Abstract
Learning Factory could be considered as an instrument for effective learning and training of advanced manufacturing concepts, through true connection between universities and companies. A supporting infrastructure, i.e. an implementation architecture, should be designed in such way to strengthen this objectives. This paper presents a contribution to the Learning Factory architecture implementation, considering different implementation infrastructures: physical stationary infrastructure, physical mobile infrastructure, internet-based infrastructure and blended infrastructure. A Learning Factory implementation framework is presented considering three dimensions: education paradigm, implementation infrastructure, and the learning object. Additionally, two types of the Learning Factory architectures, the physical stationary and internet-based implementation infrastructures, designed and implemented in an ongoing course on industrial engineering are presented as well.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Putnik, G., Costa, E., Alves, C., Castro, H., Ferreira, L., Shah, V.: Learning factory platforms for advanced networked and service-based manufacturing systems and organizations. Part III – Freeware collaborative environment. In: Proceedings of 2100 Projects Association Join Conferences 2, pp. 78–83 (2014)
Abele, E., et al.: Learning factories for future oriented research and education in manufacturing. CIRP Ann. 66(2), 803–826 (2017)
Jorgensen, J., Lamancusa, J., Zayas-Castro, J., Ratner, J.: The learning factory - curriculum integration of design and manufacturing. In: Proceedings of the Fourth World Conference on Engineering Education, pp. 1–7. Proceedings of the World Conference on Engineering Education, Minneapolis, MN (1995)
Lamancusa, J., Simpson, T.: The learning factory–10 years of impact at Penn state. In: International Conference on Engineering Education, pp. 16–21. Gainesville, Florida (2004)
Lamancusa, J., Zayas, J., Soyster, A., Morell, L., Jorgensen, J.: 2006 Bernard M. Gordon Prize Lecture*: the learning factory: industry‐partnered active learning. J. Eng. Educ. 97(1), 5–11 (2008)
Andersen, A., Brunoe, T., Nielsen, K.: Engineering education in changeable and reconfigurable manufacturing: using problem-based learning in a learning factory environment. Procedia CIRP 81, 7–12 (2019)
Gräßler, I., Pöhler, A., Pottebaum, J.: Creation of a learning factory for cyber physical production systems. Procedia CIRP 54, 107–112 (2016)
Putnik, G., et al.: Advanced Manufacturing Systems and Enterprises – Towards Ubiquitous and Cloud Manufacturing. School of Engineering, University of Minho, Guimarães (2012)
Abele, E., et al.: Learning factories for research, education, and training. Procedia CIRP 32, 1–6 (2015)
Zancul, E., Martins, H., Lopes, F., da Silva Neto, F.: Machine vision applications in a learning factory. Procedia Manuf. 45, 516–521 (2020)
Mourtzis, D., Siatras, V., Angelopoulos, J., Panopoulos, N.: An augmented reality collaborative product design cloud-based platform in the context of learning factory. Procedia Manuf. 45, 546–551 (2020)
Simons, S., Abé, P., Neser, S.: Learning in the AutFab–the fully automated Industrie 4.0 learning factory of the University of Applied Sciences Darmstadt. Procedia Manuf. 9, 81–88 (2017)
Francalanza, E., et al.: Specifications for a digital training toolbox for Industry 4.0. FME Trans. 49(4), 886–893 (2021)
Gerstein, J.: Moving from Education 1.0 through Education 2.0 towards Education 3.0. Experiences in Self-Determined Learning, pp. 83–98 (2014)
Putnik, G., Alves, C.: Social network-based education and Education 3.0: application for education on design and teaching of Industry 4.0 concepts. Procedia CIRP (In press)
Putnik, G., Carvalho, C., Alves, C.: Education 3.0 and Social Network-Based Education: An Implementation Framework and Experiment at the University of Minho for Education and Training in Quality Management. Center for Quality (2015)
Acknowledgements
The authors would like to thank the EUPA Malta for funding of ICARUS – An Innovative Higher Education Institution Training Toolbox to EffeCtively AddRess the EUropean InduStry 4.0 Skills Gap and Mismatches via Erasmus+ Project No. 2019-1-MT01-KA203-051265 (icarusproject.edu.mt).
This work has been also supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Putnik, G.D., Alves, C., Varela, L., Pinheiro, P. (2022). A Contribution to the Learning Factory Architecture Implementations for Engineering Education. In: Matt, D.T., Vidoni, R., Rauch, E., Dallasega, P. (eds) Managing and Implementing the Digital Transformation. ISIEA 2022. Lecture Notes in Networks and Systems, vol 525. Springer, Cham. https://doi.org/10.1007/978-3-031-14317-5_30
Download citation
DOI: https://doi.org/10.1007/978-3-031-14317-5_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-14316-8
Online ISBN: 978-3-031-14317-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)