Framework for Cobots´ incorporation in manufacturing lines

Main Article Content

Sergio Salimbeni Gandino
Daniel Mamani

Abstract

The aim of this study is the development of a framework for the evaluation and feasibility analysis for the incorporation of collaborative robots in the manufacturing lines. This work has been carried out in two phases: (1) a review of the literature regarding Digital Transformation and Industry 4.0 and its associated technologies was carried out; (2) existing techniques were studied for analysis of collaborative robots´ incorporation in workstations; a reference framework was later developed for feasibility analysis. It is concluded that a 5-factor analysis is one of the most convenient evaluation ways:  technical, ergonometric and quality aspects, economic-financial and regulatory viewpoint. The latter point is a contribution to current research work.

Downloads

Download data is not yet available.

Article Details

How to Cite
Salimbeni Gandino, S., & Mamani, D. (2020). Framework for Cobots´ incorporation in manufacturing lines. PODIUM, (38), 159–180. https://doi.org/10.31095/podium.2020.38.10
Section
Scientific articles
Author Biographies

Sergio Salimbeni Gandino, Universidad del Salvador

Doctor in Business Administration, Atlantic International University. Docente- investigador, Universidad del Salvador- Argentina.

Daniel Mamani, Universidad del Salvador

Estudiante de Licenciatura en Ciencias Económicas y Empresariales, Universidad del Salvador- Argentina.

References

Acosta, M. (2019). Inteligencia artificial: la cibernética del ser vivo y de la máquina. Naturaleza y Libertad. Revista de Estudios Interdisciplinares, (12), 13–30. https://doi.org/10.24310/natylib.2019.v0i12.6262

Ansari, F., Glawar, R., y Nemeth, T. (2019). PriMa: a prescriptive maintenance model for cyber-physical production systems. International Journal of Computer Integrated Manufacturing, 32(4–5), 482–503. https://doi.org/10.1080/0951192X.2019.1571236

Baum, M. S., y Warwick, F. (1997). Secure electronic commerce. New Jersey: Prentice-Hall.

Benotsmane, R., Kovács, G., y Dudás, L. (2019). Economic, social impacts, and operation of smart factories in Industry 4.0 focusing on simulation and artificial intelligence of collaborating robots. Social Sciences, 8(5), 1–20. https://doi.org/10.3390/socsci8050143

Capek, K. (2019). R. U. R.: Rossum's Universal Robots. Digireads.com Publishing.

Colombo, A.W., Bangemann, T., Karnouskos, S., Delsing, J., Stluka, P., Harrison, R., Jammes, F., y Lastra, J. L. (2014). Industrial Cloud-Based Cyber-Physical Systems: The IMC-AESOP Approach. Springer.

Demartini, M., y Tonelli, F. (2018). Quality management in the industry 4.0 era. Proceedings of the XXIII Summer School Francesco Turco- Industrial System Engineering.

DKE - Deutsche Kommission Elektrotechnik Elektronik Informationstechnik. (2020). German Standardization Roadmap Industrie 4.0. Recuperado de https://www.din.de/blob/65354/57218767bd6da1927b181b9f2a0d5b39/roadmap-i4-0-e-data.pdf

Femeval (n.d.). R-Evolución Industrial: Más Segura Más Productiva Más Humana Prevención Y Retos 4.0. Recuperado de https://www.femeval.es/dam/jcr:59be7c28-1c13-4d42-b77c-62120f061075/GUIA%20PREVENCION%20Y%20RETOS%204.0.pdf

Femeval. (2016). Más Humana Robots Industriales Y Cobots. https://www.femeval.es/dam/jcr:fd091e5f-3c97-42fd-9981-680e8232a645/Guia_Robots.pdf

Ford, W., y Baum, M. S. (1997). Secure Electronic Commerce (1ra ed.). New Jersey: Prentice-Hall, Inc.

Gombolay, M., Bair, A., Huang, C., y Shah, J. (2017). Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences. The International Journal of Robotics Research, 36(5–7), 597–617. https://doi.org/10.1177/0278364916688255

Gualtieri, L., Rauch, E., Rojas, R., Vidoni, R., y Matt, D. T. (2018). Application of Axiomatic Design for the Design of a Safe Collaborative Human-Robot Assembly Workplace. MATEC Web of Conferences, 223. https://doi.org/10.1051/matecconf/201822301003

Illés, B., Tamás, P., Dobos, P., y Skapinyecz, R. (2017). New challenges for quality assurance of manufacturing processes in industry 4.0. Solid State Phenomena, 261, 481–486. https://doi.org/10.4028/www.scientific.net/SSP.261.481

Instituto Nacional de Estadística y Censos de la República Argentina. (2010). Característica de la población y sus hogares. Ciudad de Buenos Aires. Recuperado de https://www.indec.gob.ar/

Ishiguro, H., Yamaoka, F., Kanda, T., Mutlu, B., y Hagita, N. (2009). The Industrial Internet of Things Volume G1: Reference Architecture. Industrial Internet Consortium, 1.80, (69).

Jacob, D. (2018). Quality 4.0 Series: The Quality Leader’s New Product Introduction Playbook.

Kragic, D., Gustafson, J., Karaoguz, H., Jensfelt, P., y Krug, R. (2018). Interactive, collaborative robots: Challenges and opportunities. IJCAI International Joint Conference on Artificial Intelligence Proceedings, 18–25. https://doi.org/10.24963/ijcai.2018/3

Krajewski, L., Ritzman, R., y Malhotra, M. (2008). Administración de Operaciones: Procesos y Cadenas de Valor. México: Pearson Educación.

Lee, J., Davari, H., Singh, J., y Pandhare, V. (2018). Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. Manufacturing Letters, 18, 20–23. https://doi.org/10.1016/j.mfglet.2018.09.002

Leitão, P., Colombo, A. W., y Karnouskos, S. (2016). Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges. Computers in Industry, 81. https://doi.org/10.1016/j.compind.2015.08.004

Lydon, B. (2019). RAMI 4.0 reference architectural model for Industrie 4.0. InTech, 66(2).

Matt, D.T., Modrák, V., y Zsifkovits, H. (2020). Industry 4.0 for SMEs. Challenge, Opportunities and Requirements. Springer Link. https://doi.org/10.1007/978-3-030-25425-4

Munzer, T., Toussaint, M., y Lopes, M. (2017). Preference learning on the execution of collaborative human-robot tasks. Proceedings - IEEE International Conference on Robotics and Automation, 879–885. https://doi.org/10.1109/ICRA.2017.7989108

Nylén, D., y Holmström, J. (2015). Digital innovation strategy: A framework for diagnosing and improving digital product and service innovation. Business Horizons, 58(1), 57–67. https://doi.org/10.1016/j.bushor.2014.09.001

Oakland, J.S. (2002). Gerenciamento da qualidade total. São Paulo, Brasil: Nobel.

Qin, J., Liu, Y., y Grosvenor, R. (2016). A Categorical Framework of Manufacturing for Industry 4.0 and Beyond. Procedia CIRP, 52, 173–178. https://doi.org/10.1016/j.procir.2016.08.005

Rauch, E., Matt, D. T., Brown, C. A., Towner, W., Vickery, A., y Santiteerakul, S. (2018). Transfer of industry 4.0 to small and medium sized enterprises. Advances in Transdisciplinary Engineering, 7, 63–71. https://doi.org/10.3233/978-1-61499-898-3-63

Rauch, E. (2020) Industry 4.0+: The Next Level of Intelligent and Self-optimizing Factories. In: Ivanov V., Trojanowska J., Pavlenko I., Zajac J., Peraković D. (eds) Advances in Design, Simulation and Manufacturing III. DSMIE 2020. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-50794-7_18

Salimbeni, S., y Bianchi, S. (2019). Estado actual y evolución de la industria nacional hacia la industria 4.0. Innova UNTREF Revista Argentina en Ciencia y Tecnología, 3. https://www.untref.edu.ar/innova/en_curso_2.php

Sanders, A., Elangeswaran, C., y Wulfsberg, J. (2016). Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing. Journal of Industrial Engineering and Management, 9(3), 811–833. https://doi.org/10.3926/jiem.1940

Secretaría de Salud Laboral de CCOO de Madrid. (2016). Métodos de evaluación ergonómica. Comisiones Obreras de Madrid Salud Laboral de Madrid. Recuperado de http://www.madrid.ccoo.es/54c00d40d3dea466094a35e6b6a867d9000045.pdf

Simões Gomes, F.C. (2002). Gestão da cadeia de suprimentos integrada à tecnologia da informação. São Paulo, Brasil: Thomson

Sommer, L. (2015). Industrial revolution - Industry 4.0: Are German manufacturing SMEs the first victims of this revolution? Journal of Industrial Engineering and Management, 8(5), 1512–1532. https://doi.org/10.3926/jiem.1470

Xin, Y., y Ojanen, V. (2018). The impact of digitalization on product lifecycle management: How to deal with it? IEEE International Conference on Industrial Engineering and Engineering Management, 2017-Decem, 1098–1102. https://doi.org/10.1109/IEEM.2017.8290062