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A simulation study of Industry 4.0 factories based on the ontology on flexibility with using FlexSim® software

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EN
Abstrakty
EN
The main aim of the article is to develop a simulation model of flexible manufacturing system with applying the ontology on flexibility. Designing manufacturing systems matching both production and market requirements becomes more and more challenging due to the variability of demand for a large number of products made in many variants and short lead times. Manufacturing flexibility is widely recognised as a proven solution to achieve and maintain both the strategical and operational goals of the companies exposed to global competition. Generic simulation model of flexible manufacturing system was developed using FlexSim® 3D software, then the example data were used to demonstrate the developed model applicability. “The Ontology on Flexibility” was applied for evaluation of achieved flexibility of manufacturing system.
Twórcy
  • Kielce University of Technology, Faculty of Management and Computer Modelling, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
  • Sumy State University, Ukraine
Bibliografia
  • [1] Prifti L. et al., A Competency model for “Industrie 4.0” employees, [in:] Proceedings der 13 Internationalen Tagung Wirtschaftsinformatik (WI 2017), St. Gallen, J.M. Leimeister, W. Brenner [Eds], pp. 46–60, 2017.
  • [2] Plattform-I40.de, What is Industrie 4.0?, [Online] 2019 [Cited: 15 Dec. 2019] https://www.plattformi40.de/PI40/Navigation/EN/Industrie40/WhatIs_Industrie40/what-is-industrie40.html
  • [3] Plattform-I40.de, 2030 Vision for Industrie 4.0 – shaping digital ecosystems globally, [Online] 2019 [Cited: 15 Dec. 2019] https://www.plattformi40.de/PI40/Redaktion/EN/Downloads/Publikation/Vision-2030-for-Industrie4.0.pdf?_blob=publication_File&v=8.
  • [4] Hermann M., Boriss O., Pentek T., Design principles for Industrie 4.0 scenarios: a literature review, Working Paper no. 01/2015, [Online] 2015, https://doi.org/10.13140/RG.2.2.29269.22248.
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  • [6] Varela M. et al., Collaborative manufacturing based on cloud, and on other I4.0 oriented principles and technologies: a systematic literature review and reflections, Management and Production Engineering Review, 9, 3, 90–99, 2018.
  • [7] Lee E., Cyber physical systems: design challenges, [in:] 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), Orlando, FL, USA, pp. 363–369, 2008.
  • [8] Lee, J., Bagheri, B. and Kao, H., A cyber-physical systems architecture for Industry 4.0-based manufacturing systems in Manufacturing Letters, January 2015, vol. 3, pp. 18-23.
  • [9] Židek K. et al., Digital twin of experimental smart manufacturing assembly system for Industry 4.0 concept, Sustainability, 12, 3658, 2020.
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  • [13] El Maraghy H. et al., Product variety management, CIRP Annals – Manufacturing Technology, 62, 2, 629–652, 2013.
  • [14] Qin J., Liu Y., Grosvenor R., A categorical framework of manufacturing for Industry 4.0 and beyond, Procedia CIRP, 52, 173–178, 2016.
  • [15] Eloundou J. et al., Evaluation of the routing flexibility of flexible manufacturing system, [in:] Xth International Conference on Integrated Design and Production, CPI, Tangier, Morocco, Dec. 2–4, 2015.
  • [16] Tolio T. [Ed.], Design of flexible production systems. Methodologies and tools, Berlin, Heidelberg, Springer-Verlag, 2009.
  • [17] Salvador F. et al., Mix flexibility and volume flexibility in a build-to-order environment: Synergies and trade-offs, International Journal of Operations and Production Management, 27, 11, 1173–1191, 2007.
  • [18] Banks J. et al., Discrete-event system simulation, 5th Ed., Pearson, 2010.
  • [19] Robinson S., Simulation: the practice of model development and use, John Wiley & Sons, Chichester 2004.
  • [20] Beaverstocks M., Greenwood A., Lavery E., Nordgen W., Applied simulation, modelling and analysis using FlexSim, 4th ed., FlexSim Software Products, Inc., 2014.
  • [21] Luściński S., Digital twinning for smart industry, [in:] EAI proceedings, 3rd EAI International Conference on Management of Manufacturing Systems, Dubrovnik, 2018, doi: 10.4108/eai.6-11-2018. 2279986.
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Bibliografia
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