P. S. Alencar and C. J. De-lucena, A logical framework for evolving software systems, Formal Aspects of Computing, vol.13, issue.3, pp.3-46, 1996.
DOI : 10.1016/0004-3702(80)90014-4

R. Alur, Principles of cyber-physical systems, 2015.

K. J. Aström, P. Albertos, M. Blanke, A. Isidori, W. Schaufelberger et al., Control of complex systems, 2001.

L. Atzori, A. Iera, and G. Morabito, The Internet of Things: A survey, Computer Networks, vol.54, issue.15, pp.2787-2805, 2010.
DOI : 10.1016/j.comnet.2010.05.010

O. Badran, S. Mekhilef, H. Mokhlis, and W. Dahalan, Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies, Renewable and Sustainable Energy Reviews, vol.73, pp.73854-867, 2017.
DOI : 10.1016/j.rser.2017.02.010

A. D. Baker, A survey of factory control algorithms that can be implemented in a multi-agent heterarchy: Dispatching, scheduling, and pull, Journal of Manufacturing Systems, vol.17, issue.4, p.297, 1998.
DOI : 10.1016/S0278-6125(98)80077-0

R. Banos, F. Manzano-agugliaro, F. G. Montoya, C. Gil, A. Alcayde et al., Optimization methods applied to renewable and sustainable energy: A review, Renewable and Sustainable Energy Reviews, vol.15, issue.4, pp.1753-1766, 2011.
DOI : 10.1016/j.rser.2010.12.008

J. Barbosa, P. Leitão, E. Adam, and D. Trentesaux, Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution, Computers in Industry, vol.66, pp.99-111, 2015.
DOI : 10.1016/j.compind.2014.10.011

J. Barbosa, P. Leitão, E. Adam, and D. Trentesaux, Nervousness in Dynamic Selforganized Holonic Multi-agent Systems, Highlights on Practical Applications of Agents and Multi-Agent Systems, pp.9-17, 2012.
DOI : 10.1007/978-3-642-28762-6_2

J. Barbosa, P. Leitão, and A. I. Pereira, Combining adaptation and optimization in bioinspired multi-agent manufacturing systems, Industrial Electronics (ISIE), 2011 IEEE International Symposium on, pp.1773-1778, 2011.
DOI : 10.1109/isie.2011.5984425

I. Batchkova, G. Popov, H. Karamishev, and G. Stambolov, Dynamic reconfigurability of control systems using IEC 61499 standard, IFAC Proceedings Volumes, pp.46256-261, 2013.
DOI : 10.3182/20130606-3-XK-4037.00050

A. Baykaso?lu and L. Özbak?r, Analysing the effect of flexibility on manufacturing systems performance, Journal of Manufacturing Technology Management, vol.19, issue.2, pp.172-193, 2008.
DOI : 10.1016/0278-6125(88)90005-2

D. S. Bedford and T. Malmi, Configurations of control: An exploratory analysis, Management Accounting Research, vol.27, pp.2-26, 2015.
DOI : 10.1016/j.mar.2015.04.002

A. Bekkar, O. Guemri, A. Bekrar, N. Aissani, B. Beldjilali et al., An Iterative Greedy Insertion Technique for Flexible Job Shop Scheduling Problem, IFAC-PapersOnLine, vol.49, issue.12, pp.1956-1961, 2016.
DOI : 10.1016/j.ifacol.2016.07.917

L. S. Belisario and H. Pierreval, A conceptual framework for analyzing adaptable and reconfigurable manufacturing systems, Proceedings of the 5th International Conference on Industrial Engineering and Systems Management (IESM'13), pp.644-650, 2013.

C. Bernon, M. P. Gleizes, and G. Picard, Enhancing Self-organising Emergent Systems Design with Simulation, International Workshop on Engineering Societies in the Agents World, pp.284-299, 2007.
DOI : 10.1007/978-3-540-75524-1_16

URL : https://hal.archives-ouvertes.fr/hal-01205872

C. Blum and A. Roli, Metaheuristics in combinatorial optimization, ACM Computing Surveys, vol.35, issue.3, pp.268-308, 2003.
DOI : 10.1145/937503.937505

URL : https://hal.archives-ouvertes.fr/hal-01224683

K. Bondalapati and V. K. Prasanna, Reconfigurable computing systems, Proceedings of the IEEE, vol.90, issue.7, pp.1201-1217, 2002.
DOI : 10.1109/JPROC.2002.801446

URL : http://lotus1000.usc.edu/prasanna/newpage/pubs/papers/kiranprocieee.ps

T. Borangiu, S. Raileanu, D. Trentesaux, T. Berger, and I. Iacob, Distributed manufacturing control with extended CNP interaction of intelligent products, Journal of Intelligent Manufacturing, vol.37, issue.3, pp.1065-1075, 2013.
DOI : 10.1109/ICSMC.2002.1173319

S. K. Bordoloi, W. W. Cooper, and H. Matsuo, FLEXIBILITY, ADAPTABILITY, AND EFFICIENCY IN MANUFACTURING SYSTEMS, Production and Operations Management, vol.12, issue.2, pp.133-150, 2009.
DOI : 10.1016/B978-0-12-370450-4.50023-6

V. Botti and A. Giret, ANEMONA: A multi-agent methodology for Holonic Manufacturing Systems, 2008.

W. Bouazza, Y. Sallez, N. Aissani, and B. Beldjilali, A Model for Manufacturing Scheduling Optimization through Learning Intelligent Products (eds) Service Orientation in Holonic and Multi-agent Manufacturing, Studies in Computational Intelligence, vol.594, pp.233-241, 2015.

M. Brambilla, E. Ferrante, M. Birattari, and M. Dorigo, Swarm robotics: a review from the swarm engineering perspective, Swarm Intelligence, vol.2, issue.2???4, pp.1-41, 2013.
DOI : 10.1007/s11721-008-0018-0

URL : https://hal.archives-ouvertes.fr/hal-01405919

M. A. Brdys, M. Grochowski, T. Gminski, K. Konarczak, and M. Drewa, Hierarchical predictive control of integrated wastewater treatment systems, Control Engineering Practice, vol.16, issue.6, pp.751-767, 2008.
DOI : 10.1016/j.conengprac.2007.01.008

R. W. Brennan, Distributed Intelligent Sensing and Control for Manufacturing Automation. Distributed Control Applications: Guidelines, Design Patterns, and Application Examples with the IEC 61499, p.317, 2016.
DOI : 10.1201/b19391-19

R. W. Brennan and D. H. Norrie, Agents, holons and function blocks: distributed intelligent control in manufacturing, Journal of Applied Systems Studies, vol.2, issue.1, pp.1-19, 2001.

R. W. Brennan, X. Zhang, Y. Xu, and D. H. Norrie, A reconfigurable concurrent function block model and its implementation in real-time Java, Integrated Computer-Aided Engineering, vol.9, issue.3, pp.263-279, 2002.

R. W. Brennan, P. Vrba, P. Tichy, A. Zoitl, C. Sünder et al., Developments in dynamic and intelligent reconfiguration of industrial automation-547. real-time distributed control systems, Computers in Industry IEEE transactions on Robotics and Automation, vol.59, issue.184, pp.533444-451, 2008.

G. I. Broman and K. H. Robèrt, A framework for strategic sustainable development, Journal of Cleaner Production, vol.140, pp.17-31, 2017.
DOI : 10.1016/j.jclepro.2015.10.121

J. Browne, D. Dubois, K. Rathmill, S. P. Sethi, and K. E. Stecke, Classification of flexible manufacturing systems. The FMS magazine, pp.114-117, 1984.

A. Brusaferri, A. Ballarino, F. A. Cavadini, D. Manzocchi, and M. Mazzolini, CPS-based hierarchical and self-similar automation architecture for the control and verification of reconfigurable manufacturing systems, Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), pp.2014-2015, 2014.
DOI : 10.1109/ETFA.2014.7005194

O. Cardin, D. Trentesaux, A. Thomas, P. Castagna, T. Berger et al., Coupling predictive scheduling and reactive control in manufacturing hybrid control architectures: state of the art and future challenges, Journal of Intelligent Manufacturing, vol.37, issue.2, pp.28-1503, 2015.
DOI : 10.1016/j.arcontrol.2013.09.009

URL : https://hal.archives-ouvertes.fr/hal-01182909

O. Cardin and P. Castagna, Using online simulation in Holonic manufacturing systems, Engineering Applications of Artificial Intelligence, vol.22, issue.7, pp.1025-1033, 2009.
DOI : 10.1016/j.engappai.2009.01.006

URL : https://hal.archives-ouvertes.fr/hal-00620880

T. Chaari, S. Chaabane, N. Aissani, and D. Trentesaux, Scheduling under uncertainty: Survey and research directions, 2014 International Conference on Advanced Logistics and Transport (ICALT), pp.229-234, 2014.
DOI : 10.1109/ICAdLT.2014.6866316

G. Chryssolouris, K. Efthymiou, N. Papakostas, D. Mourtzis, and A. Pagoropoulos, Flexibility and complexity: is it a trade-off?, International Journal of Production Research, vol.5, issue.2, pp.23-246788, 2013.
DOI : 10.1016/0167-2789(85)90011-9

Y. Chu, F. You, and J. M. Wassick, Hybrid method integrating agent-based modeling and heuristic tree search for scheduling of complex batch processes, Computers & Chemical Engineering, vol.60, pp.277-296, 2014.
DOI : 10.1016/j.compchemeng.2013.09.004

Z. Chunjie, X. Chunjie, C. Hui, and F. Huajing, Genetic algorithm-based dynamic reconfiguration for networked control system, Neural computing and applications, pp.153-160, 2007.
DOI : 10.1007/s00521-007-0096-8

D. Cimino, A. Ferrero, L. Queirolo, F. Bellotti, R. Berta et al., A Low-Cost, Open-Source Cyber Physical System for Automated, Remotely Controlled Precision Agriculture, International Conference on Applications in Electronics Pervading Industry, pp.191-203, 2017.
DOI : 10.5897/AJB10.2447

D. Silva, R. M. Junqueira, F. , S. Filho, D. J. Miyagi et al., Control architecture and design method of reconfigurable manufacturing systems, Control Engineering Practice, vol.49, pp.87-100, 2016.
DOI : 10.1016/j.conengprac.2016.01.009

D. Silva, R. M. Blos, M. F. Junqueira, F. , S. Filho et al., Control architecture for reconfigurable and distributed manufacturing system, Proceedings of ABCM Symposium Series in Mechatronics, pp.219-2301587, 2014.

J. Debenham and A. Prodan, The ???Two-Hop Principle???: Stability of MAS in Communications Networks, International Conference on Industrial Applications of Holonic and Multi-Agent Systems, pp.281-292, 2013.
DOI : 10.1007/978-3-642-40090-2_25

G. Demesure, M. Defoort, A. Bekrar, D. Trentesaux, and M. Djemaï, Navigation Scheme with Priority-Based Scheduling of Mobile Agents: Application to AGV-Based Flexible Manufacturing System, Journal of Intelligent & Robotic Systems, vol.17, issue.5, pp.3-4, 2016.
DOI : 10.1109/TMECH.2011.2142319

Y. Demir and S. K. ??leyen, Evaluation of mathematical models for flexible job-shop scheduling problems, Applied Mathematical Modelling, vol.37, issue.3, pp.977-988, 2013.
DOI : 10.1016/j.apm.2012.03.020

S. Detzler, C. Eichhorn, and S. Karnouskos, Charging optimization of enterprise electric vehicles for participation in demand response, 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), pp.284-289, 2015.
DOI : 10.1109/SEDST.2015.7315222

J. Dias-ferreira, L. Ribeiro, H. Akillioglu, P. Neves, and M. Onori, BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors, Journal of Intelligent Manufacturing, vol.8, issue.2, pp.1-24, 2016.
DOI : 10.1080/17517575.2012.683812

URL : https://doi.org/10.1007/s10845-016-1258-2

J. Dias-ferreira, L. Ribeiro, H. Akillioglu, P. Neves, A. Maffei et al., Characterization of an agile bio-inspired shop-floor, 2014 12th IEEE International Conference on Industrial Informatics (INDIN), pp.404-410, 2014.
DOI : 10.1109/INDIN.2014.6945547

D. M. Dilts, N. P. Boyd, and H. H. Whorms, The evolution of control architectures for automated manufacturing systems, Journal of Manufacturing Systems, vol.10, issue.1, pp.79-93, 1991.
DOI : 10.1016/0278-6125(91)90049-8

D. Marzo-serugendo, G. Gleizes, M. P. Karageorgos, and A. , Self-organisation and emergence in MAS: An overview, Informatica, vol.30, issue.1, 2006.

P. Domingos, A few useful things to know about machine learning, Communications of the ACM, vol.55, issue.10, pp.78-87, 2012.
DOI : 10.1145/2347736.2347755

N. A. Duffie, Synthesis of Heterarchical manufacturing systems, Computers in Industry, vol.14, issue.1-3, pp.167-174, 1990.
DOI : 10.1016/0166-3615(90)90118-9

A. Eddahech, S. Chtourou, and M. Chtourou, Hierarchical neural networks based prediction and control of dynamic reconfiguration for multilevel embedded systems, Journal of Systems Architecture, vol.59, issue.1, pp.48-59, 2013.
DOI : 10.1016/j.sysarc.2012.11.002

M. Eisenring and M. Platzner, A framework for run-time reconfigurable systems, The Journal of Supercomputing, vol.21, issue.2, pp.145-159, 2002.
DOI : 10.1023/A:1013627403946

W. Elmaraghy, H. Elmaraghy, T. Tomiyama, and L. Monostori, Complexity in engineering design and manufacturing, CIRP Annals, vol.61, issue.2, pp.61793-814, 2012.
DOI : 10.1016/j.cirp.2012.05.001

H. A. Elmaraghy, Changing and Evolving Products and Systems ??? Models and Enablers, Changeable and reconfigurable manufacturing systems, pp.25-45, 2008.
DOI : 10.1007/978-1-84882-067-8_2

H. A. Elmaraghy, Flexible and reconfigurable manufacturing systems paradigms. International References journal of flexible manufacturing systems, pp.261-276, 2006.

G. Estrin, Organization of computer systems, Papers presented at the May 3-5, 1960, western joint IRE-AIEE-ACM computer conference on, IRE-AIEE-ACM '60 (Western), pp.33-40, 1960.
DOI : 10.1145/1460361.1460365

F. G. Filip, Decision support and control for large-scale complex systems, Annual Reviews in Control, vol.32, issue.1, pp.61-70, 2008.
DOI : 10.1016/j.arcontrol.2008.03.002

R. Frei, J. Barata, and M. Onori, Evolvable Production Systems Context and Implications, 2007 IEEE International Symposium on Industrial Electronics, pp.3233-3238, 2007.
DOI : 10.1109/ISIE.2007.4375132

A. Gandomi and M. Haider, Beyond the hype: Big data concepts, methods, and analytics, International Journal of Information Management, vol.35, issue.2, pp.137-144, 2015.
DOI : 10.1016/j.ijinfomgt.2014.10.007

URL : https://doi.org/10.1016/j.ijinfomgt.2014.10.007

A. Giret, D. Trentesaux, and V. Prabhu, Sustainability in manufacturing operations scheduling: A state of the art review, Journal of Manufacturing Systems, vol.37, pp.126-140, 2015.
DOI : 10.1016/j.jmsy.2015.08.002

S. C. Graves and S. P. Willems, Optimizing the Supply Chain Configuration for New Products, Management Science, vol.51, issue.8, pp.1165-1180, 2005.
DOI : 10.1287/mnsc.1050.0367

J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, Internet of Things (IoT): A vision, architectural elements, and future directions, Future Generation Computer Systems, vol.29, issue.7, pp.1645-1660, 2013.
DOI : 10.1016/j.future.2013.01.010

R. Gumzej, M. Colnari?, and W. A. Halang, A reconfiguration pattern for distributed embedded systems. Software and systems modeling, pp.145-161, 2009.
DOI : 10.1007/s10270-007-0075-7

A. Gunasekaran and E. W. Ngai, The future of operations management: An outlook and analysis, International Journal of Production Economics, vol.135, issue.2, pp.687-701, 2012.
DOI : 10.1016/j.ijpe.2011.11.002

V. C. Gungor and F. C. Lambert, A survey on communication networks for electric system automation, Computer Networks, vol.50, issue.7, pp.877-897, 2006.
DOI : 10.1016/j.comnet.2006.01.005

L. Gurgen, O. Gunalp, Y. Benazzouz, and M. Gallissot, Self-aware Cyber-physical Systems and Applications in Smart Buildings and Cities, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013, pp.1149-1154, 2013.
DOI : 10.7873/DATE.2013.240

T. Hacking and P. Guthrie, A framework for clarifying the meaning of Triple Bottom-Line, Integrated, and Sustainability Assessment, Environmental Impact Assessment Review, vol.28, issue.2-3, pp.73-89, 2008.
DOI : 10.1016/j.eiar.2007.03.002

A. Hamieh, D. Deneux, and C. Tahon, BiMov: BIM-Based Indoor Path Planning, Advances on Mechanics, Design Engineering and Manufacturing, pp.889-899, 2017.
DOI : 10.1016/S1474-0346(01)00003-9

S. Hashemi, K. Monfaredi, and M. Masdari, Using cloud computing for e-government: challenges and benefits, International Journal of Computer Information, Systems and Control Engineering, vol.7, issue.9, pp.596-603, 2013.

C. Hegde and K. E. Gray, Use of machine learning and data analytics to increase drilling efficiency for nearby wells, Journal of Natural Gas Science and Engineering, vol.40, pp.327-335, 2017.
DOI : 10.1016/j.jngse.2017.02.019

C. Herrmann, C. Schmidt, D. Kurle, S. Blume, and S. Thiede, Sustainability in manufacturing and factories of the future, International Journal of Precision Engineering and Manufacturing-Green Technology, vol.91, issue.3, pp.283-292, 2014.
DOI : 10.1016/j.procir.2012.07.020

E. Hjelmås and B. K. Low, Face Detection: A Survey, Computer Vision and Image Understanding, vol.83, issue.3, pp.236-274, 2001.
DOI : 10.1006/cviu.2001.0921

T. Holvoet and P. Valckenaers, Exploiting the Environment for Coordinating Agent Intentions, International Workshop on Environments for Multi-Agent Systems, pp.51-66, 2007.
DOI : 10.1007/978-3-540-71103-2_3

M. Jamshidi, A. J. Betancourt, and J. Gomez, Cyber-physical control of unmanned aerial vehicles, Scientia Iranica, vol.18, issue.3, pp.663-668, 2011.
DOI : 10.1016/j.scient.2011.05.004

I. M. Jelali, Introduction, Control Performance Management in Industrial Automation, pp.1-25, 2013.

N. R. Jennings, On agent-based software engineering, Artificial Intelligence, vol.117, issue.2, pp.277-296, 2000.
DOI : 10.1016/S0004-3702(99)00107-1

J. Jiang, Design of reconfigurable control systems using eigenstructure assignments, International Journal of Control, vol.59, issue.2, pp.395-410, 1994.
DOI : 10.1109/TAC.1976.1101355

J. Jiang and X. Yu, Fault-tolerant control systems: A comparative study between active and passive approaches, Annual Reviews in Control, vol.36, issue.1, pp.60-72, 2012.
DOI : 10.1016/j.arcontrol.2012.03.005

J. F. Jimenez, A. Bekrar, G. Zambrano-rey, D. Trentesaux, and P. Leitão, Pollux: a dynamic hybrid control architecture for flexible job shop systems, International Journal of Production Research, vol.55, issue.15, pp.554229-4247, 2017.
DOI : 10.1080/00207543.2014.881575

J. F. Jimenez, G. Zambrano-rey, A. Bekrar, D. Trentesaux, and P. Leitão, Analysing the Impact of Rescheduling Time in Hybrid Manufacturing Control, Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, pp.225-236, 2017.
DOI : 10.1016/j.conengprac.2013.05.004

J. F. Jimenez, A. Bekrar, A. Giret, P. Leitão, and D. Trentesaux, A dynamic hybrid control architecture for sustainable manufacturing control, IFAC-PapersOnLine, vol.49, issue.31, pp.114-119, 2016.
DOI : 10.1016/j.ifacol.2016.12.171

J. F. Jimenez, A. Bekrar, D. Trentesaux, and P. Leitão, A switching mechanism framework for optimal coupling of predictive scheduling and reactive control in manufacturing hybrid control architectures, International Journal of Production Research, vol.2, issue.1, pp.7027-7042, 2016.
DOI : 10.1109/ISIE.2011.5984424

J. F. Jimenez, A. Bekrar, D. Trentesaux, G. Z. Rey, and P. Leitão, Governance mechanism in control architectures for flexible manufacturing systems, IFAC-PapersOnLine, vol.48, issue.3, pp.1093-1098, 2015.
DOI : 10.1016/j.ifacol.2015.06.229

J. F. Jimenez, A. Bekrar, D. Trentesaux, and P. Leitão, An Approach for Characterizing the Operating Modes in Dynamic Hybrid Control Architectures, International Conference on Industrial Applications of Holonic and Multi-Agent Systems, pp.108-119, 2015.
DOI : 10.1007/978-3-319-22867-9_10

J. F. Jimenez, A. Bekrar, D. Trentesaux, J. R. Montoya-torres, and P. Leitão, State of the Art and Future Trends of Optimality and Adaptability Articulated Mechanisms for Manufacturing Control Systems, 2013 IEEE International Conference on Systems, Man, and Cybernetics, pp.1265-1270, 2013.
DOI : 10.1109/SMC.2013.219

L. P. Kaelbling, AN ARCHITECTURE FOR INTELLIGENT REACTIVE SYSTEMS, Proceedings of the 1986 Workshop: Reasoning about Actions and Plans, pp.395-410, 1987.
DOI : 10.1016/B978-0-934613-30-9.50019-6

H. Kagermann, J. Helbig, A. Hellinger, and W. Wahlster, Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry, 2013.

M. M. Kale and A. J. Chipperfield, Stabilized MPC formulations for robust reconfigurable flight control, Control Engineering Practice, vol.13, issue.6, pp.771-788, 2005.
DOI : 10.1016/j.conengprac.2004.09.001

H. Kasinger, Design and Operation of Efficient Self-Organizing Systems (Doctoral dissertation, 2010.

K. Katragjini, E. Vallada, and R. Ruiz, Rescheduling flowshops under simultaneous disruptions, 2015 International Conference on Industrial Engineering and Systems Management (IESM), pp.84-91, 2015.
DOI : 10.1109/IESM.2015.7380141

M. Khalgui, O. Mosbahi, Z. Li, and H. M. Hanisch, Reconfiguration of Distributed Embedded-Control Systems, IEEE/ASME Transactions on Mechatronics, vol.16, issue.4, pp.684-694, 2011.
DOI : 10.1109/TMECH.2010.2050697

I. K. Konstantopoulos and P. J. Antsaklis, An optimization approach to control reconfiguration, Dynamics and Control, vol.9, issue.3, pp.255-270, 1999.
DOI : 10.1023/A:1008394805721

Y. Koren, U. Heisel, F. Jovane, T. Moriwaki, G. Pritschow et al., Reconfigurable Manufacturing Systems, CIRP Annals, vol.48, issue.2, pp.527-540, 1999.
DOI : 10.1016/S0007-8506(07)63232-6

Y. Koren, S. J. Hu, and T. W. Weber, Impact of Manufacturing System Configuration on Performance, CIRP Annals, vol.47, issue.1, pp.369-372, 1998.
DOI : 10.1016/S0007-8506(07)62853-4

G. Kortuem, F. Kawsar, V. Sundramoorthy, and D. Fitton, Smart objects as building blocks for the Internet of things, IEEE Internet Computing, vol.14, issue.1, pp.44-51, 2010.
DOI : 10.1109/MIC.2009.143

V. Kumar, S. Kumar, M. K. Tiwari, and F. Chan, Performance evaluation of flexible manufacturing systems under uncertain and dynamic situations, Proceedings of the Institution of Mechanical Engineers, pp.222915-934, 2008.
DOI : 10.1016/j.rcim.2004.03.005

E. A. Lee, The Past, Present and Future of Cyber-Physical Systems: A Focus on Models, Sensors, vol.7, issue.3, pp.4837-4869, 2015.
DOI : 10.1145/3916.3988

I. Lee and K. Lee, The Internet of Things (IoT): Applications, investments, and challenges for enterprises, Business Horizons, vol.58, issue.4, pp.431-440, 2015.
DOI : 10.1016/j.bushor.2015.03.008

P. Leitão, A. W. Colombo, and S. Karnouskos, Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges, Computers in Industry, vol.81, pp.11-25, 2016.
DOI : 10.1016/j.compind.2015.08.004

P. Leitão and F. Restivo, ADACOR: A holonic architecture for agile and adaptive manufacturing control, Computers in Industry, vol.57, issue.2, pp.121-130, 2006.
DOI : 10.1016/j.compind.2005.05.005

N. Lincoln, S. M. Veres, L. A. Dennis, M. Fisher, and A. Lisitsa, An agent based framework for adaptive control and decision making of autonomous vehicles, ALCOSP, pp.310-317, 2010.

C. Liu, H. P. Hildre, H. Zhang, and T. Rølvåg, Product architecture design of multi-modal products, Research in Engineering Design, vol.121, issue.3, pp.331-346, 2016.
DOI : 10.1115/1.2829464

J. C. Lyke, C. G. Christodoulou, G. A. Vera, and A. H. Edwards, An Introduction to Reconfigurable Systems, Proceedings of the IEEE, vol.103, issue.3, pp.291-317, 2015.
DOI : 10.1109/JPROC.2015.2397832

A. Madureira, C. Ramos, and S. D. Silva, A genetic approach for dynamic job-shop scheduling problems, 4th MetaHeuristics International Conference, 2001.

E. M. Malstrom, A Literature Review and Analysis Methodology for Traditional Scheduling Rules in a Flexible Manufacturing System. Final Technical Report Performed under CAM-I Contract LASS-FM-07, 1983.

A. Manceaux, Contribution au rééquilibrage dynamique des lignes d'assemblage: modélisation, résolutions et applications (Doctoral dissertation, 2015.

C. Martin and K. S. Barber, Adaptive decision-making frameworks for dynamic multi-agent organizational change, Autonomous Agents and Multi-Agent Systems, vol.7, issue.1???2, pp.391-428, 2006.
DOI : 10.1016/S0004-3702(97)00030-1

B. Marzouki and O. B. Driss, Multi Agent Model Based on Chemical Reaction Optimization for Flexible Job Shop Problem, Computational Collective Intelligence, pp.29-38, 2016.
DOI : 10.1016/j.procs.2012.09.041

N. Medvidovic, ADLs and dynamic architecture changes In Joint proceedings of the second international software architecture workshop (ISAW-2) and international workshop on multiple perspectives in software development (Viewpoints' 96) on SIGSOFT'96 workshops, pp.24-27, 1996.

P. Mell and T. Grance, The NIST definition of cloud computing, 2011.
DOI : 10.6028/NIST.SP.800-145

. Merriam-webster, Merriam-Webster's collegiate dictionary, 2004.

G. Michalos, S. Makris, P. Aivaliotis, S. Matthaiakis, A. Sardelis et al., Autonomous Production Systems Using Open Architectures and Mobile Robotic Structures, Procedia CIRP, vol.28, pp.119-124, 2015.
DOI : 10.1016/j.procir.2015.04.020

URL : https://doi.org/10.1016/j.procir.2015.04.020

M. Mircea and A. I. Andreescu, Using Cloud Computing in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis, Communications of the IBIMA, 2011.
DOI : 10.5171/2011.875547

M. Mohamed, A. Murray, and M. Mohamed, The role of information and communication technology (ICT) in mobilization of sustainable development knowledge: a quantitative evaluation, Journal of Knowledge Management, vol.14, issue.5, pp.744-758, 2010.
DOI : 10.1108/EUM0000000004606

J. R. Montoya-torres, Designing sustainable supply chains based on the Triple Bottom Line approach, 2015 4th International Conference on Advanced Logistics and Transport (ICALT), pp.1-6, 2015.
DOI : 10.1109/ICAdLT.2015.7136581

O. Morariu, T. Borangiu, C. Morariu, and S. R?ileanu, Service Oriented Mechanisms for Smart Resource Allocation in Private Manufacturing Clouds, International Conference on Exploring Services Science, pp.367-383, 2016.
DOI : 10.1145/2168697.2168702

W. Mouelhi-chibani and H. Pierreval, Training a neural network to select dispatching rules in real time, Computers & Industrial Engineering, vol.58, issue.2, pp.249-256, 2010.
DOI : 10.1016/j.cie.2009.03.008

W. Moutassem and G. J. Anders, Configuration Optimization of Underground Cables for Best Ampacity, IEEE Transactions on Power Delivery, vol.25, issue.4, pp.2037-2045, 2010.
DOI : 10.1109/TPWRD.2010.2046652

G. Mouzon, M. B. Yildirim, and J. Twomey, Operational methods for minimization of energy consumption of manufacturing equipment, International Journal of Production Research, vol.85, issue.18-19, pp.18-194247, 2007.
DOI : 10.1109/92.335012

W. Neungmatcha, K. Sethanan, M. Gen, and S. Theerakulpisut, Adaptive genetic algorithm for solving sugarcane loading stations with multi-facility services problem. Computers and electronics in agriculture, pp.9885-99, 2013.
DOI : 10.1016/j.compag.2013.07.016

P. Neves, J. Ferreira, M. Onori, and J. Barata, Context and implications of learning in Evolvable Production Systems, IECON 2011, 37th Annual Conference of the IEEE Industrial Electronics Society, pp.2740-2745, 2011.
DOI : 10.1109/IECON.2011.6119745

S. Y. Nof, Automation: What It Means to Us Around the World, Springer Handbook of Automation, pp.13-52, 2009.
DOI : 10.1007/978-3-540-78831-7_3

J. M. Novas, J. Van-belle, B. Saint-germain, and P. Valckenaers, A Collaborative Framework between a Scheduling System and a Holonic Manufacturing Execution System, Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, pp.3-17, 2013.
DOI : 10.1007/978-3-642-35852-4_1

M. Onori, J. Barata, and R. Frei, Evolvable assembly systems basic principles. Information Technology for Balanced Manufacturing Systems, pp.317-328, 2006.
DOI : 10.1007/978-0-387-36594-7_34

URL : https://link.springer.com/content/pdf/10.1007%2F978-0-387-36594-7_34.pdf

C. Pach, T. Berger, T. Bonte, and D. Trentesaux, ORCA-FMS: a dynamic architecture for the optimized and reactive control of flexible manufacturing scheduling, Computers in Industry, vol.65, issue.4, pp.706-720, 2014.
DOI : 10.1016/j.compind.2014.02.005

M. Paolucci, T. Kawamura, T. R. Payne, and K. Sycara, Semantic Matching of Web Services Capabilities, International Semantic Web Conference, pp.333-347, 2002.
DOI : 10.1007/3-540-48005-6_26

M. C. Phocas, E. G. Christoforou, and M. Matheou, Design, motion planning and control of a reconfigurable hybrid structure, Engineering Structures, vol.101, pp.376-385, 2015.
DOI : 10.1016/j.engstruct.2015.07.036

G. Picard, J. F. Hübner, O. Boissier, and M. P. Gleizes, Reorganisation and selforganisation in multi-agent systems, 1st International Workshop on Organizational Modeling, ORGMOD, pp.66-80, 2009.
URL : https://hal.archives-ouvertes.fr/emse-00675584

H. Pierreval and J. L. Paris, From 'simulation optimization'to 'simulation configuration'of systems. Simulation Modelling Practice and Theory, pp.5-19, 2003.

V. V. Prabhu, D. Trentesaux, and M. Taisch, Energy-aware manufacturing operations, International Journal of Production Research, vol.53, issue.23, pp.6994-7004, 2015.
DOI : 10.1007/978-3-642-19692-8

URL : http://www.tandfonline.com/doi/pdf/10.1080/00207543.2015.1100766?needAccess=true

F. G. Quintanilla, O. Cardin, A. L-'anton, and P. Castagna, A modeling framework for manufacturing services in Service-oriented Holonic Manufacturing Systems, Engineering Applications of Artificial Intelligence, vol.55, pp.26-36, 2016.
DOI : 10.1016/j.engappai.2016.06.004

URL : https://hal.archives-ouvertes.fr/hal-01628881

C. R. Rad, O. Hancu, I. A. Takacs, and G. Olteanu, Smart Monitoring of Potato Crop: A Cyber-Physical System Architecture Model in the Field of Precision Agriculture, Agriculture and Agricultural Science Procedia, vol.6, pp.73-79, 2015.
DOI : 10.1016/j.aaspro.2015.08.041

R. Rada and H. Holden, Online Education, Standardization, and Roles, Encyclopedia of Distance Learning, pp.1493-1496, 2009.
DOI : 10.4018/978-1-60566-198-8.ch216

S. Radzievska, Global Crisis, Financialization and Technological Development, International Economic Policy, issue.24, p.124, 2016.

S. Raileanu, M. Parlea, T. Borangiu, and O. Stocklosa, A JADE Environment for Product Driven Automation of Holonic Manufacturing, Service Orientation in Holonic and Multi-Agent Manufacturing Control. Studies in Computational Intelligence, pp.265-277, 2012.
DOI : 10.1007/978-3-642-27449-7_20

D. Rivera, The effect of content customization on learnability and perceived workload, CHI '05 extended abstracts on Human factors in computing systems , CHI '05, pp.1749-1752, 2005.
DOI : 10.1145/1056808.1057013

J. Rojas-ramírez, Evaluación de Alternativas ante Falla en Sistemas Flexibles de Producción, Duodécima Reunión de Verano de Potencia, Aplicaciones Industriales y Exposición Industrial. Mexico: IEEE Mexico, pp.1-6, 1999.

M. N. Rooker, G. Ebenhofer, and T. Strasser, Reconfigurable control in distributed automation systems, Reconfigurable Mechanisms and Robots, 2009.

M. A. Rosen and H. A. Kishawy, Sustainable Manufacturing and Design: Concepts, Practices and Needs, Sustainability, vol.9, issue.12, pp.154-174, 2012.
DOI : 10.3390/su2020624

URL : http://www.mdpi.com/2071-1050/4/2/154/pdf

S. J. Russell and P. Norvig, Artificial intelligence: a modern approach, 2002.

P. Russom, Big data analytics. TDWI best practices report, fourth quarter, p.40, 2011.

L. Rutkowski, Computational intelligence: methods and techniques, 2008.
DOI : 10.1007/978-3-540-76288-1

L. E. Sanchez, J. A. Diaz-pace, A. Zunino, S. Moisan, and J. P. Rigault, An approach based on feature models and quality criteria for adapting component-based systems, Journal of Software Engineering Research and Development, vol.55, issue.3, p.10, 2011.
DOI : 10.1109/CVPR.2001.990517

URL : https://hal.archives-ouvertes.fr/hal-01238074

H. Sayama, Introduction to the modeling and analysis of complex systems, Open SUNY Textbooks, 2015.

G. Schirner, D. Erdogmus, K. Chowdhury, and T. Padir, The Future of Human-in-the-Loop Cyber-Physical Systems, Computer, vol.46, issue.1, pp.36-45, 2013.
DOI : 10.1109/MC.2013.31

J. Schwarz, B. Beloff, and E. Beaver, Use sustainability metrics to guide decisionmaking, Chemical Engineering Progress, vol.98, issue.7, pp.58-63, 2002.

M. K. Senehi and T. R. Kramer, A framework for control architectures, International Journal of Computer Integrated Manufacturing, vol.11, issue.4, pp.347-363, 1998.
DOI : 10.1080/095119298130688

S. A. Seshia, S. Hu, W. Li, and Q. Zhu, Design Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol.36, issue.9, pp.1421-1434, 2016.
DOI : 10.1109/TCAD.2016.2633961

R. M. Setchi and N. Lagos, Reconfigurability and reconfigurable manufacturing systems state-of-the-art review, 2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004, pp.529-535, 2004.
DOI : 10.1109/INDIN.2004.1417401

P. A. Shah, M. Habib, T. Sajjad, M. Umar, and M. Babar, Applications and Challenges Faced by Internet of Things-A Survey, International Conference on Future Intelligent Vehicular Technologies, pp.182-188, 2017.

G. Simon, T. Kovácsházy, and G. Péceli, Transient management in reconfigurable control systems, 2002.

N. Slack, Flexibility as a Manufacturing Objective, International Journal of Operations & Production Management, vol.3, issue.3, pp.4-13, 1983.
DOI : 10.1080/00207548208947770

J. A. Sokolowski and C. Banks, Handbook of real-world applications in modeling and simulation, 2012.
DOI : 10.1002/9781118241042

V. P. Srini and B. D. Shriver, A methodology for designing and modeling reconfigurable systems, International Journal of Computer & Information Sciences, vol.21, issue.1, pp.339-394, 1984.
DOI : 10.1016/S0022-0000(69)80011-5

H. Stadtler and C. Kilger, Supply Chain Management and Advanced Planning, pp.61-73, 2000.

E. Szelke and R. M. Kerr, Knowledge-based reactive scheduling, Production Planning & Control, vol.41, issue.2, pp.124-145, 1994.
DOI : 10.1016/S0019-9958(65)90241-X

Y. Tan and M. Aufenanger, A real-time rescheduling heuristic using decentralized knowledge-based decisions for flexible flow shops with unrelated parallel machines, 2011 9th IEEE International Conference on Industrial Informatics, pp.431-436, 2011.
DOI : 10.1109/INDIN.2011.6034918

W. Terkaj, T. Tolio, and A. Valente, A review on manufacturing flexibility. Design of flexible production systems, pp.41-61, 2009.
DOI : 10.1007/978-3-540-85414-2_3

A. Thierer and A. Castillo, Preparing for the Future of Artificial Intelligence, Public Interest Comment, 2016.

A. Thomas, D. Trentesaux, and P. Valckenaers, Intelligent distributed production control, Journal of Intelligent Manufacturing, vol.23, issue.6, pp.2507-2512, 2012.
DOI : 10.1007/s10845-011-0539-z

URL : https://hal.archives-ouvertes.fr/hal-00639675

A. Thomas, H. Haouzi, T. Klein, S. Belmokhtar, and C. Herrera, Architecture de systèmes contrôlés par la produit pour un environnement de juste à temps, Journal Européen des Systèmes Automatisés (JESA), vol.43, pp.4-5513, 2009.
DOI : 10.3166/jesa.43.513-535

D. Trentesaux and P. Millot, A Human-Centred Design to Break the Myth of the ???Magic Human??? in Intelligent Manufacturing Systems, Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, pp.103-113, 2016.
DOI : 10.1007/978-3-319-30337-6_10

D. Trentesaux and A. Giret, Go-green manufacturing holons: a step towards sustainable manufacturing operations control. Manufacturing Letters, pp.29-33, 2015.
DOI : 10.1016/j.mfglet.2015.07.003

D. Trentesaux, C. Pach, A. Bekrar, Y. Sallez, T. Berger et al., Benchmarking flexible job-shop scheduling and control systems, Control Engineering Practice, vol.21, issue.9, pp.1204-1225, 2013.
DOI : 10.1016/j.conengprac.2013.05.004

D. Trentesaux and V. V. Prabhu, Introduction to Shop-Floor Control, 2013.
DOI : 10.1016/j.aei.2010.05.014

D. Trentesaux, R. , and R. , Ethical behaviour of autonomous Non-Military Cyber-Physical systems, XIX Complex systems: control and modelling problems, International conference on, pp.26-34
URL : https://hal.archives-ouvertes.fr/hal-01592501

D. Trentesaux, R. , and R. , Designing Ethical Cyber-Physical Industrial Systems, IFAC-PapersOnLine, vol.50, issue.1, pp.14934-14939
DOI : 10.1016/j.ifacol.2017.08.2543

D. Trentesaux, Distributed control of production systems, Engineering Applications of Artificial Intelligence, vol.22, issue.7, pp.971-978, 2009.
DOI : 10.1016/j.engappai.2009.05.001

D. Trentesaux, Pilotage hétérarchique des systèmes de production, In Habilitation à diriger des recherches, 2002.

E. Truyen, B. Vanhaute, W. Joosen, P. Verbaeten, and B. N. Jorgensen, A dynamic customization model for distributed component-based systems, Proceedings 21st International Conference on Distributed Computing Systems Workshops, pp.147-152, 2001.
DOI : 10.1109/CDCS.2001.918699

K. Ueda, T. Takenaka, J. Váncza, and L. Monostori, Value creation and decision-making in sustainable society, CIRP Annals, vol.58, issue.2, pp.681-700, 2009.
DOI : 10.1016/j.cirp.2009.09.010

A. Valente, L. De-simone, E. Carpanzano, and F. Ferraris, A methodology for static and dynamic scheduling of automation tasks in reconfigurable production systems, CIRP Journal of Manufacturing Science and Technology, vol.5, issue.4, pp.241-253, 2012.
DOI : 10.1016/j.cirpj.2012.09.006

M. G. Valls and P. B. Val, Comparative analysis of two different middleware approaches for reconfiguration of distributed real-time systems, Journal of Systems Architecture, vol.60, issue.2, pp.221-233, 2014.
DOI : 10.1016/j.sysarc.2013.08.010

M. G. Valls, I. R. López, and L. F. Villar, iLAND: An Enhanced Middleware for Real-Time Reconfiguration of Service Oriented Distributed Real-Time Systems, IEEE Transactions on Industrial Informatics, vol.9, issue.1, pp.228-236, 2013.
DOI : 10.1109/TII.2012.2198662

H. Van-brussel, J. Wyns, P. Valckenaers, L. Bongaerts, and P. Peeters, Reference architecture for holonic manufacturing systems: PROSA. Computers in industry, pp.255-274, 1998.

G. E. Vieira, J. W. Herrmann, and E. Lin, Rescheduling manufacturing systems: a framework of strategies, policies, and methods, Journal of Scheduling, vol.6, issue.1, pp.39-62, 2003.
DOI : 10.1023/A:1022235519958

M. Vlk and R. Barták, Replanning in Predictive-reactive Scheduling. Association for the Advancement of, Artificial Intelligence, 2015.

S. Voß, Meta-heuristics: The state of the art, Workshop on Local Search for Planning and Scheduling, pp.1-23, 2001.

H. P. Wallner, Towards sustainable development of industry: networking, complexity and eco-clusters, Journal of Cleaner Production, vol.7, issue.1, pp.49-58, 1999.
DOI : 10.1016/S0959-6526(98)00036-5

J. D. Walsh, F. Bordeleau, and B. Selic, Domain analysis of dynamic system reconfiguration, Software & Systems Modeling, vol.42, issue.1, pp.355-380, 2007.
DOI : 10.1007/s10270-006-0038-4

D. Walsh, F. Bordeleau, and B. Selic, Change types of dynamic system reconfiguration, 13th Annual IEEE International Symposium and Workshop on Engineering of Computer-Based Systems (ECBS'06), pp.10-19, 2006.
DOI : 10.1109/ECBS.2006.28

Y. Wang and N. Hajli, Exploring the path to big data analytics success in healthcare, Journal of Business Research, vol.70, pp.287-299, 2017.
DOI : 10.1016/j.jbusres.2016.08.002

B. M. Whitehead, F. Boschee, and R. H. Decker, The principal: Leadership for a global society, 2012.
DOI : 10.4135/9781544308609

A. Whitmore, A. Agarwal, D. Xu, and L. , The Internet of Things???A survey of topics and trends, Information Systems Frontiers, vol.17, issue.6, pp.261-274, 2015.
DOI : 10.1109/PS.2009.5307747

U. Wilensky and I. Evanston, NetLogo: Center for connected learning and computer-based modeling, 1999.

T. Xia, L. Xi, E. Pan, and J. Ni, Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems, Reliability Engineering & System Safety, vol.166, pp.87-98, 2016.
DOI : 10.1016/j.ress.2016.09.001

J. H. Xiang, L. Fan, K. Liu, and Z. K. Wang, Optimal Reconfiguration Control for Satellite Constellations with Fault Satellites Using Multiobjective Optimization Algorithm, 2010 International Conference on Measuring Technology and Mechatronics Automation, pp.837-840, 2010.
DOI : 10.1109/ICMTMA.2010.477

A. M. Youssef and H. A. Elmaraghy, Optimal configuration selection for Reconfigurable Manufacturing Systems, International Journal of Flexible Manufacturing Systems, vol.55, issue.1, pp.67-106, 2007.
DOI : 10.1109/ICSMC.2001.972925

Y. Yu, X. Wang, R. Y. Zhong, and G. Q. Huang, E-commerce Logistics in Supply Chain Management: Practice Perspective, Procedia CIRP, vol.52, pp.179-185, 2016.
DOI : 10.1016/j.procir.2016.08.002

URL : https://doi.org/10.1016/j.procir.2016.08.002

M. H. Zahmani, B. Atmani, A. Bekrar, and N. Aissani, Multiple priority dispatching rules for the job shop scheduling problem, 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT), pp.1-6, 2015.
DOI : 10.1109/CEIT.2015.7232991

Z. Rey, G. Bekrar, A. Trentesaux, D. Zhou, and B. H. , Solving the flexible job-shop just-in-time scheduling problem with quadratic earliness and tardiness costs, The International Journal of Advanced Manufacturing Technology, vol.81, pp.9-121871, 2015.

Z. Rey, G. Bonte, T. Prabhu, V. Trentesaux, and D. , Reducing myopic behavior in FMS control: A semi-heterarchical simulation?optimization approach. Simulation Modelling Practice and Theory, pp.53-75, 2014.
URL : https://hal.archives-ouvertes.fr/tel-01197082

Z. Rey, G. Bekrar, A. Prabhu, V. Trentesaux, and D. , Coupling a genetic algorithm with the distributed arrival-time control for the JIT dynamic scheduling of flexible jobshops, International Journal of Production Research, vol.52, issue.12, pp.3688-3709, 2014.

Z. Rey, G. Pach, C. Aissani, N. Bekrar, A. Berger et al., The control of myopic behavior in semi-heterarchical production systems: A holonic framework, Engineering Applications of Artificial Intelligence, vol.26, issue.2, pp.800-817, 2013.

Y. Zhang and J. Jiang, Bibliographical review on reconfigurable fault-tolerant control systems, Annual Reviews in Control, vol.32, issue.2, pp.229-252, 2008.
DOI : 10.1016/j.arcontrol.2008.03.008

V. P. Srini and B. D. Shriver, A methodology for designing and modeling reconfigurable systems, International Journal of Computer & Information Sciences, vol.21, issue.1, 1989.
DOI : 10.1016/S0022-0000(69)80011-5

P. J. Antsaklis and K. Passino, Towards intelligent autonomous control systems: Architecture and fundamental issues, Antsaklis, P On the optimal control of discrete event systems, 1989.
DOI : 10.1007/BF00126465

A. ;. Pancholy and . Muradali, Fi A hierarchical reconfiguration strategy for bus-based multiprocessors, 1995.
DOI : 10.1007/bf02943423

A. Pete and . Pattipati, Krish Structural reconfiguration and informal coordination in administrative organizations, 1996.

P. S. Alencar and . De-lucena, A logical framework for evolving software systems, Proceedings. Winter, 1996.
DOI : 10.1016/0004-3702(80)90014-4

J. Chen, Problem Solving with a Perpetual Evolutionary Learning Architecture 1998 Dasgupta, Dipankar Evolving Neuro-Controllers for a Dynamic System Using Structured Genetic Algorithms, 2000.

W. Shen and . Maturana, Franc MetaMorph II: an agent-based architecture for distributed intelligent design and manufacturing 2001 Balasubramanian, Sivaram; Bren An architecture for metamorphic control of holonic manufacturing systems, Br Designing Run-Time Reconfigurable Systems with JHDL, 2001.

J. P. Heron and R. Woods, Sezer Development of a Run-Time Reconfiguration System with Low Reconfiguration Overhead, Evolving System Architectures for Multimedia Network Design, 2001.

C. Ünsal and . Kiliççöte, Han A Modular Self-Reconfigurable Bipartite Robotic System: Implementation and Motion Planning, 2001.

L. Wills, S. Kannan, and . Sander, An open platform for reconfigurable control, IEEE Control Systems, vol.21, issue.3, 2002.
DOI : 10.1109/37.924797

. Apte, &. Neeraj, and . Zeid, Ibrahim Evolution of transparent manufacturing: An architecture for a Java-based controller of a CIM cell, 2002.

R. W. Brennan and M. Fletcher, An agent-based approach to reconfiguration of real-time distributed control systems, IEEE Transactions on Robotics and Automation, vol.18, issue.4, 2002.
DOI : 10.1109/TRA.2002.802211

. Salomon, Ralf Evolving Receptive-Field Controllers for Mobile Robots, 2002.

L. Znamirowski and . Palusinski, Optimization Technique for Dynamic Reconfiguration of Programmable Analog, 2003.

J. -. Aubin, Pierre Regulation of the evolution of the architecture of a network by tensors operating on coalitions of actors, 2003.

M. Pellegrini, Riv Component Management in a Dynamic Architecture 2003 Puttegowda, Kiran; Lehn, David Context Switching in a Run-Time Reconfigurable System, 2003.

W. Xu, . Wang, and . Shi-gang, Towards an Efficient Self-organizing Reconfiguration Method for Self-reconfigurable Robots, 2004.

L. Apvrille, de Saqui-Sannes, Verifying Service Continuity in a Dynamic Reconfiguration Procedure: Application to a Satellite System, 2005.

. Drozeski and V. Saha, A Fault Detection and Reconfigurable Control Architecture for Unmanned Aerial Vehicles, 2005 IEEE Aerospace Conference, 2005.
DOI : 10.1109/AERO.2005.1559597

C. Jeffrey and R. Cutajar, Rich The Integration of On-Line Monitoring and Reconfiguration Functions into a Safety Critical Automotive Electronic Control Unit, 2005.

M. Wang-;-shugen and . Ma, Bin L Task planning and behavior scheduling for a reconfigurable planetary robot system 2006 ElMaraghy, Hoda A. Flexible and reconfigurable manufacturing systems paradigms, 2006.

. Horling, . Bryan, and . Lesser, Victor The Soft Real-Time Agent Control Architecture, 2006.
DOI : 10.1007/s10458-005-3998-9

C. &. Martin and K. Barber, Su Adaptive decision-making frameworks for dynamic multi-agent organizational change, 2006.
DOI : 10.1007/s10458-006-0009-8

F. Meng and . Tan, Dalong & Wan Development of agent for reconfigurable assembly system with JADE E Run-Time Behavior of Ardea: A Dynamically Reconfigurable Distributed Embedded Control Architecture, 2006.

D. Walsh and F. Bordeleau, Sel Change types of dynamic system reconfiguration Year Author Title 2006 Youssef, Ayman M. A. & ElMarag Assessment of manufacturing systems reconfiguration smoothness, 2006.

A. Zoitl and . Sunder, Christop Dynamic reconfiguration of distributed control applications with reconfiguration services based on IEC, p.61499

L. ;. Bossuet and . Gogniat, Guy Communication-Oriented Design Space Exploration for Reconfigurable Architectures, 2007.
DOI : 10.1155/2007/23496

URL : https://doi.org/10.1155/2007/23496

Y. Cao, . Elmaraghy, and A. Hoda, Reconfigurable Control Structure for Robots in Assembly, Journal of Intelligent and Robotic Systems, vol.24, issue.1, 2007.
DOI : 10.1007/s10846-007-9173-6

Z. Chunjie, Chunjie, Xiang; Genetic algorithm-based dynamic reconfiguration for networked control system, 2007.

R. Morrison, Balasubramaniam A framework for supporting dynamic systems co-evolution, 2007.

E. ;. Patouni and S. Gault, Advanced reconfiguration framework based on game theoretical techniques in autonomic communication systems, 2007.

J. D. Walsh and . Arcy, Bordeleau Domain analysis of dynamic system reconfiguration 2007 Youssef, Ayman M. A. & ElMarag Optimal configuration selection for Reconfigurable Manufacturing Systems, 2007.

M. Yu-;-weimin, &. Zhang, and . Klemm, Multi-agent based reconfigurable manufacturing execution system, 2007.

. Chokshi, &. Nirav, and . Mcfarlane, Du A distributed architecture for reconfigurable control of continuous process operations, 2008.

B. Lavis and . Furukawa, Tom Dynamic space reconfiguration for Bayesian search and tracking with moving targets, 2008.
DOI : 10.1007/s10514-007-9081-4

J. Li and . Dai, Xianzhong & Meng Improved net rewriting system-based approach to model reconfiguration of reconfigurable manufacturing systems, 2008.

L. G. Murta, P.; van de Continuous and automated evolution of architecture-to-implementation traceability links, 2008.

Y. Qu, . Tiensyrja, and . Soininen, Design Flow Instantiation for Run-Time Reconfigurable Systems: A Case Study, EURASIP Journal on Embedded Systems, vol.2008, 2008.
DOI : 10.1109/92.532038

. Zhang, &. Youmin, and . Jiang, Jin Bibliographical review on reconfigurable fault-tolerant control systems, 2009.
DOI : 10.1016/s1474-6670(17)36503-5

R. Gumzej and H. Colnaric, A reconfiguration pattern for distributed embedded systems, Software & Systems Modeling, vol.36, issue.4, 2009.
DOI : 10.1109/MC.2003.1193227

. Sghairi and J. Aubert, Distributed and reconfigurable architecture for flight control system, 2009 IEEE/AIAA 28th Digital Avionics Systems Conference, 2009.
DOI : 10.1109/DASC.2009.5347447

G. Wei, &. Dai, and J. S. , Reconfigurable Mechanisms and Robots, ASME, 2009.

. Rooker, . Ebenhofer, and . Strasser, Reconfigurable control in distributed automation systems, 2009.

. Holvoet, . Weyns, and . Valckenaers, Patterns of delegate MAS 2010 Hsieh, Fu-Shiung Design of reconfiguration mechanism for holonic manufacturing systems based on formal models, 2010.

. Järvenpää, Eeva Factory Level Logistics and Control Aspects for Flexible and Reactive Microfactory Concept, 2010.

P. &. Levi and . Kernbach, Serge Adaptive Control Mechanisms, 2010.

X. Li, Zhang, Chaoyong; Ga An agent-based approach for integrated process planning and scheduling, 2010.

N. K. Lincoln, Veres, S An Agent Based Framework for Adaptive Control and Decision Making of Autonomous Vehicles, 2010.

M. De-la, Rodriguez Accident prevention by control system reconfiguration, 2010.

G. Ramdhany and C. , Dynamic deployment and reconfiguration of ad-hoc routing protocols 2010 Renna, Paolo Capacity reconfiguration management in reconfigurable manufacturing systems, 2010.

J. Xiang, . Fan, . Li, and . Liu, Optimal Reconfiguration Control for Satellite Constellations with Fault Satellites Using Multiobjective Optimization Algorithm Year Author Title, 2010.

. Xuemei, Huang Distributed and reconfigurable control of lower level machines in automatic production line, 2011.

H. Abdelkrim and . Othman, Runtime Reconfigurable MPSoC architecture for control drive system, 2011 IEEE International Symposium on Industrial Electronics, 2011.
DOI : 10.1109/ISIE.2011.5984264

R. Baird and N. Jorgenson, & Gam Self-adapting workflow reconfiguration, 2011.
DOI : 10.1016/j.jss.2010.10.026

N. Javadian and . Aghajani, A multi-objective integrated cellular manufacturing systems design with dynamic system reconfiguration, The International Journal of Advanced Manufacturing Technology, vol.12, issue.4, 2011.
DOI : 10.1108/09576060110392560

G. Lee and . Giun, Ming-Jiun Reconfigurable Architecture for Deinterlacer based on Algorithm, 2011.
DOI : 10.1007/s11265-009-0388-6

W. Li, Evaluating the impacts of dynamic reconfiguration on the QoS of running systems, Journal of Systems and Software, vol.84, issue.12, 2011.
DOI : 10.1016/j.jss.2011.05.060

D. Milutinovic, Glavonjic Reconfigurable robotic machining system controlled and programmed in a machine tool manner 2011 Unver, H. Ozgur System architectures enabling reconfigurable laboratory-automation systems, 2011.

L. Wang and . Zhao, Wei Dynamic scheduling with production process reconfiguration for cold rolling line, 2012.
DOI : 10.3182/20110828-6-it-1002.01296

B. Letaifa, &. Asma, and . Tabbane, S Reconfiguration process and routing management for service platforms 2012 Canal, Carlos; Camara Structural reconfiguration of systems under behavioral adaptation, 2012.

E. Garibay and . Espino, Lucio, D An approach: FPGA based dynamically reconfigurable architecture to enable several scheme controls for power converters, 2012.

S. Kallel and . Kacem, Moha Modeling and enforcing invariants of dynamic software architectures 2012 LOUREIRO, Rui; MERZOUKI, Rochd Structural reconfiguration conditions based on bond graph approach: application to an intelligent autonomous vehicle 2012 Mannava, Vishnuvardhan & Rames Procedia Engineering A novel adaptive re-configuration compliance design pattern for autonomic computing systems, 2012.

R. &. Mariappan, Karthike Optimization technique for virtual topology reconfiguration for IP-over-WDM networks with QoS parameters, 2012.
DOI : 10.1016/j.proeng.2012.01.961

URL : https://doi.org/10.1016/j.proeng.2012.01.961

C. ;. Morariu and . Morariu, Oc Manufacturing Service Bus Integration Model for Implementing Highly Flexible and Scalable Manufacturing Systems, 2012.
DOI : 10.3182/20120523-3-ro-2023.00433

G. Reinhart, M. Niehues, and . Os-adaptive, Location-based Shop Floor Control, 2012.

. Raileanu, . Parlea, and . Borangiu, A JADE Environment for Product Driven Automation of Holonic Manufacturing, 2012.
DOI : 10.1007/978-3-642-27449-7_20

A. Valente and . Simone, Luis A methodology for static and dynamic scheduling of automation tasks in reconfigurable production systems, 2012.

P. Zhang, He, Qian; Feng, Z Reconfiguration decision making in cognitive wireless network, 2013.

. An, . Xin-;-rutten, . Eric, and . Diguet, Discrete Control for Reconfigurable FPGA-based Embedded Systems 2013 Batchkova, Idilia; Popov, Geor Dynamic reconfigurability of control systems using IEC, 2013.

. Duhem and A. Muller, Design space exploration for partially reconfigurable architectures in real-time systems Hierarchical neural networks based prediction and control of dynamic reconfiguration for multilevel embedded systems, Eddahech, 2013.

G. Valls and . Lopez, iLAND: An Enhanced Middleware for Real-Time Reconfiguration of Service Oriented Distributed Real-Time Systems, 2013.

B. Gyurka and B. Gherman, Vaida Optimal control for reducing the energy consumption of a reconfigurable parallel robot, 2013.

. Murar, &. Mircea, and . Brad, Stelian Control Architecture for Plug-and-Play Intelligent Axes within Fast Reconfigurable Manufacturing Equipments 2013 Novas, Van Belle. A collaborative framework between a scheduling system and a holonic manufacturing execution system, 2013.
DOI : 10.1007/978-3-642-30817-8_16

S. Oh and . Ryu, Kwangyeol & Reconfiguration framework of a supply network based on flexibility strategies 2013 Ostroumov, Sergey; Tsiopoulos, Formal approach to agent-based dynamic reconfiguration in Networks, 2013.

C. Trabelsi and . Meftali, Sam Decentralized control for dynamically reconfigurable FPGA systems, 2014.
DOI : 10.1016/j.micpro.2013.04.012

. Beck, Antonio Carlos Schneider Year Author Title, 2014.

M. S. Essers, T. H. Vaneker, and R. M. Da-silva, Evaluating a Data Distribution Service System for Dynamic Manufacturing Environments: A Case Study, Control Architecture for Reconfigurable and distributed manufacturing system, 2014.
DOI : 10.1016/j.protcy.2014.09.023

S. Da, Robson Marinho; Junq A method to design a manufacturing control system considering flexible reconfiguration, 2014.

A. ;. Streit and . Rosch, Susann Redeployment of control software during runtime for modular automation systems taking real-time and distributed I, 2014.

. Pach and B. Berger, ORCA-FMS: a dynamic architecture for the optimized and reactive control of flexible manufacturing scheduling, Computers in Industry, vol.65, issue.4, 2014.
DOI : 10.1016/j.compind.2014.02.005

Z. Yao, Nael Performance-Based Sensor Reconfiguration for Fault-Tolerant Control of Uncertain Spatially Distributed Processes, 2014.

Z. Rey and P. Bonte, Reducing myopic behavior in FMS control: a semi-heterarchical simulation ? optimization approach 2015 Bakhouya, Mohamed & Gaber, Jaa Approaches for engineering adaptive systems in ubiquitous and pervasive environments, 2015.

. Barbosa and A. Leitao, Dynamic self-organization in holonic multi-agent manufacturing systems: the ADACOR evolution 2015 Berthier, Nicolas; An, Xin & M Towards Applying Logico-numerical Control to Dynamically Partially Reconfigurable Architectures 2015 Coutinho, Nuno; Figueira, Dani A control framework for abstract multiparty transport, 2015.

L. ;. Furno and . Nielsen, Mikkel ScienceDirect Centralised versus Decentralised Control Reconfiguration for Collaborating Underwater Robots 2015 Indriago, Carlos; Cardin, Oliv Performance evaluation of holonic-based online scheduling for a switch arrival system, 2015.

C. Liu and . Hildre, Hans Petter Conceptual design of multi-modal products, 2015.

. Jimenez and T. Bekrar, Governance mechanism in control architectures for flexible manufacturing systems, IFAC-PapersOnLine, vol.48, issue.3, 2015.
DOI : 10.1016/j.ifacol.2015.06.229

G. Michalos and S. Makris, Aiva Autonomous Production Systems Using Open Architectures and Mobile Robotic Structures, 2015.
DOI : 10.1016/j.procir.2015.04.020

URL : https://doi.org/10.1016/j.procir.2015.04.020

. Monostori and D. Valckenaers, Cooperative control in production and logistics 2015 Oliveira, Barbosa. Self-adaptation by coordination-targeted reconfigurations, 2015.

M. C. Phocas, Christoforo Design, motion planning and control of a reconfigurable hybrid structure, 2015.

R. Priego and . Schutz, Daniel Reconfiguration architecture for updates of automation systems during operation, 2015.

J. Reis and . Gabriel, Lu A Framework for Dynamic Real-Time Reconfiguration, 2015.
DOI : 10.1109/dsd.2015.22

L. Sanchez and . Emiliano, Diaz-Pac An approach based on feature models and quality criteria for adapting component-based systems 2015 Shariatzadeh, Farshid; Kumar, Intelligent control algorithms for optimal reconfiguration of microgrid distribution system 2015 da Silva, 2015.

. Borangiu, . Raileanu, and . Berger, Switching mode control strategy in manufacturing execution systems, International Journal of Production Research, vol.53, issue.7, 2015.
DOI : 10.1016/j.engappai.2007.09.002

. Vey, . Hugging, and . Bodenburg, Control reconfiguration of physically interconnected systems by decentralized virtual actuators, IFAC-PapersOnLine, vol.48, issue.21, 2015.
DOI : 10.1016/j.ifacol.2015.09.553

X. Xu, . Dai, . Xun, and . Liu, Energy efficiency optimization-oriented control plane and user plane adaptation with a frameless network architecture for 5G, EURASIP Journal on Wireless Communications and Networking, vol.2, issue.1, 2015.
DOI : 10.1007/BF01201460

URL : https://jwcn-eurasipjournals.springeropen.com/track/pdf/10.1186/s13638-015-0403-5?site=jwcn-eurasipjournals.springeropen.com

C. Zielinski, Szynkiewicz Reconfigurable control architecture for exploratory robots, 2016.
DOI : 10.1109/romoco.2015.7219724

A. Cala and M. Foehr, Rohrmus, Towards industrial exploitation of innovative and harmonized production systems, 2016.

E. M. Carlini and G. Giannuzzi, A Decentralized and Proactive Architecture based on the Cyber Physical System Paradigm for Smart Transmission Grids Modelling, Monitoring and Control, Technology and Economics of Smart Grids and Sustainable Energy, vol.20, issue.4, 2016.
DOI : 10.1049/cp.2010.0360

. Chu, &. Jing, and . Guo, Jian Decentralized autonomous planning of cluster reconfiguration for fractionated spacecraft Year Author Title, 2016.

. Dias-ferreira and A. Ribeiro, BIOSOARM: a bio-inspired self-organising architecture for manufacturing cyber-physical shopfloors, Journal of Intelligent Manufacturing, vol.8, issue.2, 2016.
DOI : 10.1080/17517575.2012.683812

M. S. Essers and T. Vaneker, Design of a decentralized modular architecture for flexible and extensible production systems 2016 Evangelopoulos, Vasileios A.; Optimal operation of smart distribution networks: A review of models, 2016.

Z. Gallehdari and . Meskin, Nad A Distributed Control Reconfiguration and Accommodation for Consensus Achievement of Multiagent Systems Subject to Actuator Faults 2016 Gerostathopoulos, Bures, Hnetynka et al. Self-adaptation in software-intensive cyber-physical systems: From system goals to architecture configurations, 2016.

D. ;. Gorecky and . Weyer, Steph Design and Instantiation of a Modular System Architecture for Smart Factories, 2016.

. Jimenez and G. Bekrar, A dynamic hybrid control architecture for sustainable manufacturing control 2016 Leitao, Barbosa Dynamic Switching Mechanism to Support Self-organization in ADACOR Holonic Control System, 2016.

. Lesi, . Vuk, and . Jakovljevic, Zivana Towards Plug-n-Play numerical control for Reconfigurable Manufacturing Systems, 2016.
DOI : 10.1109/etfa.2016.7733524

E. Marseu and D. Kolberg, Birte Interdisciplinary Engineering Methodology for changeable Cyber-Physical Production Systems, 2016.
DOI : 10.1016/j.ifacol.2016.12.166

A. ;. Mazza and . Chicco, Gianfra Multi-Objective Distribution Network Reconfiguration Based on Pareto Front Ranking, 2016.
DOI : 10.1007/s40903-016-0065-6

G. Michalos and . Sipsas, Plat Decision making logic for flexible assembly lines reconfiguration, 2016.
DOI : 10.1016/j.rcim.2015.04.006

O. Morariu, Raileanu, S Redundancy and scalability for virtualized MES systems with programmable infrastructure, 2016.

N. Pham and . Khanh, Kumar, Akash; Leakage aware resource management approach with machine learning optimization framework for partially reconfigurable architectures 2016 de S, ): toward a Service Engineering perspective in Industry 4

. Da-silva and F. Junqueira, Control architecture and design method of reconfigurable manufacturing systems 2016 Steinegger, Michael; Plaschka, A framework for modular and distributable control of reconfigurable robotic systems, 2016.

L. Sun, . Li, &. Yameng, and . Gao, Architecture and Application Research of Cooperative Intelligent Transport Systems, Procedia Engineering, vol.137, 2016.
DOI : 10.1016/j.proeng.2016.01.312

URL : https://doi.org/10.1016/j.proeng.2016.01.312

A. Valente, Reconfigurable industrial robots: A stochastic programming approach for designing and assembling robotic arms 2016 Vasconcelos, Vasconcelos, Endler. Dynamic and coordinated software reconfiguration in distributed data stream systems, 2016.
DOI : 10.1016/j.rcim.2016.03.002

G. Wang, . Xin, S. Huang, and . Han, Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems, The International Journal of Advanced Manufacturing Technology, vol.42, issue.9, 2016.
DOI : 10.1080/00207540310001645147

L. I. Wenxia and N. Shuya, Optimal planning of battery energy storage considering reliability benefit and operation strategy in active distribution system, 2016.

. Xia, . Xi, and . Pan, Reconfiguration-oriented opportunistic maintenance policy for reconfigurable manufacturing systems, Reliability Engineering & System Safety, vol.166, 2016.
DOI : 10.1016/j.ress.2016.09.001

. Yoon, &. Soocheol, and . Suh, Suk-Hwan Manufacturing Information Bus from the Perspective of Cyber Physical Manufacturing System (CPMS), p.2016

Z. Zhang, Xu Time-optimal control for formation reconfiguration of multiple unmanned aerial vehicles 2017 Abeywickrama, Dhaminda B. A survey of autonomic computing methods in digital service ecosystems, 2017.

. Badran and M. Mekhilef, Optimal reconfiguration of distribution system connected with distributed generations: A review of different methodologies 2017 Bhattacharyya, Anirban; Mokhov An empirical comparison of formalisms for modelling and analysis of dynamic reconfiguration of dependable systems 2017 Broman A framework for strategic sustainable development, 2017.

E. Puik, Telgen, Daniel; va Assessment of reconfiguration schemes for Reconfigurable Manufacturing Systems based on resources and lead time