Highlighting the benefits of Industry 4.0 for production: an agent-based simulation approach
Julio Takashi Cavata; Alexandre Augusto Massote; Rodrigo Filev Maia; Fábio Lima
Abstract
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References
Recommendations for implementing the strategic initiative INDUSTRIE 4.0. 2013:1-78.
Adeyeri M. K., Mpofu K., Adenuga O. T. Integration of agent technology into manufacturing enterprise: a review and platform for Industry 4.0.. 2015:1-10.
Alsina E. F., Cabri G., Regattieri A. An agent-based approach to simulate production, degradation, repair, replacement and preventive maintenance of manufacturing systems.. 2014:24-31.
Balaji P. G., Srinivasan D. An introduction to multi-agent systems.. (Eds.), Innovations in multi-agent systems and applications - 1. 2010:1-27.
Borshchev A. The big book of simulation modeling – multimethod modeling with AnyLogic 6. 2014.
Büth L., Broderius N., Herrmann C., Thiede S. Introducing agent-based simulation of manufacturing systems to industrial discrete-event simulation tools. 2017:1141-6.
Dafflon B., Essamlali M. T. E., Sekhari A., Bouras A. A reactive agent-based decision-making system for SBCE. 2016:746-53.
Feng Y., Fan W. A hybrid simulation approach to dynamic multi-skilled workforce planning of production line. 2014:1632-43.
Hermann M., Pentek T., Otto B. Design principles for Industrie 4.0 scenarios.. 2016:3928-37.
Industrial internet reference architecture. 2015:1-101.
Jules G., Saadat M. Agent cooperation mechanism for decentralized manufacturing scheduling. IEEE Transactions on Systems, Man, and Cybernetics. Systems. 2017;47(12):3351-62.
Kadera P., Novák P. Automatic compilation of performance models for industrial Multi-Agent Systems. 2015:1-8.
Kang H. S., Lee J. Y., Choi S., Kim H., Park J. H., Son J. Y., Kim B. H., Noh S. D. Smart manufacturing: past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing Green Technology. 2016;3(1):111-28.
Lee J., Bagheri B., Kao H.-A. Cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters. 2015;3:18-23.
Leitão P., Karnouskos S., Ribeiro L., Lee J., Strasser T., Colombo A. W. Smart agents in industrial cyber-physical systems. Proceedings of the IEEE. 2016;104(5):1086-101.
Leitão P., Marík V., Vrba P. Past, present, and future of industrial agent applications. IEEE Transactions on Industrial Informatics. 2013;9(4):2360-72.
Metzger M., Polaków G. A. A survey on applications of agent technology in industrial process control. IEEE Transactions on Industrial Informatics. 2011;7(4):570-81.
Novak P., Kadera P., Wimmer M. Agent-based modeling and simulation of hybrid cyber-physical systems. 2018:1-8.
Scholz M., Oberschachtsiek S., Donhauser T., Franke J. Software-in-the-loop testbed for multi-agent-systems in a discrete event simulation: Integration of the Java agent development framework into plant simulation. 2017:1-6.
Schwab K. The fourth industrial revolution. 2016.
Shpilevoy V., Shishov A., Skobelev P., Kolbova E., Kazanskaia D., Shepilov Y, Tsarev A. Multi-agent system “Smart Factory” for real-time workshop management in aircraft jet engines production. IFAC Proceedings Volumes. 2013;46(7):204-9.
Trappey A. J. C., Trappey C. V., Govindarajan U. H., Sun J. J., Chuang A. C. A review of technology standards and patent portfolios for enabling cyber-physical systems in advanced manufacturing. IEEE Access : Practical Innovations, Open Solutions. 2016;4:7356-82.
Reference architecture model industrie 4.0 (RAMI 4.0). 2015.
Vrba P., Tichý P., Marík V., Hall K. H., Staron R. J., Maturana F. P., Kadera P. Rockwell automation’s holonic and multiagent control systems compendium. IEEE Transactions on Systems, Man, and Cybernetics. 2011;41(1):14-30.