Beer Game como estrategia de gamificación aplicando Industria 4.0: más que un juego de inventarios
Resumen
Uno de los grandes retos en los procesos de aprendizaje, es el fortalecer competencias blandas y técnicas en contexto real de la comunidad académica con estrategias vivenciales como la gamificación, que además se alinee con las tendencias tecnológicas de la Industria 4.0. Este artículo propone una adaptación del Beer Game como estrategia de gamificación, usando un modelo de fábrica a escala que simula los procesos logísticos con agregación de valor. En este sentido, se describe y compara el Beer Game tradicional y su versión adaptada a la Planta 4.0 simuladora SCM, para finalmente realizar un análisis de principios, pilares y tecnologías de la Industria 4.0 aplicados en la adaptación aquí propuesta. El principal resultado es la innovación en la articulación del Beer Game como estrategia de gamificación y la aplicación de Industria 4.0 como propuesta de valor para fortalecer los conceptos logísticos en perfiles como el del Ingeniero Industrial.
Palabras clave
industria 4.0, juego de la cerveza, gamificación, estrategia de inventarios
Biografía del autor/a
Yenny Alejandra Aguirre-Álvarez
Ingeniera Industrial, Magíster en Ingeniería Industrial
Carmen Elena Patino-Rodríguez
Ingeniera Industrial, Doctora en Ingeniería
Catalina María Maya-Iregui
Ingeniera Industrial
Emmanuel Bolívar-Torres
Ingeniero Industrial
Referencias
- Abideen, A. Z., Sorooshian, S., Kaliani Sundram, V. P., & Mohammed, A. (2023). Collaborative insights on horizontal logistics to integrate supply chain planning and transportation logistics planning – A systematic review and thematic mapping. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 1-21. https://doi.org/10.1016/j.joitmc.2023.100066 DOI: https://doi.org/10.1016/j.joitmc.2023.100066
- Akdil, K. Y., Ustundag, A., & Cevikcan, E. (2018). Chapter 4. Maturity and Readiness Model for Industry 4.0 Strategy. En A. Ustundag, & E. Cevikcan, Industry 4.0: Managing The Digital Transformation, 61-94. Springer. https://doi.org/10.1007/978-3-319-57870-5_4 DOI: https://doi.org/10.1007/978-3-319-57870-5_4
- Andino, R. M. (2006). Cadena de Suministro (SCM). EOI.
- Arias C., G. (2007). Adaptación guía de laboratorio Beer Game. Cali: Facultad de Ingeniería. Universidad Autónoma de Occidente.
- Bañuelos-Marquez, A. M. (2020). Educación 4.0. en las instituciones universitarias. En H. H. Brabantplein, REDINE (Coord.), Contribuciones de la tecnología digital en el desarrollo educativo y social, 70-79. Adaya Press.
- Baratta, A., Cimino, A., Gnoni, M. G., & Longo, F. (2023). Human Robot Collaboration in Industry 4.0: a literature review. Procedia Computer Science, 217, 1887-1895. https://doi.org/10.1016/j.procs.2022.12.389 DOI: https://doi.org/10.1016/j.procs.2022.12.389
- Belloti, F. (2014). Entre bien común y buen vivir. Afinidades a distancia. Iconos. Revista de Ciencias Sociales, (48), 41-54. https://doi.org/10.17141/iconos.48.2014.1208 DOI: https://doi.org/10.17141/iconos.48.2014.1208
- Berges, I., Ramírez-Durán, V. J., & Illarramendi, A. (2021). A Semantic Approach for Big Data Exploration in Industry 4.0. Big Data Research, 25, 1-14. https://doi.org/10.1016/j.bdr.2021.100222 DOI: https://doi.org/10.1016/j.bdr.2021.100222
- Cañas, H., Mula, J., Díaz-Madroñero, M., & Campuzano-Bolarín, F. (2021). Implementing Industry 4.0 principles. Computers & Industrial Engineering, 158, 1-10. https://doi.org/10.1016/j.cie.2021.107379 DOI: https://doi.org/10.1016/j.cie.2021.107379
- Chaharsooghi, S. K., Heydari, J., & Zegordi, S. H. (2008). A reinforcement learning model for supply chain ordering management: An application to the beer game. Decision Support Systems, 45 (4), 949–959. https://doi.org/10.1016/j.dss.2008.03.007 DOI: https://doi.org/10.1016/j.dss.2008.03.007
- Chehria, A., Zimmermann, A., Schmidt, R., & Masuda, Y. (2021). Theory and Practice of Implementing a Successful Enterprise IoT Strategy in the Industry 4.0 Era. Procedia Computer Science, 192 (10), 1-10. https://doi.org/10.1016/j.procs.2021.09.239 DOI: https://doi.org/10.1016/j.procs.2021.09.239
- Cimino, A., Gnoni, M., Longo, F., Barone, G., Fedele, M., & LePiane, D. (2023). Modeling & Simulation as Industry 4.0 enabling technology to support manufacturing process design: A real industrial application. Procedia Computer Science, 217 (14), 1877-1886. https://doi.org/10.1016/j.procs.2022.12.388 DOI: https://doi.org/10.1016/j.procs.2022.12.388
- Cimino, C., Leva, A., Negri, E., & Macchi, M. (2020). An integrated simulation paradigm for lifecycle-covering maintenance in the Industry 4.0 context. IFAC-PapersOnLine, 53 (3), 307-312. https://doi.org/10.1016/j.ifacol.2020.11.049 DOI: https://doi.org/10.1016/j.ifacol.2020.11.049
- Cohen, Y., Faccio, M., Galizia, F. G., Mora, C., & Pilati, F. (2017). Assembly system configuration through Industry 4.0 principles: the expected change in the actual paradigms. IFAC-PapersOnLine, 50 (1), 14958-14963. https://doi.org/10.1016/j.ifacol.2017.08.2550 DOI: https://doi.org/10.1016/j.ifacol.2017.08.2550
- Dikhanbayeva, D., Shaikholla, S., Suleiman, Z., & Turkyilmaz, A. (2020). Assessment of Industry 4.0 Maturity Models by Design Principles. Sustainability, 12 (23), 1-22. https://doi.org/10.3390/su12239927 DOI: https://doi.org/10.3390/su12239927
- Dilberoglu, U. M., Gharehpapagh, B., Yaman, U., & Dolen, M. (2017). The role of additive manufacturing in the era of Industry 4.0. Procedia Manufacturing, 11, 545-554. https://doi.org/10.1016/j.promfg.2017.07.148 DOI: https://doi.org/10.1016/j.promfg.2017.07.148
- Efatmaneshnik, M., Shoval, S., & Qiao, L. (2018). A standard description of the terms module and modularity for systems engineering. IEEE Transactions on Engineering Management, 67 (2), 365-375. https://doi.org/10.1109/TEM.2018.2878589 DOI: https://doi.org/10.1109/TEM.2018.2878589
- Elhazmiri, B., Naveed, N., Anwar, M. N., & Haq, M. I. (2022). The Role of Additive Manufacturing in Industry 4.0: An Exploration of Different Business Models. Sustainable Operations and Computers, 3, 317-329. https://doi.org/10.1016/j.susoc.2022.07.001 DOI: https://doi.org/10.1016/j.susoc.2022.07.001
- Ferreira, W. d., Armellinia, F., & Santa-Eulalia, L. A. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers & Industrial Engineering, 149, 1-21. https://doi.org/10.1016/j.cie.2020.106868 DOI: https://doi.org/10.1016/j.cie.2020.106868
- Garcés, G., & Peña, C. (2020). Ajustar la Educación en Ingeniería a la Industria 4.0: Una visión desde el desarrollo curricular y el laboratorio. Revista de Estudios y Experiencias en Educación, 19 (40), 129-148. https://doi.org/10.21703/rexe.20201940garces7 DOI: https://doi.org/10.21703/rexe.20201940garces7
- Garghetti, F., Grasso, M., Pacella, M., Fogliazza, G., & Colosimo, B. M. (2023). Multi-stream big data mining for industry 4.0 in machining:novel application of aGated Recurrent Unit Network. Procedia CIRP, 118, 431-436. https://doi.org/10.1016/j.procir.2023.06.074 DOI: https://doi.org/10.1016/j.procir.2023.06.074
- Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29 (6), 1-10. https://doi.org/10.1108/JMTM-02-2018-0057 DOI: https://doi.org/10.1108/JMTM-02-2018-0057
- Gilchrist, A. (2016). Industry 4.0: The Industrial Internet of Things (1a ed.). Apress. DOI: https://doi.org/10.1007/978-1-4842-2047-4_1
- González-Hernandez, I. J., & Granillo-Macias, R. (2021). Competencias del ingeniero industrial en la Industria 4.0. Revista Electrónica de Investigación Educativa, 22 (30), 1-14. https://doi.org/10.24320/redie.2020.22.e30.2750 DOI: https://doi.org/10.24320/redie.2020.22.e30.2750
- Greco, L., Maresca, P., & Caja, J. (2019). Big Data and Advanced Analytics in Industry 4.0: a comparative analysis across the European Union. Procedia Manufactoring, 41, 383-390. https://doi.org/10.1016/j.promfg.2019.09.023 DOI: https://doi.org/10.1016/j.promfg.2019.09.023
- Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for Healthcare: Capabilities, Features, Barriers and Applications. Sensors International, 2, 1-12. https://doi.org/10.1016/j.sintl.2021.100117 DOI: https://doi.org/10.1016/j.sintl.2021.100117
- Han, A., Ge, J., & Lei, Y. (2016). Vertical vs. horizontal integration: Game analysis for the rare earth industrial integration in China. Resources Policy, 50, 149-159. https://doi.org/10.1016/j.resourpol.2016.09.006 DOI: https://doi.org/10.1016/j.resourpol.2016.09.006
- Hermann, M., Pentek, T., & Otto, B. (2016). Design Principles for Industrie 4.0 Scenarios. Proceedings of 49th Hawaii International Conference on System Sciences HICSS, Koloa, 3928-3937. https://doi.org/10.1109/HICSS.2016.488 DOI: https://doi.org/10.1109/HICSS.2016.488
- Hernández-Betancur, J. E., Montoya-Restrepo, I., & Montoya-Restrepo, L. A. (2018). Strategic decision-moment: Beer game comparison between two colombian universities. The International Journal of Management Education, 16 (3), 504-514. https://doi.org/10.1016/j.ijme.2018.10.001 DOI: https://doi.org/10.1016/j.ijme.2018.10.001
- Jagtap, S., Saxena, P., & Salonitis, K. (2021). Food 4.0: Implementation of the Augmented Reality Systems in the Food Industry. 54thCIRP Conference on Manufacturing Systems, 104, 1137-1142. https://doi.org/10.1016/j.procir.2021.11.191 DOI: https://doi.org/10.1016/j.procir.2021.11.191
- Kaur, R., Gabrijelčič, D., & Klobučar, T. (2023). Artificial intelligence for cybersecurity: Literature review and future research directions. Information Fusion, 97, 1-29. https://doi.org/10.1016/j.inffus.2023.101804 DOI: https://doi.org/10.1016/j.inffus.2023.101804
- Kimbrough, S. O., & Fang-Zhong, D. W. (2002). Computers Play the Beer Game: Can Artificial Agents Manage Supply Chains? Decision Support Systems, 33 (3), 323-333. https://doi.org/10.1016/S0167-9236(02)00019-2 DOI: https://doi.org/10.1016/S0167-9236(02)00019-2
- Kreimeier, D., Morlock, F., Prinz, C., & Pollmann, J. (2013). Praktisches Lernen in einer Fertigungsumgebung - Lernfabrik vermittelt Ganzheitliche Produktionssysteme und Lean Managements. Industrial Ingeniering 2013, 26-29.
- Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6 (4), 239-242. https://doi.org/10.1007/s12599-014-0334-4 DOI: https://doi.org/10.1007/s12599-014-0334-4
- León-García, O. A., & Bermúdez-Segura, M. Y. (2021). Barriers and driving forces for the implementation of Industry 4.0 in organizations: a state of the art. Revista de Investigación, Desarrollo e Innovación,11 (3), 451-466. https://doi.org/10.19053/20278306.v11.n3.2021.13343 DOI: https://doi.org/10.19053/20278306.v11.n3.2021.13343
- Marlés-Betancourt, C., Hermosa-Guzmán, D., & Correa-Cruz, L. (2021). Fomento de la conciencia hídrica en estudiantes universitarios mediante un juego como estrategia didáctica. Revista de Investigación, Desarrollo e Innovación, 11(2), 361-372. https://doi.org/10.19053/20278306.v11.n2.2021.12655 DOI: https://doi.org/10.19053/20278306.v11.n2.2021.12655
- Martínez-Ruiz, X. (2019). Disrupción y aporía: de camino a la educación 4.0. Innovación Educativa, 19 (80), 7-12.
- Medoh, C., & Telukdarie, A. (2022). The Future of Cybersecurity: A System Dynamics Approach. Procedia Computer Science, 200, 318-326. https://doi.org/10.1016/j.procs.2022.01.230 DOI: https://doi.org/10.1016/j.procs.2022.01.230
- Moshiri, M., Charles, A., Elkaseer, A., Scholz, S., Mohanty, S., & Tosello, G. (2020). An Industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system. 53rd CIRP Conference on Manufacturing Systems, 93, 32-37. https://doi.org/10.1016/j.procir.2020.04.151 DOI: https://doi.org/10.1016/j.procir.2020.04.151
- Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2022). A Literature Review of the Challenges and Opportunities of the Transition from Industry 4.0 to Society 5.0. Energies, 15 (17), 1-29. https://doi.org/10.3390/en15176276 DOI: https://doi.org/10.3390/en15176276
- Mustafee, N., & Katsaliaki, K. (2010). The blood supply game. Proceedings - Winter Simulation Conference, 327-338. https://doi.org/10.1109/WSC.2010.5679151 DOI: https://doi.org/10.1109/WSC.2010.5679151
- Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S. (2021). Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review. Procedia Computer Science, 181, 51-58. https://doi.org/10.1016/j.procs.2021.01.104 DOI: https://doi.org/10.1016/j.procs.2021.01.104
- Rodríguez-Villalobosa, A., & Sempere-Ripoll, F. (2015). Implexa - Mucho más que el clásico juego de la cerveza. INNODOCT, 232-241. http://dx.doi.org/10.4995/innodoct.2015.111
- Rojas-Arenas, I. D., Jiménez-Medina, E., & Yepes-Callejas, R. (2021). Competencias Profesionales e Industria 4.0. Revista Interamericana de Investigación, Educación y Pedagogía, 14 (2), 169-194. https://doi.org/10.15332/25005421.6299 DOI: https://doi.org/10.15332/25005421.6299
- Romero-Rodríguez, D., Aguirre-Acosta, R., Polo-Obregón, S., Sierra-Altamiranda, Á., & Daza-Escorcia, J. M. (2016). Medición del efecto látigo en redes de suministro. Ingeniare, 20, 13-32. https://doi.org/10.18041/1909-2458/ingeniare.20.406 DOI: https://doi.org/10.18041/1909-2458/ingeniare.20.406
- Rüssmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (Septiembre de 2015). Industry 4.0: The future of productivity and growth in manufacturing industries. https://www.bcg.com/publications
- Sackey, S., Bester, A., & Adams, D. (2017). Industry 4.0 learning factory didactic design parameters for industrial engineering education in South Africa. South African Journal of Industrial Engineering, 28 (1), 114-124. https://doi.org/10.7166/28-1-1584 DOI: https://doi.org/10.7166/28-1-1584
- Salis, A., Marguglio, A., De Luca, G., Razzetti, S., Quadrini, W., & Gusmeroli, S. (2023). An Edge-Cloud based Reference Architecture to support cognitive solutions in Process Industry. Procedia Computer Science, 217, 20-30. https://doi.org/10.1016/j.procs.2022.12.198 DOI: https://doi.org/10.1016/j.procs.2022.12.198
- Santos, B., Alberto, A., Lima, T., & Charrua-Santos, F. (2018). Indústria 4.0: desafios e oportunidades. Revista Produção e Desenvolvimento, 4 (1), 111-124. https://doi.org/10.32358/rpd.2018.v4.316
- Schlaepfer, R. C., Koch, M., & Merkofer, P. (2015). Industry 4.0. Challenges and solutions for the digital transformation and use of exponential technologies. Deloitte.
- Soori, M., Arezoo, B., & Dastres, R. (2023). Artificial intelligence, machine learning and deep learning in advanced robotics, a review. Cognitive Robotics, 3, 54-70. https://doi.org/10.1016/j.cogr.2023.04.001 DOI: https://doi.org/10.1016/j.cogr.2023.04.001
- Ștefan, U. S., Hauge, J. B., Hasse, F., & Ștefan, A. (2019). Using Serious Games and Simulations for Teaching Co-Operative Decision-making. Procedia Computer Science, 162, 745-753. https://doi.org/10.1016/j.procs.2019.12.046 DOI: https://doi.org/10.1016/j.procs.2019.12.046
- Tavcar, J., Duhovnik, J., & Horvath, I. (2018). Towards validation of smart cyber-physical systems. Proceedings of the twelfth International Symposium on Tools and Methods of Competitive Engineering - TMCE 2018, 17-26.
- Thames, L., & Schaefer, D. (2016). Software-Defined Cloud Manufacturing for Industry 4.0. Procedia CIRP, 52, 12-17. https://doi.org/10.1016/j.procir.2016.07.041 DOI: https://doi.org/10.1016/j.procir.2016.07.041
- Thompson, K. M., & Badizadegan, N. D. (2015). Valuing Information in Complex Systems: An Integrated Analytical Approach to Achieve Optimal Performance in the Beer Distribution Game. Business, Economics, Computer Science, 2677-2686. DOI: https://doi.org/10.1109/ACCESS.2015.2505730
- Vergara-Pareja, C. M., Nielsen-Niño, J. B., & Niño-Vega, J. A. (2021). La gamificación y el fortalecimiento de la habilidad oral en inglés a niños de primera infancia. Revista de Investigación, Desarrollo e Innovación, 11 (3), 569-578. https://doi.org/10.19053/20278306.v11.n3.2021.13355 DOI: https://doi.org/10.19053/20278306.v11.n3.2021.13355
- Witkowski, K. (2017). Internet of Things, Big Data, Industry 4.0 - Innovative Solutions in Logistics and Supply Chains Management. Procedia Engineering, 182, 763-769. https://doi.org/10.1016/j.proeng.2017.03.197 DOI: https://doi.org/10.1016/j.proeng.2017.03.197
Descargas
Los datos de descargas todavía no están disponibles.