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Deep learning approaches to identify order status in a complex supply chain

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References

2018Supply chain risk management and artificial intelligence: state of the art and future research directions1,024 cited
2015OR/MS models for supply chain disruptions: a review862 cited
2017Agribusiness supply chain risk management: A review of quantitative decision models435 cited
2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
2019Predicting supply chain risks using machine learning: The trade-off between performance and interpretability338 cited
2014An analytical framework for supply network risk propagation: A Bayesian network approach316 cited
2020An Integrative approach to supply chain disruption risk and resilience management: a literature review304 cited
2014An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain300 cited
2020Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail206 cited
2014A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments204 cited
2020Ambiguity and its coping mechanisms in supply chains lessons from the Covid-19 pandemic and natural disasters197 cited
2017Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks194 cited

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2020

Application of genetic algorithm and BP neural network in supply chain finance under information sharing

171 cited

2020Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques167 cited

2017Hybrid fuzzy-probabilistic approach to supply chain resilience assessment164 cited

2022Supply chain risk management with machine learning technology: A literature review and future research directions163 cited

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2024Forecasting supply chain disruptions in the textile industry using machine learning: A case study40 cited
2025Causal machine learning for supply chain risk prediction and intervention planning38 cited
2025Deep learning framework for interpretable supply chain forecasting using SOM ANN and SHAP34 cited
2025Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration32 cited