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

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

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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

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Título: Cyber-physical production system assessment within the manufacturing industries in the Amazon
Autor: Coelho, Moises Andrade Oliveira, Franciel Andrade de Dessimoni, Lindara Hage Libório, Nicole Sales
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Industry 4.0 , Cyber-physical production system , Operations management , Strategic process , Amazon
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
International Journal of Production Management and Engineering. (eissn: 2340-4876 )
DOI: 10.4995/ijpme.2022.16130
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/ijpme.2022.16130
Tipo: Artículo

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

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

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. [+]
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

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

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.

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

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

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

Baheti, R., & Gill, H. (2011). Cyber-physical systems. The Impact of Control Technology, p. 161-166.

Bardin, L. (1977). L'Analyse de contenu. Presses Universitaires de France.

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

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

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

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.

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

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

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

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

Creswell, J.W. (2009). Research design: qualitative, quantitative, and mixed methods approaches. 3. ed. California, USA: Sage.

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

Delloite. (2015). Industry 4.0: challenges and solutions for the digital transformation and use of exponential technologies. Suíça: Delloite.

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

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

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

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

European Parliament. (2016). Industry 4.0. Bruxelas: EP.

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

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

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

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.

Gill, H. (2008). From vision to reality: cyber-physical systems. Present. HCSS Natl. Work. New Res. Dir. High Confd. Transp. CPS Automotive, Aviat. Rail.

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

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

Germany Trade & Invest. (2014). Industrie 4.0. Germany, GTAI, 2014.

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.

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

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

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

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

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

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

Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., … Schroter, M. (2015). Industrie 4.0 Readiness. Impuls-Stiftung, 0-76.

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

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

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

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

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.

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

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

Miguel, P.A.C. (Org.). (2012). Metodologia de pesquisa em engenharia de produção e gestão de operações. 2. ed. Rio de Janeiro: Elsevier: ABEPRO.

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

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

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

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

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

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

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

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

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

PricewaterhouseCoopers. (2014). Industry 4.0: opportunities and challenges of the industrial internet. Germany: PWC.

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

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

Sanislav, T., & Miclea, L. (2012). Cyber-Physical Systems - Concept, Challenges and Research Areas. CEAI, 14(02), 28-33.

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

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

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.

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

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

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

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

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

Vergara, S.C. (2009). Métodos de coleta de dados no campo. São Paulo: Atlas.

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

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

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

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

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

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

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

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.

Yin, R.K.(1994). Case Study Research, Design and Methods, 2nd ed. Newbury Park, Sage Publications.

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

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

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