, Enn nous souhaitons remercier chaleureusement tous les participants à l'événement aLIFE, Loire, les laboratoires du LS2N et du Lab-STICC

. Références,

W. Afzal, H. Bruneliere, D. Di-ruscio, A. Sadovykh, S. Mazzini et al., The MegaM@Rt2 ECSEL project : MegaModelling at Runtime -Scalable Model-based Framework for Continuous Development and Runtime Validation of Complex Systems, Microprocessors and Microsystems, vol.61, p.8695, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01810002

L. Bass, P. Clements, and R. Kazman, Software Architecture in Practice

, SEI Series in Software Engineering, 2012.

O. Battaïa, A. Dolgui, and N. Guschinsky, Decision support for design of recongurable rotary machining systems for family part production, International Journal of Production Research, vol.55, issue.5, p.13681385, 2017.

P. A. Borisovsky, X. Delorme, and A. Dolgui, Balancing recongurable machining lines via a set partitioning model, International Journal of Production Research, vol.52, issue.13, p.40264036, 2014.

H. Bruneliere, E. Burger, J. Cabot, and M. Wimmer, A Feature-based Survey of Model View Approaches. Software & Systems Modeling, p.122, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01891295

H. Bruneliere, F. M. De-kerchove, G. Daniel, and J. Cabot, Towards Scalable Model Views on Heterogeneous Model Resources, ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems (MODELS'18, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01845976

H. Bruneliere, J. Garcia, P. Desfray, D. E. Khelladi, R. Hebig et al., On Lightweight Metamodel Extension to Support Modeling Tools Agility, 11th European Conference on Modelling Foundations and Applications (ECMFA 2015), p.6274, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01146802

H. Bruneliere, J. G. Perez, M. Wimmer, and J. Cabot, EMF Views : A View Mechanism for Integrating Heterogeneous Models, 34th International Conference on Conceptual Modeling (ER 2015), p.317325, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01159205

R. Buyya, S. N. Srirama, G. Casale, R. Calheiros, Y. Simmhan et al.,

I. M. Rodriguez, S. D. Llorente, P. Vimercati, D. Samarati, R. Varela et al., A manifesto for future generation cloud computing : Research directions for the next decade, ACM Comput. Surv, vol.10, issue.5, 2018.

J. Cheng, W. Chen, F. Tao, and C. Lin, Industrial IoT in 5g environment towards smart manufacturing, Journal of Industrial Information Integration, vol.10, p.1019, 2018.

H. Coullon and J. Noyé, Reconsidering the Relationship between Cloud Computing and Cloud Manufacturing, SOHOMA 2017, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01591113

J. Darrous, S. Ibrahim, A. C. Zhou, and C. Pérez, Nitro : Network-aware virtual machine image management in geo-distributed clouds, p.18
URL : https://hal.archives-ouvertes.fr/hal-01745405

, IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, vol.562, p.553, 2018.

, DGSI Ministère de l'Intérieur. Ingérence économique. online, 2019.

A. J. Ferrer, J. M. Marquès, and J. Jorba, Towards the decentralised cloud : Survey on approaches and challenges for mobile, ad hoc, and edge computing, ACM Comput. Surv, vol.51, issue.6, 2019.

J. H. Gilmore, B. J. Pine, and I. I. , The Four Faces of Mass Customization, Harvard Business Review, 1997.

E. Glaessgen and D. Stargel, The Digital Twin Paradigm for Future NASA and US Air Force Vehicles, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th

, AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA, p.1818, 2012.

F. R. Golra, A Renement based methodology for software process modeling, 2014.

F. R. Golra, A. Beugnard, F. Dagnat, C. Guychard, and S. Guerin, Addressing Modularity for Heterogeneous Multi-model Systems using Model Federation, MODULARITY 2016 : 15th International Conference on Modularity, p.206211, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01298547

F. R. Golra, A. Beugnard, F. Dagnat, C. Guychard, and S. Guerin, Using free modeling as an agile method for developing domain specic modeling languages, MODELS 2016 : ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems, p.2434, 2016.

F. R. Golra, F. Dagnat, R. Bendraou, and A. Beugnard, Continuous Process Compliance Using Model Driven Engineering, MEDI 2017 : 7th International Conference on Model and Data Engineering, p.4256, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01633341

C. Guychard, S. Guerin, A. Koudri, F. Dagnat, and A. Beugnard, Conceptual interoperability through Models Federation, Semantic Information Federation Community Workshop, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00905036

B. J. Ii, B. Victor, and A. C. Boynton, Making Mass Customization Work, SeptemberOctober 1993), 1993.

A. K. Jardine, D. Lin, and D. Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, vol.20, p.14831510, 2006.

A. Koudri, C. Guychard, S. Guerin, A. Beugnard, J. Champeau et al., De la nécessité de fédérer des modèles dans une chaîne d'outils. Génie logiciel, vol.105, p.23, 2013.

A. Kumar, From mass customization to mass personalization : a strategic transformation, International Journal of Flexible Manufacturing Systems, vol.19, issue.4, p.533, 2008.

Y. Kuo and A. Kusiak, From data to big data in production research : the past and future trends, International Journal of Production Research, vol.0, issue.0, p.126, 2018.

A. Kusiak, Smart manufacturing must embrace big data, Nature News, vol.544, issue.7648, p.23, 2017.

F. Lamberti, F. Manuri, A. Sanna, G. Paravati, P. Pezzolla et al., Challenges, Opportunities, and Future Trends of Emerging Techniques for Augmented Reality-Based Maintenance, IEEE Transactions on Emerging Topics in Computing, vol.2, issue.4, p.411421, 2014.

J. Lee, B. Bagheri, and H. Kao, A cyber-physical systems architecture for industry 4.0-based manufacturing systems, Manufacturing Letters, vol.3, pp.18-23, 2015.

J. Lee, E. Lapira, B. Bagheri, and H. Kao, Recent advances and trends in predictive manufacturing systems in big data environment, Manufacturing Letters, vol.1, issue.1, p.3841, 2013.

C. Li, Y. Xue, J. Wang, W. Zhang, and T. Li, Edge-oriented computing paradigms : A survey on architecture design and system management, ACM Comput. Surv, vol.51, issue.2, 2018.

Y. Lu, X. Xu, and J. Xu, Development of a hybrid manufacturing cloud, Journal of Manufacturing Systems, vol.33, issue.4, pp.551-566, 2014.

M. G. Mehrabi, A. G. Ulsoy, and Y. Koren, Recongurable manufacturing systems : Key to future manufacturing, Journal of Intelligent manufacturing, vol.11, issue.4, p.403419, 2000.

A. Muller, A. C. Marquez, and B. Iung, On the concept of emaintenance : Review and current research, Reliability Engineering & System Safety, vol.93, issue.8, p.11651187, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00199369

D. A. Nithia, Transitioning into New Manufacturing Paradigm : To Succeed in the Customer Centric Business EnvironmentAgility, Speed and Responsiveness. The Lean Manufacturing Enterprise, 2018.

S. K. Ong, M. L. Yuan, and A. Y. Nee, Augmented reality applications in manufacturing : a survey, International Journal of Production Research, vol.46, issue.10, p.27072742, 2008.

A. Parrott and L. Warshaw, Industry 4.0 and the Digital Twin -Manufacturing Meets its Match, 2017.

Y. Peng, M. Dong, and M. J. Zuo, Current status of machine prognostics in condition-based maintenance : a review, The International Journal of Advanced Manufacturing Technology, vol.50, issue.1, p.297313, 2010.

B. Schmidt and L. Wang, Cloud-enhanced predictive maintenance, The International Journal of Advanced Manufacturing Technology, vol.99, issue.1, p.513, 2018.

W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, Edge computing : Vision and challenges, IEEE INTERNET OF THINGS JOURNAL, vol.3, issue.5, p.637646, 2016.

X. Si, W. Wang, C. Hu, and D. Zhou, Remaining useful life estimation A review on the statistical data driven approaches, European Journal of Operational Research, vol.213, issue.1, p.114, 2011.

F. Tao, Q. Qi, A. Liu, and A. Kusiak, Data-driven smart manufacturing, Journal of Manufacturing Systems, vol.48, p.157169, 2018.

F. Tao, L. Zhang, V. C. Venkatesh, Y. Luo, and Y. Cheng, Cloud manufacturing : a computing and service-oriented manufacturing model. Proceedings of the Institution of Mechanical Engineers, Part B : Journal of Engineering Manufacture, vol.225, issue.10, p.19691976, 2011.

K. Thoben, S. Wiesner, and T. Wuest, Industrie 4.0 and Smart Manufacturing A Review of Research Issues and Application Examples, Journal of Automation Technology, vol.11, issue.1, p.416, 2017.

T. H. Uhlemann, C. Lehmann, and R. Steinhilper, The Digital Twin : Realizing the Cyber-Physical Production System for Industry 4.0. Procedia Cirp, vol.61, p.335340, 2017.

K. Wang, Y. Wang, J. O. Strandhagen, and T. Yu, Advanced Manufacturing and Automation V, 2016.

X. Wang, S. K. Ong, and A. Y. Nee, A comprehensive survey of augmented reality assembly research, Advances in Manufacturing, vol.4, issue.1, p.122, 2016.

D. Wu, M. J. Greer, D. W. Rosen, and D. Schaefer, Cloud manufacturing : Strategic vision and state-of-the-art, Journal of Manufacturing Systems, vol.32, issue.4, pp.564-579, 2013.

X. Xu, From cloud computing to cloud manufacturing, Robotics and Computer-Integrated Manufacturing, vol.28, issue.1, pp.75-86, 2012.

A. Yadav and S. C. , Modelling of exible manufacturing system : a review, International Journal of Production Research, vol.56, issue.7, p.24642487, 2018.

L. Zhang, Y. Luo, F. Tao, B. H. Li, L. Ren et al., Cloud manufacturing : a new manufacturing paradigm, Enterprise Information Systems, vol.8, issue.2, p.167187, 2014.

R. Y. Zhong, X. Xu, E. Klotz, and S. T. Newman, , vol.3, p.630, 2017.

A. C. Zhou, S. Ibrahim, and B. He, On achieving ecient data transfer for graph processing in geo-distributed datacenters, 37th IEEE International Conference on Distributed Computing Systems, p.13971407, 2017.