Evaluation model of industrial engineering internship programs by the hybrid fuzzy Dematel-Vikor method

Paulo Henrique Amorim Santos; Nicolle Christine Sotsek Ramos

doi:10.15675/gepros.2970

Authors

Paulo Henrique Amorim Santos Universidade Federal de São Carlos, UFSCAR https://orcid.org/0000-0003-4735-7747
Nicolle Christine Sotsek Ramos Universidade Federal do Paraná

DOI:

https://doi.org/10.15675/gepros.2970

Keywords:

Internship, Engineering Education, Industrial Engineering, Higher Education, Multi-Criteria Decision-Making Methods

Abstract

Purpose – The internship is an activity that must be carried out in a real work environment by production engineering students as a requirement for obtaining the degree. The internship programs, in turn, are entities that mediate the processes related to intern student’s admission, achievement and evaluation. The aim of this article is to propose a method to evaluate internship programs in production engineering courses.

Research Design - Scientific mapping methods and multicriteria decision-making methods were used. Fuzzy DEMATEL was applied to a group of experts to determine criteria weights, by cause-and-effect evaluation. Subsequently, based on a survey with production engineering students from Brazilian universities, Fuzzy VIKOR was used to classify and evaluate internship programs.

Findings - Using bibliographic techniques and analysis of social networks, it was possible to identify the main criteria related to internship quality: the student's technical learning; student employability; development of student interpersonal skills; dealings with social issues; the themes developed during the internship; and the internship model and student experience. The method proved to be useful both for comparing different programs, from different universities, as for comparing the evolution of a single program over time.

Practical and social implications - The replication of the method should be done in order to improve new students’ experience in a standardized way as well as identifying improvement points in current internship programs.

Originality/valor – Besides the unprecedented proposal of using multicriteria decision making to evaluate internship programs, the bibliographic survey brings original issues on the theme as genre equality and discrimination.

References

Abele, E., Chryssolouris, G., Sihn, W., Metternich, J., ElMaraghy, H., Seliger, G., ... & Seifermann, S. (2017). Learning factories for future oriented research and education in manufacturing. CIRP annals, 66(2), 803-826. DOI: https://doi.org/10.1016/j.cirp.2017.05.005

Abele, E., Metternich, J., Tisch, M., Chryssolouris, G., Sihn, W., ElMaraghy, H., ... & Ranz, F. (2015). Learning factories for research, education, and training. Procedia CiRp, 32, 1-6. DOI: https://doi.org/10.1016/j.procir.2015.02.187

Alves, J., Lima, N., Alves, G., & García-Peñalvo, F. J. (2017). Adjusting higher education competences to companies professional needs: A case study in an engineering master's degree. International Journal of Human Capital and Information Technology Professionals (IJHCITP), 8(1), 66-78. DOI: https://doi.org/10.4018/IJHCITP.2017010105

Alshehri, A., Gutub, S. A., Ebrahim, M. A. B., Shafeek, H., Soliman, M. F., & Abdel-Aziz, M. H. (2016). Integration between industry and university: Case study, Faculty of Engineering at Rabigh, Saudi Arabia. Education for Chemical Engineers, 14, 24-34. DOI: https://doi.org/10.1016/j.ece.2015.11.001

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics, 11(4), 959-975.Baena, F., Guarin, A., Mora, J., Sauza, J., & Retat, S. (2017). Learning factory: The path to industry 4.0. Procedia manufacturing, 9, 73-80. DOI: https://doi.org/10.1016/j.promfg.2017.04.022

Ashraf, R. U., Hou, F., Kirmani, S. A. A., Ilyas, M., Zaidi, S. A. H., & Ashraf, M. S. (2018). Student employability via university-industry linkages. Human Systems Management, 37(2), 219-232. DOI: https://doi.org/10.3233/HSM-18269

Azambuja, M. J. C.; Grimoni, J. A. B. Análise de adequação do projeto pedagógico do curso de engenharia elétrica frente as novas diretrizes curriculares de engenharia. In: Congresso Brasileiro de Educação em Engenharia (XLIX COBENGE). Evento online.

Burnik, U., & Košir, A. (2017). Industrial product design project: building up engineering students’ career prospects. Journal of Engineering Design, 28(7-9), 549-567. DOI: https://doi.org/10.1080/09544828.2017.1361512

Carneiro, A. S. T., & Kistemann Jr, M. A. (2017). Relação empresa/instituição e o estágio no curso de engenharia de produção (UFJF). Pesquisa e Debate em Educação, 7(1), 234-251.

Correia, G. de S. (2022). Uma discussão sobre o aprendizado em engenharia civil – reflexão sobre o papel do estágio na formação professional. In: Congresso Brasileiro de Educação em Engenharia (L COBENGE). Evento online.

de Almeida Sá, I. M. (1992). O Estágio Curricular no Curso de Engenharia Civil: Implicações para a Formação Profissional. Revista Tecnologia, 13(1).

de Francisco, A. C., & dos Santos, N. (2005). Fatores críticos de sucesso na aquisição de competência no estágio curricular supervisionado: o caso dos cursos de engenharia do CEFET-PR. Revista Gestão Industrial, 1(1). DOI: https://doi.org/10.3895/S1808-04482005000100002

Ferreira, M. N., & da Cunha Reis, A. (2016). Estágio curricular supervisionado: o papel do supervisor na formação profissional do discente de Engenharia de Produção. Scientia Plena, 12(2). DOI: https://doi.org/10.14808/sci.plena.2016.023601

Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy sets and systems, 115(1), 45-65. DOI: https://doi.org/10.1016/S0165-0114(99)00021-4

Gordon, A., Davis, I., & Plumblee, J. (2019). Evaluating a Student Internship in Rural Haiti. Journal of Professional Issues in Engineering Education and Practice, 145(1), 02518006.Khuman, A. S., Yang, Y., & John, R. (2014, October). A commentary on some of the intrinsic differences between grey systems and fuzzy systems. In 2014 IEEE international conference on Systems, Man, and Cybernetics (SMC) (pp. 2032-2037). IEEE. DOI: https://doi.org/10.1061/(ASCE)EI.1943-5541.0000395

Jackel, D. (2011). Evaluating the effectiveness of an internship program (Thesis).

Lin, X. H., Feng, Y. X., Tan, J. R., & An, X. H. (2011). A hybrid fuzzy DEMATEL-VIKOR method for product concept evaluation. In Advanced Materials Research (Vol. 186, pp. 230-235). Trans Tech Publications Ltd. DOI: https://doi.org/10.4028/www.scientific.net/AMR.186.230

Lopes, D. C., Gerolamo, M. C., Del Prette, Z. A. P., Musetti, M. A., & Del Prette, A. L. M. I. R. (2015). Social skills: A key factor for engineering students to develop interpersonal skills. International journal of engineering education, 31(1), 405-413.

Luk, L. Y. Y., & Chan, C. K. Y. (2020). Adaptation and validation of the Work Experience Questionnaire for investigating engineering students' internship experience. Journal of Engineering Education, 109(4), 801-820. DOI: https://doi.org/10.1002/jee.20351

Maheso, M. N., Mpofu, K., & Sibanda, V. (2018). Flexible and adaptable learning factories for the rail car manufacturing industry. Procedia Manufacturing, 23, 243-248. DOI: https://doi.org/10.1016/j.promfg.2018.04.024

Matusovich, H., Carrico, C., Harris, A., Sheppard, S., Brunhaver, S., Streveler, R., & McGlothlin Lester, M. B. (2019). Internships and engineering: beliefs and behaviors of academics. Education+ Training, 61(6), 650-665. DOI: https://doi.org/10.1108/ET-02-2017-0017

de Oliveira Melo, A. C., & Tonini, A. M. (2013). Estágio supervisionado em engenharia: mudanças nos aspectos legais e consequências para os futuros engenheiros. Boletim Técnico do Senac, 39(3), 124-147.

Morioka, S. N., Iritani, D. R., Ometto, A. R., & Carvalho, M. M. D. (2018). Revisão sistemática da literatura sobre medição de desempenho de sustentabilidade corporativa: uma discussão sobre contribuições e lacunas. Gestão & Produção, 25, 284-303. DOI: https://doi.org/10.1590/0104-530x2720-18

Motyl, B., Baronio, G., Uberti, S., Speranza, D., & Filippi, S. (2017). How will change the future engineers’ skills in the Industry 4.0 framework? A questionnaire survey. Procedia manufacturing, 11, 1501-1509. DOI: https://doi.org/10.1016/j.promfg.2017.07.282

Mozahem, N. A., Ghanem, C. M., Hamieh, F. K., & Shoujaa, R. E. (2019, May). Women in engineering: A qualitative investigation of the contextual support and barriers to their career choice. In Women's Studies International Forum (Vol. 74, pp. 127-136). Pergamon. DOI: https://doi.org/10.1016/j.wsif.2019.03.014

Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455. DOI: https://doi.org/10.1016/S0377-2217(03)00020-1

Paravizo, E., Chaim, O. C., Braatz, D., Muschard, B., & Rozenfeld, H. (2018). Exploring gamification to support manufacturing education on industry 4.0 as an enabler for innovation and sustainability. Procedia manufacturing, 21, 438-445. DOI: https://doi.org/10.1016/j.promfg.2018.02.142

Sereno, H. A., da Silveira Marconcini, R. D. C., de Almeida, F. C., & de Barros, J. G. M. (2007). A influência do estágio supervisionado na empregabilidade dos alunos do curso Engenharia de Produção da UERJ. Revista Gestão da Produção Operações e Sistemas, (1), 51-51.

Seron, C., Silbey, S. S., Cech, E., & Rubineau, B. (2016). Persistence is cultural: Professional socialization and the reproduction of sex segregation. Work and Occupations, 43(2), 178-214. DOI: https://doi.org/10.1177/0730888415618728

Taylor, A. R., & Hooley, T. (2014). Evaluating the impact of career management skills module and internship programme within a university business school. British Journal of Guidance & Counselling, 42(5), 487-499. DOI: https://doi.org/10.1080/03069885.2014.918934

Thomson, G. A. (2020). Which aspects of engineering degrees do graduates most value in their working lives?. Információs Társadalom, 20(2), 132-141. DOI: https://doi.org/10.22503/inftars.XX.2020.2.9

Turcu, C. O., & Turcu, C. E. (2018). Industrial Internet of Things as a challenge for higher education. Int. J. Adv. Comput. Sci. Appl, 9(11), 55-60. DOI: https://doi.org/10.14569/IJACSA.2018.091108

Tzeng, G. H., Chiang, C. H., & Li, C. W. (2007). Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL. Expert systems with Applications, 32(4), 1028-1044. DOI: https://doi.org/10.1016/j.eswa.2006.02.004

Wang, T. C., & Chang, T. H. (2005). Fuzzy VIKOR as an aid for multiple criteria decision making. Taiwan: Institute of Information Management I-Shou University.

Wu, W. W., & Lee, Y. T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert systems with applications, 32(2), 499-507. DOI: https://doi.org/10.1016/j.eswa.2005.12.005

Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute decision making: an introduction. Sage publications. DOI: https://doi.org/10.4135/9781412985161

Zehr, S. M., & Korte, R. (2020). Student internship experiences: learning about the workplace. Education+ Training, 62(3), 311-324. DOI: https://doi.org/10.1108/ET-11-2018-0236

Zuo, Y., Weng, Q., & Xie, X. (2020). Are all internships equally beneficial? Toward a contingency model of internship efficacy. Journal of Career Development, 47(6), 627-641. DOI: https://doi.org/10.1177/0894845319883415

Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472. DOI: https://doi.org/10.1177/1094428114562629