- -

Cyber-physical production system assessment within the manufacturing industries in the Amazon

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Cyber-physical production system assessment within the manufacturing industries in the Amazon

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Coelho, Moises Andrade es_ES
dc.contributor.author Oliveira, Franciel Andrade de es_ES
dc.contributor.author Dessimoni, Lindara Hage es_ES
dc.contributor.author Libório, Nicole Sales es_ES
dc.date.accessioned 2022-02-07T09:49:10Z
dc.date.available 2022-02-07T09:49:10Z
dc.date.issued 2022-01-31
dc.identifier.uri http://hdl.handle.net/10251/180586
dc.description.abstract [EN] Cyber-physical production systems (CPPS) represent a relevant aspect related to industry 4.0 and the advances promoted by the digitization and use of artificial intelligence in the production environment in the search for the development of smart factories. This study aims to assess the maturity level of cyber-physical production system (CPPS) within manufacturing industries in the Amazon. The research uses a quali-quantitative approach to analyze the problem by conducting exploratory case studies (indepth case) and the research framework used aimed to evaluate and measure the CPPS within three manufacturing industries in the Amazon (n = 3) to measure their maturity. Findings reveal a positive relationship between the type of production system adopted by the company, the level of automation, and the maturity of the CPPS. The proposed methodology can assist other companies in the development of the technological strategy, supporting the digital transformation process in order to obtain competitive advantage. The study contributes by addressing the topic of cyber-physical production systems from the point of view of operations management and strategy. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Industry 4.0 es_ES
dc.subject Cyber-physical production system es_ES
dc.subject Operations management es_ES
dc.subject Strategic process es_ES
dc.subject Amazon es_ES
dc.title Cyber-physical production system assessment within the manufacturing industries in the Amazon es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2022.16130
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Coelho, MA.; Oliveira, FAD.; Dessimoni, LH.; Libório, NS. (2022). Cyber-physical production system assessment within the manufacturing industries in the Amazon. International Journal of Production Management and Engineering. 10(1):51-64. https://doi.org/10.4995/ijpme.2022.16130 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2022.16130 es_ES
dc.description.upvformatpinicio 51 es_ES
dc.description.upvformatpfin 64 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\16130 es_ES
dc.description.references Afanasev, M.Y., Fedosov, Y.V., Andreev, Y.S., Krylova, A.A., Shorokhov, S.A., Zimenko, K.V., & Kolesnikov, M.V. (2019). A concept for integration of voice assistant and modular cyber-physical production system. In 2019 IEEE International Conference on Industrial Informatics (INDIN) pp. 27-32. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/INDIN41052.2019.8972015 es_ES
dc.description.references Ait-Alla, A., Kreutz, M., Rippel, D., Lütjen, M., & Freitag, M. (2019). Simulation-based Analysis of the Interaction of a Physical and a Digital Twin in a Cyber-Physical Production System. IFAC-PapersOnLine, 52(13), 1331-1336. https://doi.org/10.1016/j.ifacol.2019.11.383 es_ES
dc.description.references Agca, O., Gibson, J., Godsell, J., Ignatius, J., Wyn Davies, C., & Xu, O. (2017). An Industry 4 Readiness Assessment Tool. International Institute for Product and Service Innovation, 1-19. es_ES
dc.description.references Alves, C., & Putnik, G.D. (2019). Cyber-Physical Production System (CPPS) decision making duration time impact on manufacturing system performance. FME Transactions, 47(4), 675-682. https://doi.org/10.5937/fmet1904675A es_ES
dc.description.references Ansari, F., Hold, P., & Khobreh, M. (2020). A knowledge-based approach for representing jobholder profile toward optimal human-machine collaboration in cyber physical production systems. CIRP Journal of Manufacturing Science and Technology, 28, 87-106. https://doi.org/10.1016/j.cirpj.2019.11.005 es_ES
dc.description.references Ashtari Talkhestani, B., Jung, T., Lindemann, B., Sahlab, N., Jazdi, N., Schloegl, W., & Weyrich, M. (2019). An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System. At-Automatisierungstechnik, 67(9), 762-782. https://doi.org/10.1515/auto-2019-0039 es_ES
dc.description.references Baheti, R., & Gill, H. (2011). Cyber-physical systems. The Impact of Control Technology, p. 161-166. es_ES
dc.description.references Bardin, L. (1977). L'Analyse de contenu. Presses Universitaires de France. es_ES
dc.description.references Benbasat, I., Goldstein, D.K., & Mead, M. (1987). The case research strategy in studies of information systems. MIS Quarterly: Management Information Systems, 11(3), 369-386. https://doi.org/10.4135/9781849209687.n5 es_ES
dc.description.references Berger, C., Zipfel, A., Braunreuther, S., & Reinhart, G. (2019). Approach for an event-driven production control for cyber-physical production systems. In Procedia CIRP, 79, 349-354. Elsevier B.V. https://doi.org/10.1016/j.procir.2019.02.085 es_ES
dc.description.references Berlak, J., Berg, J., Stangl, M., & Baumgart, L. (2020). Real-Time IoT-Based Production Planning and Control of Industrial Robots in an Automated Cyber-Physical Production System Under Dynamic Conditions: Lessons Learned from a Make-to-Order Usage Case. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12014 LNCS, pp. 485-492. Springer. https://doi.org/10.1007/978-3-030-45096-0_59 es_ES
dc.description.references Borangiu, T., Morariu, O., Răileanu, S., Trentesaux, D., Leitão, P., & Barata, J. (2020). Digital transformation of manufacturing. Industry of the future with cyber-physical production systems. Romanian Journal of Information Science and Technology, 23(1), 3-37. es_ES
dc.description.references Brauner, P., & Ziefle, M. (2019). Why consider the human-in-the-loop in automated cyber-physical production systems? Two cases from cross-company cooperation. In 2019 IEEE International Conference on Industrial Informatics (INDIN), 2019-July, pp. 861-866. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/INDIN41052.2019.8972142 es_ES
dc.description.references Brauner, P., Philipsen, R., Valdez, A.C., & Ziefle, M. (2019). Human interaction under risk in cyber-physical production systems. In Advances in Intelligent Systems and Computing, 822, 421-430. Springer Verlag. https://doi.org/10.1007/978-3-319-96077-7_45 es_ES
dc.description.references Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke, H., & Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. In 2019 IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2019-September, pp. 729-736. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ETFA.2019.8869038 es_ES
dc.description.references Chawla, V.K., Angra, S., Suri, S., & Kalra, R.S. (2020). A synergic framework for cyber-physical production systems in the context of industry 4.0 and beyond. International Journal of Data and Network Science, 4(2), 237-244. https://doi.org/10.5267/j.ijdns.2019.12.002 es_ES
dc.description.references Creswell, J.W. (2009). Research design: qualitative, quantitative, and mixed methods approaches. 3. ed. California, USA: Sage. es_ES
dc.description.references Cruz Salazar, L.A., Ryashentseva, D., Lüder, A., & Vogel-Heuser, B. (2019). Cyber-physical production systems architecture based on multi-agent's design pattern-comparison of selected approaches mapping four agent patterns. International Journal of Advanced Manufacturing Technology, 105(9), 4005-4034. https://doi.org/10.1007/s00170-019-03800-4 es_ES
dc.description.references Delloite. (2015). Industry 4.0: challenges and solutions for the digital transformation and use of exponential technologies. Suíça: Delloite. es_ES
dc.description.references Ding, K., Chan, F.T. S., Zhang, X., Zhou, G., & Zhang, F. (2019). Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors. International Journal of Production Research, 57(20), 6315-6334. https://doi.org/10.1080/00207543.2019.1566661 es_ES
dc.description.references Drennan-Stevenson, K. (2019). Real-world implementation of cyber-physical production systems in smart manufacturing: Cognitive automation, industrial processes assisted by data analytics, and sustainable value creation networks. Journal of Self-Governance and Management Economics, 7(3), 14-20. https://doi.org/10.22381/JSME7320192 es_ES
dc.description.references Eckhart, M., Ekelhart, A., Lüder, A., Biffl, S., & Weippl, E. (2019). Security Development Lifecycle for Cyber-Physical Production Systems. In 2019 IECON Proceedings (Industrial Electronics Conference), 2019-October, pp. 3004-3011. IEEE Computer Society. https://doi.org/10.1109/IECON.2019.8927590 es_ES
dc.description.references Eisenhardt, K.M. (1989). Building Theories from Case Study Research. Academy of Management Review, 14(4), 532-550. https://doi.org/10.5465/amr.1989.4308385 es_ES
dc.description.references European Parliament. (2016). Industry 4.0. Bruxelas: EP. es_ES
dc.description.references Ferreira, J., Lopes, F., Doumeingts, G., Sousa, J., Mendonça, J.P., Agostinho, C., & Jardim-Goncalves, R. (2020). Empowering SMEs with Cyber-Physical Production Systems: From Modelling a Polishing Process of Cutlery Production to CPPS Experimentation. In Studies in Computational Intelligence, 864, 139-177. Springer. https://doi.org/10.1007/978-3-030-38704-4_7 es_ES
dc.description.references Francalanza, E., Borg, J., & Constantinescu, C. (2017). A knowledge-based tool for designing cyber physical production systems. Computers in Industry, 84, 39-58. https://doi.org/10.1016/j.compind.2016.08.001 es_ES
dc.description.references Francalanza, E., Mercieca, M., & Fenech, A. (2018). Modular System Design Approach for Cyber Physical Production Systems. In Procedia CIRP, 72, 486-491. Elsevier B.V. https://doi.org/10.1016/j.procir.2018.03.090 es_ES
dc.description.references Geisbauer, R., Vedso, J., & Schrauf, S. (2016). Industry 4.0: Building the digital enterprise. 2016 Global Industry 4.0 Survey, 1-36. Retrieved from www.pwc.com/industry40. es_ES
dc.description.references Gill, H. (2008). From vision to reality: cyber-physical systems. Present. HCSS Natl. Work. New Res. Dir. High Confd. Transp. CPS Automotive, Aviat. Rail. es_ES
dc.description.references Glatt, M., & Aurich, J.C. (2019). Physical modeling of material flows in cyber-physical production systems. In Procedia Manufacturing, 28, 10-17. Elsevier B.V. https://doi.org/10.1016/j.promfg.2018.12.003 es_ES
dc.description.references Gronau, N. (2019). Determining the appropriate degree of autonomy in cyber-physical production systems. CIRP Journal of Manufacturing Science and Technology, 26, 70-80. https://doi.org/10.1016/j.cirpj.2019.05.001 es_ES
dc.description.references Germany Trade & Invest. (2014). Industrie 4.0. Germany, GTAI, 2014. es_ES
dc.description.references Guérin, F., Laville, A., Daniellou, F., Duraffourg, J., Kerguelen, A. (2001). Compreender o trabalho para transformá-lo: a prática da ergonomia. São Paulo: Blücher: Fundação Vanzolini. es_ES
dc.description.references Govender, E., Telukdarie, A., & Sishi, M.N. (2019). Approach for Implementing Industry 4.0 Framework in the Steel Industry. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1314-1318. IEEE Computer Society. https://doi.org/10.1109/IEEM44572.2019.8978492 es_ES
dc.description.references Hu, F., Lu, Y., Vasilakos, A.V., Hao, Q., Ma, R., Patil, Y., … Xiong, N.N. (2016). Robust Cyber-Physical Systems: Concept, models, and implementation. Future Generation Computer Systems, 56, 449-475. https://doi.org/10.1016/j.future.2015.06.006 es_ES
dc.description.references Iglesias, A., Sagardui, G., & Arellano, C. (2019). Industrial cyber-physical system evolution detection and alert generation. Applied Sciences (Switzerland), 9(8). https://doi.org/10.3390/app9081586 es_ES
dc.description.references Lee, J., Lapira, E., Bagheri, B., & Kao, H. an. (2013). Recent advances and trends in predictive manufacturing systems in big data environment. Manufacturing Letters, 1(1), 38-41. https://doi.org/10.1016/j.mfglet.2013.09.005 es_ES
dc.description.references Lee, J., Jin, C., & Bagheri, B. (2017). Cyber physical systems for predictive production systems. Production Engineering, 11(2), 155-165. https://doi.org/10.1007/s11740-017-0729-4 es_ES
dc.description.references Lee, J.H., Do Noh, S., Kim, H.J., & Kang, Y.S. (2018). Implementation of cyber-physical production systems for quality prediction and operation control in metal casting. Sensors (Switzerland), 18(5). https://doi.org/10.3390/s18051428 es_ES
dc.description.references Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., … Schroter, M. (2015). Industrie 4.0 Readiness. Impuls-Stiftung, 0-76. es_ES
dc.description.references Liu, C., Jiang, P., & Jiang, W. (2020). Web-based digital twin modeling and remote control of cyber-physical production systems. Robotics and Computer-Integrated Manufacturing, 64. https://doi.org/10.1016/j.rcim.2020.101956 es_ES
dc.description.references Lins, T., & Oliveira, R.A. R. (2020). Cyber-physical production systems retrofitting in context of industry 4.0. Computers and Industrial Engineering, 139. https://doi.org/10.1016/j.cie.2019.106193 es_ES
dc.description.references Llamuca, E.S., Garcia, C.A., Naranjo, J.E., & Garcia, M.V. (2019). Cyber-physical production systems for industrial shop-floor integration based on AMQP. In Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019, pp. 48-54. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICI2ST.2019.00014 es_ES
dc.description.references Loucopoulos, P., Kavakli, E., & Chechina, N. (2019). Requirements Engineering for Cyber Physical Production Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11483 LNCS, pp. 276-291. Springer Verlag. https://doi.org/10.1007/978-3-030-21290-2_18 es_ES
dc.description.references Marconi, M.A., & Lakatos, E.M. (2002). Técnicas de pesquisa: planejamento e execução de pesquisas, amostragens e técnicas de pesquisa, elaboração, analise e interpretação de dados. 5. ed. São Paulo: Atlas. es_ES
dc.description.references Mayrhofer, M., Mayr-Dorn, C., Zoitl, A., Guiza, O., Weichhart, G., & Egyed, A. (2019). Assessing adaptability of software architectures for cyber physical production systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11681 LNCS, pp. 143-158. Springer Verlag. https://doi.org/10.1007/978-3-030-29983-5_10 es_ES
dc.description.references McCutcheon, D.M., & Meredith, J.R. (1993). Conducting case study research in operations management. Journal of Operations Management, 11(3), 239-256. https://doi.org/10.1016/0272-6963(93)90002-7 es_ES
dc.description.references Miguel, P.A.C. (Org.). (2012). Metodologia de pesquisa em engenharia de produção e gestão de operações. 2. ed. Rio de Janeiro: Elsevier: ABEPRO. es_ES
dc.description.references Meixner, K., Rabiser, R., & Biffl, S. (2019). Towards modeling variability of products, processes and resources in cyber-physical production systems engineering. In ACM International Conference Proceeding Series (Vol. B). Association for Computing Machinery. https://doi.org/10.1145/3307630.3342411 es_ES
dc.description.references Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., … Ueda, K. (2016). Cyber-physical systems in manufacturing. CIRP Annals, 65(2), 621-641. https://doi.org/10.1016/j.cirp.2016.06.005 es_ES
dc.description.references Mourad, M.H., Nassehi, A., Schaefer, D., & Newman, S.T. (2020). Assessment of interoperability in cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 61. https://doi.org/10.1016/j.rcim.2019.101832 es_ES
dc.description.references Mourtzis, D., & Vlachou, E. (2016). Cloud-based cyber-physical systems and quality of services. TQM Journal, 28(5), 704-733. https://doi.org/10.1108/TQM-10-2015-0133 es_ES
dc.description.references Mühlfelder, M. (2019). Analysis and design of a cyber-physical production system (CPPS) in sensor manufacturing. A case study. In Advances in Intelligent Systems and Computing, 822, pp. 391-400. Springer Verlag. https://doi.org/10.1007/978-3-319-96077-7_41 es_ES
dc.description.references Park, K.T., Lee, J., Kim, H.J., & Noh, S.D. (2020). Digital twin-based cyber physical production system architectural framework for personalized production. International Journal of Advanced Manufacturing Technology, 106(5-6), 1787-1810. https://doi.org/10.1007/s00170-019-04653-7 es_ES
dc.description.references Patalas-Maliszewska, J., & Schlueter, N. (2019). Model of a knowledge management for system integrator(s) of cyberphysical production systems (CPPS). In Lecture Notes in Mechanical Engineering (pp. 92-103). Pleiades Publishing. https://doi.org/10.1007/978-3-030-18715-6_8 es_ES
dc.description.references Prist, M., Monteriu, A., Freddi, A., Pallotta, E., Cicconi, P., Giuggioloni, F., … Longhi, S. (2019). Cyber-Physical Manufacturing Systems for Industry 4.0: Architectural Approach and Pilot Case. In 2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 - Proceedings (pp. 219-224). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/METROI4.2019.8792880 es_ES
dc.description.references Pinzone, M., Albè, F., Orlandelli, D., Barletta, I., Berlin, C., Johansson, B., & Taisch, M. (2020). A framework for operative and social sustainability functionalities in Human-Centric Cyber-Physical Production Systems. Computers and Industrial Engineering, 139. https://doi.org/10.1016/j.cie.2018.03.028 es_ES
dc.description.references PricewaterhouseCoopers. (2014). Industry 4.0: opportunities and challenges of the industrial internet. Germany: PWC. es_ES
dc.description.references Rocha, A. Di., Tripa, J., Alemao, D., Peres, R.S., & Barata, J. (2019). Agent-based plug and produce cyber-physical production system - Test case. In 2019 IEEE International Conference on Industrial Informatics (INDIN), 2019-July, pp. 1545-1551. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/INDIN41052.2019.8972169 es_ES
dc.description.references Romero-Silva, R., & Hernández-López, G. (2020). Shop-floor scheduling as a competitive advantage: A study on the relevance of cyber-physical systems in different manufacturing contexts. International Journal of Production Economics, 224. https://doi.org/10.1016/j.ijpe.2019.107555 es_ES
dc.description.references Sanislav, T., & Miclea, L. (2012). Cyber-Physical Systems - Concept, Challenges and Research Areas. CEAI, 14(02), 28-33. es_ES
dc.description.references Sha, L., Gopalakrishnan, S., Liu, X., & Wang, Q. (2008). Cyber-physical systems: A new frontier. In Proceedings - 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pp. 1-9. https://doi.org/10.1109/SUTC.2008.85 es_ES
dc.description.references Schreiber, M., Vernickel, K., Richter, C., & Reinhart, G. (2019). Integrated production and maintenance planning in cyber-physical production systems. In Procedia CIRP, 79, 534-539. Elsevier B.V. https://doi.org/10.1016/j.procir.2019.02.095 es_ES
dc.description.references Schuh, G., Anderl, R., Dumitrescu, R., Krüger, A., & Hompel, M. (2020). Industrie 4.0 maturity index. Managing the digital transformation of companies-Update 2020. acatech STUDY. es_ES
dc.description.references Stock, D., Schel, D., & Bauernhansl, T. (2019). Cyber-Physical Production System Self-Description-Based Data Access Layer. In 2019 IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, 2019-September, pp. 168-175. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ETFA.2019.8869486 es_ES
dc.description.references Stock, D., Schel, D., & Bauernhansl, T. (2020). Middleware-based cyber-physical production system modeling for operators. In Procedia Manufacturing, 42, 111-118. Elsevier B.V. https://doi.org/10.1016/j.promfg.2020.02.031 es_ES
dc.description.references Thiede, S. (2018). Environmental Sustainability of Cyber Physical Production Systems. In Procedia CIRP, 69, 644-649. Elsevier B.V. https://doi.org/10.1016/j.procir.2017.11.124 es_ES
dc.description.references Thiede, S., Juraschek, M., & Herrmann, C. (2016). Implementing Cyber-physical Production Systems in Learning Factories. In Procedia CIRP, 54, 7-12. Elsevier B.V. https://doi.org/10.1016/j.procir.2016.04.098 es_ES
dc.description.references Torres, P., Dionísio, R., Malhão, S., Neto, L., Ferreira, R., Gouveia, H., & Castro, H. (2019). Cyber-Physical Production Systems supported by Intelligent Devices (SmartBoxes) for Industrial Processes Digitalization. In 5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings, pp. 73-78. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/RTSI.2019.8895553 es_ES
dc.description.references Vergara, S.C. (2009). Métodos de coleta de dados no campo. São Paulo: Atlas. es_ES
dc.description.references Villarreal, O. (2017). Is it desirable, necessary and possible to perform research using case studies? Cuadernos de Gestion, 17(1), 147-172. https://doi.org/10.5295/cdg.140516ov es_ES
dc.description.references Villarreal, O., & Landeta, J. (2010). Case study as a scientific research methodology in business economics and strategic management. An application to internationalisation. Investig. Eur. Direccion Econ. Empres., 16(3), 31-52. https://doi.org/10.1016/S1135-2523(12)60033-1 es_ES
dc.description.references Villarreal, O., & Calvo, N. (2015). From the triple helix model to the global open innovation model: a case study based on international cooperation for innovation in Dominican Republic. Journal of Engineering and Technology Management, 35(1), 71-92. https://doi.org/10.1016/j.jengtecman.2014.10.002 es_ES
dc.description.references Voss, C., Tsikriktsis, N., & Frohlich, M. (2002). Case research in operations management. International Journal of Operations and Production Management, 22(2), 195-219. https://doi.org/10.1108/01443570210414329 es_ES
dc.description.references Yang, Lu. (2017). Industry 4.0: A survey on Technologies, application and open research. Journal of Industrial Information Integration, 6, 1-10. https://doi.org/10.1016/j.jii.2017.04.005 es_ES
dc.description.references Wang, L., Törngren, M., & Onori, M. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37, 517-527. https://doi.org/10.1016/j.jmsy.2015.04.008 es_ES
dc.description.references Wu, X., Goepp, V., & Siadat, A. (2019a). Cyber Physical Production Systems: A Review of Design and Implementation Approaches. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1588-1592. IEEE Computer Society. https://doi.org/10.1109/IEEM44572.2019.8978654 es_ES
dc.description.references Wu, X., Goepp, V., & Siadat, A. (2019b). The integrative link between cyber physical production systems and enterprise information systems. In Proceedings of 2019 International Conference on Computers and Industrial Engineering, CIE, 2019-October. Computers and Industrial Engineering. es_ES
dc.description.references Yin, R.K.(1994). Case Study Research, Design and Methods, 2nd ed. Newbury Park, Sage Publications. es_ES
dc.description.references Zhang, H., Zhang, G., & Yan, Q. (2019). Digital twin-driven cyber-physical production system towards smart shop-floor. Journal of Ambient Intelligence and Humanized Computing, 10(11), 4439-4453. https://doi.org/10.1007/s12652-018-1125-4 es_ES
dc.description.references Zhang, H., Yan, Q., & Wen, Z. (2020). Information modeling for cyber-physical production system based on digital twin and AutomationML. International Journal of Advanced Manufacturing Technology, 107(3-4), 1927-1945. https://doi.org/10.1007/s00170-020-05056-9 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem