Ahmad, A., & Babar, M. (2016). Software architectures for robotic systems: A systematic mapping study. The Journal of Systems and Software, 16-39. https://doi.org/10.1016/j.jss.2016.08.039
Alexopoulos, K., Sipsas, K., Xanthakis, E., Makris, S., & Mourtzis, D. (2018). An industrial Internet of things based platform for context-aware information services in manufacturing. International Journal of Computer Integrated Manufacturing, 1-14. https://doi.org/10.1080/0951192X.2018.1500716
Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management, 16-21. https://doi.org/10.24840/2183-0606_003.004_0003
[+]
Ahmad, A., & Babar, M. (2016). Software architectures for robotic systems: A systematic mapping study. The Journal of Systems and Software, 16-39. https://doi.org/10.1016/j.jss.2016.08.039
Alexopoulos, K., Sipsas, K., Xanthakis, E., Makris, S., & Mourtzis, D. (2018). An industrial Internet of things based platform for context-aware information services in manufacturing. International Journal of Computer Integrated Manufacturing, 1-14. https://doi.org/10.1080/0951192X.2018.1500716
Almada-Lobo, F. (2015). The Industry 4.0 revolution and the future of Manufacturing Execution Systems (MES). Journal of Innovation Management, 16-21. https://doi.org/10.24840/2183-0606_003.004_0003
Angulo, P., Guzmán, C., Jiménez, G., & Romero, D. (2016). A service-oriented architecture and its ICT infrastructure to support eco-efficiency performance monitoring in manufacturing enterprises. International Journal of Computer Integrated Manufacturing, 202-214. https://doi.org/10.1080/0951192X.2016.1145810
Babiceanua, R., & Seker, R. (2016). Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and future outlook. Computers in Industry, 128-137. https://doi.org/10.1016/j.compind.2016.02.004
Bagheri, B., Yang, S., Kao, H.-A., & Lee, J. (2015). Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment. IFAC- PapersOnLine, 1622 - 1627. https://doi.org/10.1016/j.ifacol.2015.06.318
Beysolow II, T. (2017). Introduction to Deep Learning Using R. San Francisco, California, USA: Apress. https://doi.org/10.1007/978-1-4842-2734-3
Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels - case of the defence sector. Production Planning & Control, 1-15. https://doi.org/10.1080/09537287.2018.1503355
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Information and Communication Engineering, 1-8.
Caggiano, A. (2018). Cloud-based manufacturing process monitoring for smart diagnosis services. International Journal of Computer Integrated Manufacturing, 31(7), 612-623. https://doi.org/10.1080/0951192X.2018.1425552
Cervantes Maceda, H., Velasco-Elizondo, P., & Castro Careaga, L. (2016). Arquitectura de Software. Conceptos y ciclo de desarrollo. Ciudad de México, México: CENGAGE Learning.
Charro, A., & Schaefer, D. (2018). Cloud Manufacturing as a new type of Product- Service System. International Journal of Computer Integrated Manufacturing, 1018-1033. https://doi.org/10.1080/0951192X.2018.1493228
Chen, T., & Tsai, H.-R. (2016). Ubiquitous manufacturing: Current practices, challenges, and opportunities. Robotics and Computer-Integrated Manufacturing, 1-7. https://doi.org/10.1016/j.rcim.2016.01.001
Chen, X.-W., & Lin, X. (2014). Big Data Deep Learning: Challenges and Perspectives. IEEE Xplore, 514 - 525. https://doi.org/10.1109/ACCESS.2014.2325029
Chen, Y. (2017). Integrated and Intelligent Manufacturing: Perspectives and Enablers. Engineering, 588-595. https://doi.org/10.1016/J.ENG.2017.04.009
Chiu, Y.-C., Cheng, F.-T., & Huang, H.-C. (2017). Developing a factory-wide intelligent predictive maintenance system based on Industry 4.0. Journal of the Chinese Institute of Engineers, 1-11. https://doi.org/10.1080/02533839.2017.1362357
Ciffolilli, A., & Muscio, A. (2018). Industry 4.0: national and regional comparative advantages in key enabling technologies. European Planning Studies, 1-22. https://doi.org/10.1080/09654313.2018.1529145
Clusterplattform Deutschland . (2019). Clusterplattform Deutschland. Obtenido de Clusterplattform Deutschland: https://www.clusterplattform.de/CLUSTER/Navigation/DE/Home/home.html
Cobo, M., Jürgens, B., Herrero-Solana, V., Herrera-Viedma, E., & Martínez, M. (2018). Industry 4.0: a perspective based on bibliometric analysis. Procedia Computer Science, 364-371. https://doi.org/10.1016/j.procs.2018.10.278
Crawford, M., & ASME.org. (01 de Julio de 2018). How Industry 4.0 Impacts Engineering Design. Obtenido de ASME: https://www.asme.org/engineering- topics/articles/manufacturing-design/industry-40-impacts-engineering-design
definicionde.org. (27 de Diciembre de 2016). Definición de ubicuo - Que es según la RAE? Obtenido de Definición de las palabras: http://definicionde.org/ubicuo/
Delaram, J., & Valilai, O. (2016). Development of a Novel Solution to Enable Integration and Interoperability for Cloud Manufacturing. Procedia CIRP, 6-11. https://doi.org/10.1016/j.procir.2016.07.056
Delicato, F., Al-Anbuky, A., & Wang, K.-K. (2019). Editorial: Smart Cyber-Physical Systems: Toward Pervasive Intelligence systems. Future Generation Computer Systems, 1-6. https://doi.org/10.1016/j.future.2019.06.031
Deloitte. (05 de 10 de 2018). ¿Qué es la Industria 4.0? Obtenido de Deloite.: https://www2.deloitte.com/es/es/pages/manufacturing/articles/que-es-la- industria-4.0.html
Dilberoglua, U., Bahar, G., Yaman, U., & Dolen, M. (2017). The role of additive manufacturing in the era of Industry 4.0. International Conference on Flexible Automation and Intelligent Manufacturing (págs. 1-10). Italia: Procedia Manufacturing. https://doi.org/10.1016/j.promfg.2017.07.148
European Secretariat for Cluster Analysis. (2017). Quality audit: Gold Label of the European Cluster Excellence Initiative (ECEI). Obtenido de ESCA: https://www.cluster-analysis.org/gold-label-new
Evans, P., & Annunziata, M. (26 de Noviembre de 2012). Industrial Internet: Pushing the Boundaries of Minds and Machines. Obtenido de GE: https://www.ge.com/docs/chapters/Industrial_Internet.pdf
Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning & Control, 633-644. https://doi.org/10.1080/09537287.2018.1424960
Federal Minister of Education and Research. (2013). Deutschlands Spitzencluster Germany's Leading-Edge Clusters. Obtenido de Federal Ministry of Education and Research (BMBF): https://www.hamburg.de/contentblob/2593364/3113df3e6f569c97b937bd8747 5564db/data/deutschlands-spitzencluster.pdf
Ferreira,, J., Sarraipa, J., Ferro-Beca, M., Agostinho, C., Costa, R., & Jardim-Goncalves, R. (2016). End-to-end manufacturing in factories of the future. International Journal of Computer Integrated Manufacturing, 1-14. https://doi.org/10.1080/0951192X.2016.1185155
Fettermann, D., Cavalcante, C., Domingues de Almeida, T., & Tortorella, G. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, 1-15. https://doi.org/10.1080/21681015.2018.1462863
Francalanza, E., Borg, J., & Constantinescu, C. (2018). Approaches for handling wicked manufacturing system design problems. Procedia CIRP, 67, 134-139. https://doi.org/10.1016/j.procir.2017.12.189
García, M., Irisarri, E., Pérez, F., Estévez, E., & Marcos, M. (2017). Arquitectura de Automatización basada en Sistemas Ciberfísicos para la Fabricación Flexible en la Industria de Petróleo y Gas. Revista Iberoamericana de Automática e Informática Industrial, 1-11. https://doi.org/10.4995/riai.2017.8823
Germany Trade & Invest (GTAI). (1 de Julio de 2014). Industrie 4.0 Smart Manufacturing for the future. Obtenido de Germany Trade & Invest (GTAI): https://www.gtai.de/GTAI/Content/CN/Invest/_SharedDocs/Downloads/GTAI/ Brochures/Industries/industrie4.0-smart-manufacturing-for-the-future-en.pdf
Ghobakhloo, M. (2019). Determinants of information and digital technology implementation for smart manufacturing. International Journal of Production Research, 1-23. https://doi.org/10.1080/00207543.2019.1630775
Götz, M., & Jankowska, B. (2017). Clusters and Industry 4.0 - do they fit together? European Planning Studies, 1633-1653. https://doi.org/10.1080/09654313.2017.1327037
Gregor, S. (2002). A Theory of Theories in Information Systems. Information Systems Foundations. Building the Theoretical, 1 - 20.
Gregor, S. (2009). Building Theory in the Sciences of the Artificial. Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology (págs. 1- 10). Philadelphia, Pennsylvania, USA: ACM Digital Library. https://doi.org/10.1145/1555619.1555625
Henzel, R., & Herzwurm, G. (2018). Cloud Manufacturing: A state-of-the-art survey of current issues. CIRP, 947-952. https://doi.org/10.1016/j.procir.2018.03.055
Hermann, M., Otto, B., & Pentek, T. (2015). Design Principles for Industrie 4.0 Scenarios: A Literature Review. ResearchGate, 1-16. https://doi.org/10.13140/RG.2.2.29269.22248
Hernández A., A., Figueroa F., V., & Jiménez G., J. (2018). Propuesta de una metodología de diagnóstico para identificar los requerimientos tecnológicos de una empresa tradicional de manufactura para evolucionar a Industria 4.0. Celaya, Guanajuato, México: Tecnológico Nacional de México en Celaya.
Huang, S., & Yan, Y. (2019). Design of delayed reconfigurable manufacturing system based on part family grouping and machine selection. International Journal of Production Research, 1-19. https://doi.org/10.1080/00207543.2019.1654631
Ibarra, D., Ganzarain, J., & Igartua, J. (2017). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 4-10. https://doi.org/10.1016/j.promfg.2018.03.002
Jardim-Goncalves, R., Romero, D., & Grilo, A. (2017). Factories of the future: challenges and leading innovations in intelligent manufacturing. International Journal of Computer Integrated Manufacturing, 30, 4-14.
Jazdi, N. (17 de Jolio de 2014). Cyber Physical Systems in the Context of Industry 4.0. IEEE International Conference on Automation, Quality and Testing, Robotics. (págs. 1-3). Cluj-Napoca, Romania: IEEE. https://doi.org/10.1109/AQTR.2014.6857843
Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group. National Academy of Science and Engineering (acatech)., 1-82.
Kamble, S., Gunasekaran, A., & Gawankar, S. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 408-425. https://doi.org/10.1016/j.psep.2018.05.009
Khan, K., Kunz, R., Kleijnen, J., & Antes, G. (2003). Five steps to conducting a systematic review. Journal of the royal society of medicine, 118-121. https://doi.org/10.1177/014107680309600304
Kipper, L., Furstenau, L., Hoppe, D., Frozza, R., & Iespen, S. (2019). Scopus scientific mapping production in industry 4.0 (2011-2018): a bibliometric analysis. International Journal of Production Research, 1-24. doi:https://doi.org/10.1080/00207543.2019.1671625
Klingenberg, C. (2017). Industry 4.0: what makes it a revolution? EurOMA (págs. 1-11). ResearchGate.
Kusiak, A. (2017). Smart manufacturing. International Journal of Production Research, 508-517. https://doi.org/10.1080/00207543.2017.1351644
Laudante, E. (2017). Industry 4.0, Innovation and Design. A new approach for ergonomic analysis in manufacturing system. An International Journal for All Aspects of Design, 1-12. https://doi.org/10.1080/14606925.2017.1352784
Lee, J., Ardakani, H., Yang, S., & Bagheri, B. (2015). Industrial big data analytics and cyber-physical systems for future maintenance & service innovation. Procedia CIRP, 3-7. https://doi.org/10.1016/j.procir.2015.08.026
Lee, J., Bagheri, B., & Kao, H.-A. (2014). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Society of Manufacturing Engineers (SME), 18- 23. https://doi.org/10.1016/j.mfglet.2014.12.001
Lee, J., Kao, H.-A., & Yang, S. (2014). Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment. Procedia CIRP, 16, 3-8. https://doi.org/10.1016/j.procir.2014.02.001
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 1-10. https://doi.org/10.1016/j.jii.2017.04.005
Luque, A., Peralta, E., De las Heras, A., & Córdoba, A. (2017). State of Industry 4.0 in the Andalusian food sector. Procedia Manufacturing, 1199-1205. https://doi.org/10.1016/j.promfg.2017.09.195
Macchi, D., & Solari, M. (2012). Mapeo sistemático de la literatura sobre la Adopción de Inspecciones de Software. Universidad ORT de Uruguay, 1 - 8.
MIT Technology Review. (31 de Octubre de 2018). "Digital twin", un gemelo virtual para aconsejar a la Industria 4.0. Obtenido de MIT Technology Review: https://www.technologyreview.es/s/10696/digital-twin-un-gemelo-virtual-para- aconsejar-la-industria-40
Moghaddam, S., Houshmand, M., Saitou, K., & Valilai, O. (2019). Configuration design of scalable reconfigurable manufacturing systems for part family. International Journal of Production Research, 1-24. https://doi.org/10.1080/00207543.2019.1620365
Moktadir, M., Ali, S., Kusi-Sarpong, S., & Ali Shaikh, M. (2018). Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. Process Safety and Environmental Protection, 730- 741. https://doi.org/10.1016/j.psep.2018.04.020
Muhuri, P., Shukla, A., & Abraham, A. (2019). Industry 4.0: A bibliometric analysis and detailed overview. Engineering Applications of Artificial Intelligence, 218- 235. https://doi.org/10.1016/j.engappai.2018.11.007
Nassehi, A., Schaefer, D., Wu, D., Xu, X., & Zaeh, M. (2018). Special issue on 'Cyber-physical product creation for Industry 4.0'. International Journal of Computer Integrated Manufacturing, 611-611. https://doi.org/10.1080/0951192X.2018.1482106
Netzwerk Smart Production. (01 de Enero de 2019). Smart Production. Obtenido de Netzwerk Smart Production: https://www.smartproduction.de/
Neugebauer, R., Hippmann, S., Leis, M., & Landherr, M. (2016). Industrie 4.0 - From the Perspective of Applied Research. Procedia CIRP, 57, 2-7. https://doi.org/10.1016/j.procir.2016.11.002
NIST. (16 de Abril de 2018). Framework for Improving Critical Infrastructure Cybersecurity. Obtenido de National Institute of Standards and Technology: https://nvlpubs.nist.gov/nistpubs/CSWP/NIST.CSWP.04162018.pdf
Nodehi, T., Jardim-Goncalves, R., Zutshi, A., & Grilo, A. (2015). ICIF: an intercloud interoperability framework for computing resource cloud providers in factories of the future. International Journal of Computer Integrated Manufacturing, 1-12. https://doi.org/10.1080/0951192X.2015.1067921
Nunes, M., Pereira, A., & Alves, A. (2017). Smart products development approches for Industry 4.0. Manufacturing Engineering Society International Conference (págs. 1215-1222). Vigo, España: Procedia Manufacturing. https://doi.org/10.1016/j.promfg.2017.09.035
Oesterreich, T., & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, 121-139. https://doi.org/10.1016/j.compind.2016.09.006
Packianathera, M., Davies, A., Harraden, S., Soman, S., & White, J. (2017). Data mining techniques applied to a manufacturing SME. Data mining techniques applied to a manufacturing SME, 123 - 128. https://doi.org/10.1016/j.procir.2016.06.120
Pereira, A., & Romero, F. (2017). A review of the meaning and the implications of the Industry 4.0 concept. En P. Manufacturing (Ed.), Manufacturing Engineering Society International Conference (págs. 1206-1214). Vigo, España: Elsevier. https://doi.org/10.1016/j.promfg.2017.09.032
Pereira, T., Barreto, L., & Amaral, A. (2017). Network and information security challenges within Industry 4.0 paradigm. Procedia Manufacturing, 1253-1260. https://doi.org/10.1016/j.promfg.2017.09.047
Piedrahita, A., & Vélez Ángel, P. (2017). Control de calidad en sistemas crowdsourcing: un mapeo sistemático. Scientia et Technica, 1 - 10. https://doi.org/10.22517/23447214.13541
Plattform Industrie 4.0. (2019). Plattform Industrie 4.0. Obtenido de Plattform Industrie 4.0: https://www.plattform- i40.de/PI40/Navigation/EN/ThePlatform/Background/background.html
Porter, M. (2000). Location, Competition, and Economic Development: Local Clusters in a Global Economy. Economic Development Quarterly, 15-34. https://doi.org/10.1177/089124240001400105
PWC. (01 de 01 de 2016). Industry 4.0: Building the Digital Enterprise. Obtenido de PWC: https://www.pwc.com/gx/en/industries/industries-4.0/landing- page/industry-4.0-building-your-digital-enterprise-april-2016.pdf
Qin, J., Liu, Y., & Grosvenor, R. (2016). A Categorical Framework of Manufacturing for Industry 4.0 and Beyond. Procedia CIRP, 173-178. https://doi.org/10.1016/j.procir.2016.08.005
Quintana, G., & Solari, M. (2012). Estudio de Mapeo Sistemático sobre Experimentos de Generación Automática de Casos de Prueba Estructurales. Universidad ORT de Uruguay, 1-10.
Radziwon, A., Bilberg, A., Bogers, M., & Madsen, E. (2014). The Smart Factory: Exploring Adaptive and Flexible Manufacturing Solutions. Procedia Engineering, 1184 - 1190. https://doi.org/10.1016/j.proeng.2014.03.108
Roblek, V., Meško, M., & Krapež, A. (2016). A Complex View of Industry 4.0. SAGE, 1-11. https://doi.org/10.1177/2158244016653987
Rojko, A. (2017). Industry 4.0 Concept: Background and Overview. International Journal of Innovation Management, 1-14. https://doi.org/10.3991/ijim.v11i5.7072
Román-Ibáñez, V., Jimeno-Morenilla, A., & Pujol-López, F. (2018). Distributed monitoring of heterogeneous robotic cells. A proposal for the footwear industry 4.0. International Journal of Computer Integrated Manufacturing, 1-16. https://doi.org/10.1080/0951192X.2018.1529432
Rosin, F., Forget, P., Lamouri, S., & Pellerin, R. (2019). Impacts of Industry 4.0 technologies on Lean principles. International Journal of Production Research, 1-19. https://doi.org/10.1080/00207543.2019.1672902
Rossit, D., Tohmé, F., & Frutos, M. (2018). Industry 4.0: Smart Scheduling. International Journal of Production Research. https://doi.org/10.1080/00207543.2018.1504248
Russo, J., & Solari, M. (2017). Estudio de Mapeo Sistemático sobre Arquitecturas de Software para Big Data. Conferencia Iberoamericana en Software Engineering (págs. 1 - 14). Buenos Aires, Argentina: ResearchGate.
Schmidt, R., Möhring, M., Härting, R.-C., Reichstein, C., Neumaier, P., & Jozinović, P. (2015). Industry 4.0 - Potentials for Creating Smart Products: Empirical Research Results. Business Information Systems, 16-27. https://doi.org/10.1007/978-3-319-19027-3_2
Schuh, G., Potente, T., Wesch-Potente, C., Weber, A., & Prote, J.-P. (2014). Collaboration Mechanisms to increase Productivity in the Context of Industrie 4.0. Procedia CIRP, 51 - 56. https://doi.org/10.1016/j.procir.2014.05.016
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 161 - 166. https://doi.org/10.1016/j.procir.2016.07.040
Shafiq, S., Sanin, C., Toro, C., & Szczerbicki, E. (2015). Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0. Cybernetics and Systems: An International Journal, 1-17. https://doi.org/10.1080/01969722.2015.1007734
Shariatzadeh, N., Lundholm, T., Lindberg, L., & Sivard, G. (2016). Integration of digital factory with smart factory based on Internet of Things. Procedia CIRP, 512 - 517. https://doi.org/10.1016/j.procir.2016.05.050
Shin, W., Dahlgaard, J., Dahlgaard-Park, S., & Kim, M. (2018). A Quality Scorecard for the era of Industry 4.0. Total Quality Management & Business Excellence, 1-19. https://doi.org/10.1080/14783363.2018.1486536
Siemens. (05 de 10 de 2018). Siemens España | El Futuro de la Industria 4.0. Obtenido de Siemens: https://w5.siemens.com/spain/web/es/el-futuro-de-la- industria/pages/el_futuro_de_la_industria.aspx
Škulj, G., Vrabič, R., Butala, P., & Sluga, A. (2015). Decentralised network architecture for cloud manufacturing. International Journal of Computer Integrated Manufacturing, 1-15. https://doi.org/10.1080/0951192X.2015.1066861
Sony, M. (2018). Industry 4.0 and lean management: a proposed integration model and research propositions. Production & Manufacturing Research, 416-432. https://doi.org/10.1080/21693277.2018.1540949
Talhi, A., Huet, J., Fortineau, V., & Lamouri, S. (2015). Towards a Cloud Manufacturing systems modeling methodology. IFAC, 288-293. https://doi.org/10.1016/j.ifacol.2015.06.096
Tamas, L., & Murar, M. (2018). Smart CPS: vertical integration overview and user story with a cobot. International Journal of Computer Integrated Manufacturing, 1-19. https://doi.org/10.1080/0951192X.2018.1535196
Telukdarie, A., Buhulaiga, E., Bag, S., Gupta, S., & Luo, Z. (2018). Industry 4.0 implementation for multinationals. Process Safety and Environmental Protection, 316-329. https://doi.org/10.1016/j.psep.2018.06.030
Theorin, A., Bengtsson, K., Provost, J., Lieder, M., Johnsson, C., Lundholm, T., & Lennartson, B. (2016). An event-driven manufacturing information system architecture for Industry 4.0. International Journal of Production Research, 1- 16. https://doi.org/10.1080/00207543.2016.1201604
Thilmany, J., & ASME.org. (17 de Mayo de 2018). Artificial Intelligence Transforms Manufacturing. Obtenido de ASME: https://www.asme.org/engineering-topics/articles/manufacturing-design/artificial-intelligence-transforms-manufacturing
Tian, W., & Zhao, Y. (2015). Optimized Cloud Resource Management and Scheduling. Morgan Kaufmann. https://doi.org/10.1016/C2013-0-13415-0
Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does Industry 4.0 mean to Supply Chain? Procedia Manufacturing, 1175-1182. https://doi.org/10.1016/j.promfg.2017.09.191
Tortorella, G., & Fettermann, D. (2017). Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. International Journal of Production Research, 1-14. https://doi.org//10.1080/00207543.2017.1391420
Tuptuk, N., & Hailes, S. (2018). Security of smart manufacturing systems. Journal of Manufacturing Systems, 93-106. https://doi.org/10.1016/j.jmsy.2018.04.007
Vaidya, Ambad, P., & Bhosle, S. (2018). Industry 4.0 - A Glimpse. Procedia Manufacturing, 20, 233-238. https://doi.org/10.1016/j.promfg.2018.02.034
Wang, B., & Ha-Brookshire, J. (2018). Exploration of Digital Competency Requirements within the Fashion Supply Chain with an Anticipation of Industry 4.0. International Journal of Fashion Design, Technology and Education, 1-11. https://doi.org/10.1080/17543266.2018.1448459
Wang, X., Givehchi, M., & Wang, L. (2017). Manufacturing system on the cloud: a case study on cloud-based process planning. Procedia CIRP, 39 - 45. https://doi.org/10.1016/j.procir.2017.03.103
Wang, X., Ong, S., & Nee, A. (2017). A comprehensive survey of ubiquitous manufacturing research. International Journal of Production Research, 604-628. https://doi.org/10.1080/00207543.2017.1413259
Weyer, S., Schmitt, M., Ohmer, M., & Gorecky, D. (2015). Towards Industry 4.0 - Standardization as the crucial challenge for highly modular, multi-vendor production systems. IFAC-PapersOnLine, 48(3), 579-584. https://doi.org/10.1016/j.ifacol.2015.06.143
Wiesner, S., & Thoben, K.-D. (2016). Requirements for models, methods and tools supporting servitisation of products in manufacturing service ecosystems. International Journal of Computer Integrated Manufacturing, 1-12. https://doi.org/10.1080/0951192X.2015.1130243
WordReference.com. (2005). ubicuo - definición - WordReference.com. Obtenido de WordReference.com: https://www.wordreference.com/definicion/ubicuo
Wu, D., Jennings, C., Terpenny, J., Gao, R., & Kumara, S. (2017). A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests. Journal of Manufacturing Science and Engineering, 1-10. https://doi.org/10.1115/1.4036350
Wuest, T., Daniel, W., Irgens, C., & Thoben, K.-D. (2016). Machine learning in manufacturing: advantages, challenges, and applications. Production & Manufacturing Research, 23-45. https://doi.org/10.1080/21693277.2016.1192517
Xu, L. D., & Duan, L. (2018). Big data for cyber physical systems in industry 4.0: a survey. Enterprise Information Systems, 1-23. https://doi.org/10.1080/17517575.2018.1442934
Xu, L., Xu, E., & Li, L. (2018). Industry 4.0: state of the art and future trends. International Journal of Production Research, 56, 2941-2962. https://doi.org/10.1080/00207543.2018.1444806
Zhong, R., Xu, X., Klotz, E., & Newman, S. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 616-630. https://doi.org/10.1016/J.ENG.2017.05.015
Zhonga, R., Wang, L., & Xu, X. (2017). An IoT-enabled Real-time Machine Status Monitoring Approach for Cloud Manufacturing. Procedia CIRP, 709 - 714. https://doi.org/10.1016/j.procir.2017.03.349
Zhou, K., Liu, T., & Zhou, L. (2016). Industry 4.0: Towards Future Industrial Opportunities and Challenges. International Conference on Fuzzy Systems and Knowledge Discovery (págs. 2147-2152). Zhangjiajie, China: IEEE. https://doi.org/10.1109/FSKD.2015.7382284
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