Abstract
The article deals with the simulation of real technological process using the computer technology to optimize the flexible manufacturing system (FMS). There was created a simulation model of the FMS for time-saving modelling of production aimed at the utilization of the system capacities for reaching the higher level of efficiency respecting delivery dates. The simulations provided a lot of other useful information describes the properties of the FMS in details. The most used information for the producer was time data (cycle, processing, waiting, lateness, etc.). A wide variation of clamping fixtures and missing buffers between CNC machines were the most problematic issues of the system, generally. Experimental verifications of the FMS confirmed the advantage of using an industrial simulation to verify different production strategies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Milošević, M., et al.: Design and manufacture of reformer in polymer electrolyte membrane fuel cell. Struct. Integr. Life 17(1), 21–24 (2017)
Mitrovic, N., et al.: Experimental and numerical study of globe valve housing. Chem. Ind. (2017). https://doi.org/10.2298/HEMIND160516035M(M23)
Panda, A., et al.: Progressive technology – diagnostic and factors affecting to machinability. Appl. Mech. Mater. 616, 183–190 (2014)
Stoicovici, D.I., et al.: An experimental approach to optimize the screening in the real operating conditions. Manuf. Eng. 2, 75–78 (2008)
Pantazopoulos, G.A.: Knowledge networks: a key driver for technological advancement and social progress. J. Fail. Anal. Prev. 17(5), 823–824 (2017). https://doi.org/10.1007/s11668-017-0342-z
Monkova, K., et al.: Newly developed software application for multiple access process planning. Adv. Mech. Eng., 39071–39071 (2014)
Jerzy, J., Kuric, I., Grozav, S., Ceclan, V.: Diagnostics of CNC machine tool with R-test system. Acad. J. Manuf. Eng. 12, 56–60 (2014)
Ceclan, V.A., et al.: Quality of the hydroformed tubular parts. Adv. Eng. Forum, 8–9 (2013)
Tanasic, I., et al.: An attempt to create a standardized (reference) model for experimental investigations on implant’s sample. In: MEASUREMENT, 2015, vol. 72, pp. 37–42 (2015). ISSN 0263-2241
Zetek, M., Zetkova, I.: Increasing of the cutting tool efficiency from tool steel by using fluidization method. Procedia Eng. 100, 912–917 (2015)
Kadnar, M., et al.: The design and verification of experimental machine for real journal bearing testing. Tech. Gaz. 18(1), 95–98 (2011). ISSN 1330-3651
Monka, P., Monkova, K.: Basic mathematical principles for internal structure of new CAPP software application. In: Annals of DAAAM for 2009 & Proceedings of the 20th International Symposium, vol. 20, pp. 1281–1282 (2009). ISSN 1726-9679
Monka, P., et al.: Design and experimental study of turning tools with linear cutting edges and comparison to commercial tools. Int. J. Adv. Manuf. Technol. 85, 2325–2343 (2016)
Baron, P., et al.: Proposal of the knowledge application environment of calculating operational parameters for conventional machining technology. Key Eng. Mater. 669, 95–102 (2016)
Stojadinovic, S.M., Majstorovic, V.D.: Developing engineering ontology for domain coordinate metrology. FME Trans. 42(3), 249–255 (2014)
Vuković, A., Perinić, M., Ikonić, M.: Conceptual framework for creating customized modular CAPP system. Eng. Rev. 31(1), 35–43 (2011)
Markovic, J., Mihok, J.: Legal metrology and system for calibration and verification of the radar level sensors. Qual. Innov. Prosper. 20(1), 95–103 (2016)
Turisova, R., et al.: Verification of the risk assessment model through an expert judgment. Qual. Innov. Prosper. 16(1), 37–48 (2012)
Vychytil, J., Holecek, M.: The simple model of cell prestress maintained by cell incompressibility. Math. Comput. Simul. 80(6), 1337–1344 (2010)
Pantazopoulos, G.A.: Failure analysis, quality assurance, and business excellence. J. Fail. Anal. Prev. 13, 119–120 (2013)
Acknowledgements
The paper is the result of the project implementation “Advanced planning and control of discrete production”, code ITMS: 313012T109, supported by the Operational Program Research and Innovation funded by the ERDF; and it was prepared thanks to support by the Ministry of Education of the Slovak Republic through the grants APVV-19-0550 and KEGA 007TUKE-4/2018.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Monka, P.P., Monkova, K., Jahnátek, A., Vanca, J. (2021). Flexible Manufacturing System Simulation and Optimization. In: Mitrovic, N., Mladenovic, G., Mitrovic, A. (eds) Experimental and Computational Investigations in Engineering. CNNTech 2020. Lecture Notes in Networks and Systems, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-030-58362-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-58362-0_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-58361-3
Online ISBN: 978-3-030-58362-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)