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Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques
15 references·16 citing·35 second hop
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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • 2003Time series forecasting using a hybrid ARIMA and neural network model4,469 cited
  • 2008A framework of sustainable supply chain management: moving toward new theory4,105 cited
  • 2015Deep learning applications and challenges in big data analytics2,597 cited
  • 1991Product development performance: strategy, organization, and management in the world auto industry2,389 cited
  • 2000Designing and managing the supply chain : concepts, strategies, and case studies2,195 cited
  • 2010The proof and measurement of association between two things1,683 cited
  • 2000Designing and Managing the Supply Chain Concepts, Strategies, and Case Studies1,298 cited
  • 2016A new metric of absolute percentage error for intermittent demand forecasts1,150 cited
  • 1988The proof and measurement of association between two things. By C. Spearman, 1904.1,022 cited
  • 1987The Proof and Measurement of Association between Two Things1,002 cited
  • 2007Application of machine learning techniques for supply chain demand forecasting669 cited
  • 2008Towards a sustainable fashion retail supply chain in Europe: Organisation and performance580 cited
  • 1996Fundamentals of Quality Control and Improvement459 cited

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2018
A machine learning framework for customer purchase prediction in the non-contractual setting
267 cited

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  • 2022Time-series forecasting of seasonal items sales using machine learning – A comparative analysis217 cited
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  • 2023Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research141 cited
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  • 2022Mapping the Role and Impact of Artificial Intelligence and Machine Learning Applications in Supply Chain Digital Transformation: A Bibliometric Analysis107 cited
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  • 2021Product backorder prediction using deep neural network on imbalanced data89 cited
  • 2023Applications of Artificial Intelligence in Inventory Management: A Systematic Review of the Literature89 cited
  • 2024Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption69 cited
  • 2021An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management50 cited
  • 2024Demand Forecasting in Supply Chain Using Uni-Regression Deep Approximate Forecasting Model48 cited
  • 2024Deep learning approaches to identify order status in a complex supply chain47 cited
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