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Enhancing Sustainable Supply Chain Forecasting Using Machine Learning for Sales Prediction
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Enhancing Sustainable Supply Chain Forecasting Using Machine Learning for Sales Prediction (2025)Enhancing Sustainable Supply Chain Foreca…Review and analysis of artificial intelligence methods for demand forecasting in supply chain management (2022)Review and analysis of artifi…A machine learning approach for predicting hidden links in supply chain with graph neural networks (2021)A machine learning approach f…Machine learning demand forecasting and supply chain performance (2020)Machine learning demand forec…An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain (2019)An Improved Demand Forecastin…Supplier selection and performance evaluation in just-in-time production environments (2010)Supplier selection and perfor…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Forecasting methods and applications (1993)A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis (2008)SVR with hybrid chaotic genetic algorithms for tourism demand forecasting (2010)A review of methods supporting supplier selection (2001)A fuzzy approach for supplier evaluation and selection in supply chain management (2005)Global supplier development considering risk factors using fuzzy extended AHP-based approach (2005)A literature review of decision-making models and approaches for partner selection in agile supply chains (2011)DS-VIKOR: A New Multi-criteria Decision-Making Method for Supplier Selection (2018)A systematic review of the research trends of machine learning in supply chain management (2019)Forecasting principles and practiceA Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Supply Chain Management: Strategy, Planning, and Operation (2003)Understanding the influential and mediating role of cultural enablers of AI integration to supply chain (2021)A hybrid deep learning framework with CNN and Bi-directional LSTM for store item demand forecasting (2022)Applications of deep learning into supply chain management: a systematic literature review and a framework for future research (2022)An Experimental Application of the DELPHI Method to the Use of Experts (1963)Designing Complex Organizations (1973)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions (2021)AI-Driven Supply Chain Transformation in Industry 5.0: Enhancing Resilience and Sustainability (2024)Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions (2024)A New Status Index Derived from Sociometric Analysis (1953)Supply networks and complex adaptive systems: control versus emergence (2001)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Towards knowledge graph reasoning for supply chain risk management using graph neural networks (2022)From natural language to simulations: applying AI to automate simulation modelling of logistics systems (2023)Application of machine learning techniques for supply chain demand forecasting (2007)Deep learning applications and challenges in big data analytics (2015)Literature review as a research methodology: An overview and guidelines (2019)A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting (2024)Explainable artificial intelligence to improve the resilience of perishable product supply chains by leveraging customer characteristics (2024)Leveraging synthetic data to tackle machine learning challenges in supply chains: challenges, methods, applications, and research opportunities (2025)
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References

  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 2020Machine learning demand forecasting and supply chain performance305 cited
  • 2021A machine learning approach for predicting hidden links in supply chain with graph neural networks198 cited
  • 2019An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain196 cited
  • 2010Supplier selection and performance evaluation in just-in-time production environments176 cited
  • 2022Review and analysis of artificial intelligence methods for demand forecasting in supply chain management110 cited

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