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Improved multi-fidelity simulation-based optimisation: application in a digital twin shop floor
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Improved multi-fidelity simulation-based optimisation: application in a digital twin shop floor (2020)Improved multi-fidelity simulation-based …Big Data: A Survey (2014)Big Data: A SurveyInternational Journal of Production Research (1962)International Journal of Prod…A digital twin framework integrated with a mixed proactive-reactive model for human milk supply chain planning (2025)A digital twin framework inte…Digital twin dynamic-polymorphic uncertainty surrogate model generation using a sparse polynomial chaos expansion with application in aviation hydraulic pump (2024)Digital twin dynamic-polymorp…Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions (2023)Deploying hybrid modelling to…An overview of business intelligence technology (2011)Big data: The next frontier for innovation, competition, and productivity (2011)Big data: a revolution that will transform how we live, work, and think (2013)A survey of machine learning for big data processing (2016)Critical analysis of Big Data challenges and analytical methods (2016)Big Data technologies: A survey (2017)Ripple effect in the supply chain: an analysis and recent literature (2017)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case (2020)Analyzing Industry 4.0 Adoption Enablers for Supply Chain Flexibility: Impacts on Resilience and Sustainability (2024)From Theory to Practice: Leveraging Digital Twin Technologies and Supply Chain Disruption Mitigation Strategies for Enhanced Supply Chain Resilience with Strategic Fit in Focus (2024)A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0 (2025)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019)A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19) (2020)Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak (2020)A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective (2018)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (2019)
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References

  • 2014Big Data: A Survey2,909 cited
  • 1962International Journal of Production Research2,111 cited

Cited by

  • 2023Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions66 cited
  • 2025A digital twin framework integrated with a mixed proactive-reactive model for human milk supply chain planning12 cited
  • 2024Digital twin dynamic-polymorphic uncertainty surrogate model generation using a sparse polynomial chaos expansion with application in aviation hydraulic pump8 cited

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