., Rethmeier, M., Chang, Y.-J., & Finkbeiner, M. (2016). Sustainable Welding Process Selection Based on Weight Space Partitions. Procedia CIRP, 40, 127–132. https://doi.org/10.1016/j.procir.2016.01.077

Wang, Q. Y., Cheng, Y. C., Jiao, W. H., Johnson, M. T., & Zhang, Y. M (2019). Virtual reality human-robot collaborative welding: A case study of weaving gas tungsten arc welding. Journal of Manufacturing Processes, 48(5), 210–217. https://doi.org/10.1016/j.jmapro.2019.10.016

Weman, K. (2012). Welding processes handbook. 2a ed. Cambridge: Woodhead Publishing.

Xue, B., Chang, B., Peng, G., Gao, Y., Tian, Z., Du, D., & Wang, G. (2019). A Vision Based Detection Method for Narrow Butt Joints and a Robotic Seam Tracking System. Sensors, 19(5), 1144. https://doi.org/10.3390/s19051144

Zavadskas, E. K., Turkis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of construction project managers by applying COPRAS-G method. Computer Modelling and New Technologies, 12(3), 22–28. Disponível em: http://www.cmnt.lv/upload-files/ns_3912_3_cmnt2008.pdf

Published

2023-03-08

How to Cite

Faria, I. C. S., Filleti, R. A. P., de Oliveira, M. C., & Helleno, A. L. (2023). Evaluation and selection of welding process technology in an automotive company using multicriteria decision-making methods. Exacta. https://doi.org/10.5585/2023.21649

Most read articles by the same author(s)