A Performance Comparison Between a Digital Shadow and a Digital Twin in a Mixed Model Stochastic System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3559-4_6
Reference22 articles.
1. Tshabalala P, Kuriakose RB (2022) Analyzing the performance of a digital shadow for a mixed-model stochastic system. In: Sharma H (ed.) Lecturer notes in networks systems. Singapore: Springer. [Online]. Available: https://link.springer.com/chapter/10.1007/978-981-19-2130-8_50#Abs1
2. Wicaksono H, Ni T (2020) An automated information system for medium to short-term manpower an automated information system for medium to short-term manpower capacity planning in make-to-order manufacturing capacity planning in make-to-ord. Procedia Manuf 52(2019):319–324. https://doi.org/10.1016/j.promfg.2020.11.053
3. Tshabalala P, Kuriakose RB (2023) Designing an experimental setup for digital twins in modern manufacturing—a case study using a water bottling plant. Lect Notes Netw Syst 516:615–622. https://doi.org/10.1007/978-981-19-52210_58
4. Eleftheriou OT, Anagnostopoulos C-N (2022) Digital twins: a brief overview of applications, challenges and enabling technologies in the last decade. Digital Twin 2:2. https://doi.org/10.12688/digitaltwin.17581.1
5. Kuriakose RB, Vermaak HJ. Customized mixed model stochastic assembly line modelling using Simulink, pp 2–7. https://doi.org/10.5013/IJSSST.a.20.S1.06
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