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Performance-driven evolutionary capabilities in virtual production ecosystems

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Języki publikacji
EN
Abstrakty
EN
This paper examines possible aids of performance measurement to the evolution in production ecosystems. A conceptual solution is proposed which derives from the potential of exponential technologies, theory and practice. By adopting an ecosystem approach, a twofold setup of performance has been designed that addresses both the performance of actors and the performance of ecosystem. The proposed mechanism applies Big Data and machine learning. The proof of concept was supported by a prototype of the virtual environment.
Rocznik
Tom
Strony
555--566
Opis fizyczny
Bibliogr. 14 poz.
Twórcy
  • Politechnika Warszawska
Bibliografia
  • 1. Allen, C.R., Angeler, D.G., Garmestani, A.S., Gunderson, L.H.,and Holling, C.S. (2014). Panarchy: Theory and Application. Ecosystems, 17(4), 578-589.
  • 2. Ansari, M.R., Mussida, C., and Pastore, F. (2014). Note on Lilien and Modified Lilien Index. Stata Journal, 14(2), 398-406.
  • 3. Bititci, U.S. (2015). Managing Business Performance: The Science and The Art. Chichester: Wiley.
  • 4. Kingma, D.P., Mohamed, S., Rezende, D.J., and Welling, M. (2014). Semi-supervised learning with deep generative models. Advances in Neural Information Processing Systems, 27, 3581-3589.
  • 5. Kingman, J.F. (1961). The single server queue in heavy traffic. Mathematical Proceedings of the Cambridge Philosophical Society, 57(4), 902-904.
  • 6. Koutsoupias, E., and Papadimitriou, C. (2009). Worst-case Equilibria. Computer Science Review, 3(2), 65-69.
  • 7. Lin, J. (2012). The Heritage Evolution of the Social Credit System Theory and Innovation” (社会信用体系理论的传承脉络与创新, in Chinese). Credit Reference, 162(1), 1-12.
  • 8. Little, J.D. (2011). Little's Law as Viewed on Its 50th Anniversary. Operations Research, 59(3), 536-549.
  • 9. Marshall, A. (2002). The Unity of Nature: Wholeness and Disintegration in Nature and Science. London: Imperial College Press.
  • 10. Strzelczak, S., and Marciniak, S. (2018). An Architecture for Production Internet. In T. Borangiu, D. Trentesaux, A. Thomas, and S. Cavalieri (eds.), Service-Orientation in Holonic and Multi-Agent Manufacturing: Proceedings of SOHOMA 2018. Berlin-Heidelberg: Springer.
  • 11. Strzelczak, S. (2015). Implementing Ontologies in Manufacturing and Logistics – From Theoretical Fundamentals to Prospects. In S. Strzelczak, P. Balda, M. Garetti, and A. Lobov (Eds.), Open Knowledge Driven Manufacturing and Logistics – the eScop Approach (pp. 111-213). Warsaw: OWPW.
  • 12. Strzelczak, S. (2015). Towards Intelligent and Sustainable Economy – From Incas, through eScop, to the Seven Internets. Chengdu: Boao Forum Asia.
  • 13. Strzelczak, S. (2017). Production Internet – Functional Perspective. IFIP Advances in Information and Communication Technology, 513, 48-56.
  • 14. Strzelczak, S. (2018). Performance Measurement in Production Internet: Ecosystemic Perspective. Proceedings of the 16th IFAC Symposium on Information Control Problems in Manufacturing INCOM’2018. Bergamo, 11-13.VI.2018, IFAC.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-63ca36af-55ef-4daa-bf36-823016a36fc1
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