Teaching-Learning Strategies to Production Planning and Control Concepts: Application of Scenarios to Sequencing Production with Virtual Reality Support
Abstract
This paper aims to present scenarios to be applied in higher education to the theme of production planning and control, addressing factors of the production system and indicators arising from this process and the application of virtual reality to support the process. The applied method combines the development of six scenarios for virtual reality application and the discussion about the impacts in indicators from the production planning and control, for example, inventory in the process, manufacturing lead-time, use of equipment, and punctual delivery attendance. Findings revealed that the teaching-learning process of production planning and control, when applied through scenarios, generates opportunities for students to learn the impact in the indicators. The virtual reality in this environment supports creating differentiated teaching-learning environments to generate the most significant knowledge for students which positively impacts the future in the world of work. In addition, it allows people involved in the teaching-learning processes of production engineering to apply the concepts presented in the sequencing process, lean about the impacts of decisions on production sequencing indicators and appreciate the support of virtual reality to generate an environment more cognitive for students.
https://doi.org/10.26803/ijlter.20.8.7
Keywords
Full Text:
PDFReferences
ABEPRO. (2008). Áreas e Sub-áreas de Engenharia de Produção [Production engineering areas and subareas] . http://www.abepro.org.br/interna.asp?p=399&m=424&ss=1&c=362
Akbulut, A., Catal, C., & Yildiz, B. (2018). On the effectiveness of virtual reality in the education of software engineering. Computer Applications in Engineering Education, 26(4), 918–927. https://doi.org/10.1002/cae.21935
Allahverdi, A., & Soroush, H. M. (2008). The significance of reducing setup times/setup costs. European Journal of Operational Research, 187(3), 978–984. https://doi.org/10.1016/j.ejor.2006.09.010
Anjos, F. E. V. dos, Rocha, L. A. O., Silva, D. O. da, & Pacheco, R. (2020). Virtual and augmented reality application in production engineering teaching-learning processes. Production, 30, 1–16. https://doi.org/10.1590/0103-6513.20190088
Armbruster, D., Fonteijn, J., & Wienke, M. (2012). Modeling production planning and transient clearing functions. Logistics Research, 5(3), 133–139. https://doi.org/10.1007/s12159-012-0087-8
Ayough, A., Zandieh, M., & Farhadi, F. (2020). Balancing, sequencing, and job rotation scheduling of a U-shaped lean cell with dynamic operator performance. Computers and Industrial Engineering, 143. https://doi.org/10.1016/j.cie.2020.106363
Babaei, M., Mohammadi, M., & Ghomi, S. M. T. F. (2014). A genetic algorithm for the simultaneous lot sizing and scheduling problem in capacitated flow shop with complex setups and backlogging. The International Journal of Advanced Manufacturing Technology, 70, 125–134. https://doi.org/10.1007/s00170-013-5252-y
Bates, A. W. (2015). Teaching in a digital age: Guidelines for designing teaching and learning (1st ed.). Tony Bates Associates Ltd.
Brahimi, N., Absi, N., Dauzère-Pérès, S., & Nordli, A. (2017). Single-item dynamic lot-sizing problems: An updated survey. European Journal of Operational Research, 263(3), 838–863. https://doi.org/10.1016/j.ejor.2017.05.008
Caicedo, A. J., Parra, J. W., & Rivera, L. (2019). Mathematical model for production sequencing in a manufacturing company. Journal of Physics: Conference Series, 1388(1). https://doi.org/10.1088/1742-6596/1388/1/012001
Corrêa, Henrique Luiz; Gianese, Irineu Gustavo Nogueira; Caon, M. (2019). Planejamento, programação e controle da produção: MRP II / ERP :Conceitos, uso e implantação : Base para SAP, oracle applications e outros softwaresintegrados de gestão [Production planning, scheduling and control: MRP II / ERP: Concepts, use and implementation: Basis for SAP, oracle applications and other integrated management software] (6th ed.). Atlas.
Crawley, E., Hosoi, A., Long, G., Kassis, T., Dickson, W., & Mitra, A. (2019, June). Moving forward with the New Engineering Education Transformation (NEET) program at MIT - building community, developing projects, and connecting with industry. 2019 Paper presented at ASEE Annual Conference & Exposition Proceedings, Tampa, Florida. https://doi.org/10.18260/1-2--33124
Duncan, I., Miller, A., & Jiang, S. (2012). A taxonomy of virtual worlds usage in education. British Journal of Educational Technology, 43(6), 949–964. https://doi.org/10.1111/j.1467-8535.2011.01263.x
Fonseca, D. E., Redondo, E. D., & Valls, F. (2016). Motivación y mejora académica utilizando realidad aumentada para el estudio de modelos tridimensionales arquitectónicos [Motivation and academic improvement using augmented reality for the study of architectural three-dimensional models]. Education in the Knowledge Society (EKS), 17(1), 45–64. https://doi.org/10.14201/eks20161714564
Frevert, M., & Di Fuccia, D.-S. (2019). Virtual reality as a means of teaching contemporary chemistry. Proceedings of the 2019 The 3rd International Conference on Digital Technology in Education, 34–38. https://doi.org/10.1145/3369199.3369218
Gilbert, J. K. (2004). Models and modelling: Routes to more authentic science education. International Journal of Science and Mathematics Education, 2(2), 115–130. https://doi.org/10.1007/s10763-004-3186-4
Göttlich, S., & Knapp, S. (2019). Load-dependent machine failures in production network models. SIAM Journal on Applied Mathematics, 79(4), 1197–1217. https://doi.org/10.1137/18M1193177
Grodotzki, J., Ortelt, T. R., & Tekkaya, A. E. (2018). Remote and virtual labs for engineering education 4.0: Achievements of the ELLI project at the TU Dortmund university. Paper presented at the 26th SME North American Manufacturing Research Conference,NAMRC 46,Texas, USA. https://doi.org/10.1016/j.promfg.2018.07.126
Habib, A., Jilcha, K., & Berhan, E. (2015). Performance Improvement by Scheduling Techniques: A Case of Leather Industry Development Institute. Paper presented at Afro-European Conference for Industrial Advancement,261–269). https://doi.org/10.1007/978-3-319-13572-4_21
Hwang, G.-J., Chiu, L.-Y., & Chen, C.H. (2015). A contextual game-based learning approach to improving students’ inquiry-based learning performance in social studies courses. Computers & Education, 81, 13–25. https://doi.org/10.1016/j.compedu.2014.09.006
Inayat, I., Inayat, Z., & ul Amin, R. (2016). Teaching and learning object-oriented analysis and design with 3D game. Proceedings of 14th International Conference on Frontiers of Information Technology , 46–51. https://doi.org/10.1109/FIT.2016.16
Kanakana-Katumba, M. G., & Maladzhi, R. (2019). Online learning approaches for science, engineering and technology in distance education. Paper presented at the IEEE International Conference on Industrial Engineering and Engineering Management, 930–934. https://doi.org/10.1109/IEEM44572.2019.8978892
National Association of State Directors of Career Technical Education Consortium , & Achieve. (2015, November 5). Building a strong relationship between competency-based pathways and career technical education [Blog post]. https://careertech.org/sites/default/files/CTE-CompetencyBasedPathways.pdf
La Marca, M., Armbruster, D., Herty, M., & Ringhofer, C. (2010). Control of continuum models of production systems. IEEE Transactions on Automatic Control, 55(11), 2511–2526. https://doi.org/10.1109/TAC.2010.2046925
Lage Junior, M. (2019). Planejamento e controle da produção : teoria e prática [Production planning and control: Theory and practice] (1st ed.). LTC.
Lamb, R., Antonenko, P., Etopio, E., & Seccia, A. (2018). Comparison of virtual reality and hands on activities in science education via functional near infrared spectroscopy. Computers & Education, 124, 14–26. https://doi.org/10.1016/j.compedu.2018.05.014
Laseinde, O. T., Adejuyigbe, S. B., Mpofu, K., & Campbell, H. M. (2016). Educating tomorrows engineers: Reinforcing engineering concepts through Virtual Reality (VR) teaching aid. Paper presented at the IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015, 2016. https://doi.org/10.1109/IEEM.2015.7385894
Lefrançois, G. R. (2016). Teorias da Aprendizagem: O que o professor disse [Theories of human learning] (6th ed.). Cengage Learning.
Li, Y., Zhang, D., Guo, H., & Shen, J. (2018). A novel virtual simulation teaching system for numerically controlled machining. International Journal of Mechanical Engineering Education, 46(1), 64–82. https://doi.org/10.1177/0306419017715426
Lustosa, L. J., Mesquita, M. A., Quelhas, G., Osvaldo, L., & Oliveira, R. J. de. (2008). Planejamento e controle da produção [Planning and production control] (1st ed.). Elsevier.
Martins, V. F., & Guimarães, M. de P. (2012). Desafios para o uso de Realidade Virtual e Aumentada de maneira efetiva no ensino [Challenges for using virtual and augmented reality effectively in teaching]. Anais Do Workshop de Desafios Da Computação Aplicada à Educação[Proceedings of the Challenges of Computing Applied to Education Workshop], 100–109.
Mayne, R., & Green, H. (2020). Virtual reality for teaching and learning in crime scene investigation. Science and Justice, 60(5), 466–472. https://doi.org/10.1016/j.scijus.2020.07.006
Mestrinho, N., & Cavadas, B. (2018). Innovation in teacher education: An integrative approach to teaching and learning science and mathematics. Proceedings, 2(21), 1343. https://doi.org/10.3390/proceedings2211343
Mizukami, M. da G. N. (1992). Ensino: A Abordagens do Processo [Teaching: Process Approaches] (1st ed.). LTC.
Oliveira, F. S., & Costa, M. L. G. (2018). Capacity expansion under uncertainty in an oligopoly using indirect reinforcement-learning. European Journal of Operational Research, 267(3), 1039–1050. https://doi.org/10.1016/j.ejor.2017.11.013
Prensky, M. (2001). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
Quadir, B., Yang, J. C., & Chen, N. S. (2019). The effects of interaction types on learning outcomes in a blog-based interactive learning environment. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2019.1652835
Sánchez, A., Redondo, E., Fonseca, D., & Navarro, I. (2015). Academic performance assessment using augmented reality in engineering degree course. Proceedings - Frontiers in Education Conference, 1–7. https://doi.org/10.1109/FIE.2014.7044238
Santos, J. (2006). Teorias da aprendizagem: Comportamentalista, cognitivista e humanista [Learning theories: Behaviorist, cognitivist and humanist]. Revista Cientifica Sigma [Sigma Scientific Journal], 2, 97–111.
Schlemmer, E., & Backes, L. (2015). Learning in Metaverses. IGI Global. https://doi.org/10.4018/978-1-4666-6351-0
Shirazi, A., & Behzadan, A. H. (2015). Content delivery using augmented reality to enhance students’ performance in a building design and assembly project. Advances in Engineering Education, 4(3), 1–24.
Skarka, W., Wylezol, M., Januszka, M., Rzydzik, S., & Targosz, M. (2015). Improving the ability of future engineers by using advanced interactive 3D techniques in education. In R. Curran, N. Wognum, M. Borsato,J. Stjepandic & W.J.C. Verhagen (Eds.), Transdisciplinary lifecycle analysis of systems ( pp. 647–656). IOS Press. https://doi.org/10.3233/978-1-61499-544-9-647
Smutny, P., Babiuch, M., & Foltynek, P. (2019). A review of the virtual reality applications in education and training. Proceedings of the 2019 20th International Carpathian Control Conference, ICCC. https://doi.org/10.1109/CarpathianCC.2019.8765930
Soudien, C. (2010). Transformation in higher education- A briefing paper. Policy Studies Journal, 44(1), 29. https://doi.org/10.1007/1-4020-4006-7
Suzanne, E., Absi, N., Borodin, V., & van den Heuvel, W. (2020). A single-item lot-sizing problem with a by-product and inventory capacities. European Journal of Operational Research, 287(3), 844–855. https://doi.org/10.1016/j.ejor.2020.05.017
Tsai, C. W., Shen, P. Di, & Lu, Y. J. (2015). The effects of problem-based learning with flipped classroom on elementary students’ computing skills: A case study of the production of Ebooks. International Journal of Information and Communication Technology Education, 11(2), 32–40. https://doi.org/10.4018/ijicte.2015040103
Wang, H.-Y., Liu, G.-Z., & Hwang, G.-J. (2017). Integrating socio-cultural contexts and location-based systems for ubiquitous language learning in museums: A state of the art review of 2009-2014. British Journal of Educational Technology, 48(2), 653–671. https://doi.org/10.1111/bjet.12424
?echowicz, M., Gromadzi?ski, L., Dudzi?ski, L., Grabarczyk, ?., ?echowicz, T., Zab?ocki, M., & Zaborowski, P. (2018). Development and implementation of methods for training doctors and dental surgeons using virtual devices and simulation. Polish Annals of Medicine. https://doi.org/10.29089/2017.17.00002
Refbacks
- There are currently no refbacks.
e-ISSN: 1694-2116
p-ISSN: 1694-2493