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A systematic review of the research trends of machine learning in supply chain management
16 references·16 citing·53 second hopsampled
A systematic review of the research trends of machine learning in supply chain management (2019)A systematic review of the research trend…A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A machine learning framework …Sustainable supply chain management: framework and further research directions (2016)Sustainable supply chain mana…Supply chain sustainability: A risk management approach (2015)Supply chain sustainability: …Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research (2015)Insights from hashtag #supply…Big Data for Development: A Review of Promises and Challenges (2015)Big Data for Development: A R…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Quantitative models for sustainable supply chain management: Developments and directions (2013)Quantitative models for susta…Supplier selection and performance evaluation in just-in-time production environments (2010)Supplier selection and perfor…Sales forecasts in clothing industry: The key success factor of the supply chain management (2010)Sales forecasts in clothing i…Integration of artificial neural network and MADA methods for green supplier selection (2010)Integration of artificial neu…Artificial intelligence in supply chain management: theory and applications (2009)Artificial intelligence in su…Supplier selection: A hybrid model using DEA, decision tree and neural network (2008)Supplier selection: A hybrid …Application of machine learning techniques for supply chain demand forecasting (2007)Application of machine learni…A hybrid approach to supplier selection for the maintenance of a competitive supply chain (2007)A hybrid approach to supplier…A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness (2007)A holistic approach for selec…Improved supply chain management based on hybrid demand forecasts (2005)Improved supply chain managem…Supply Chain Resilience: A Critical Review of Risk Mitigation, Robust Optimisation, and Technological Solutions and Future Research Directions (2025)Supply Chain Resilience: A Cr…Using inverse DEA and machine learning algorithms to evaluate and predict suppliers’ performance in the apple supply chain (2024)Using inverse DEA and machine…Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption (2024)Enhancing supply chain resili…Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice (2024)Artificial intelligence and m…Sustainable Supply Chain Management in the Age of Machine Intelligence: Addressing Challenges, Capitalizing on Opportunities, and Shaping the Future Landscape (2023)Sustainable Supply Chain Mana…Predictable inventory management within dairy supply chain operations (2023)Predictable inventory managem…Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence (2023)Intelligent selection of heal…Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research (2023)Artificial intelligence techn…Digitalization of Supply Chain Management with Industry 4.0 Enabling Technologies: A Sustainable Perspective (2022)Digitalization of Supply Chai…Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions (2022)Detecting fake news and disin…Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction (2022)Deep neural networks with L1 …Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study (2022)Barriers, Drivers, and Social…Application of artificial intelligence technology in the manufacturing process and purchasing and supply management (2022)Application of artificial int…Machine learning: Best way to sustain the supply chain in the era of industry 4.0 (2021)Machine learning: Best way to…Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective (2021)Are artificial intelligence a…A systematic review of machine learning in logistics and supply chain management: current trends and future directions (2021)A systematic review of machin…An Analysis Of Vendor Selection Systems And Decisions (1966)Vendor selection criteria and methods (1991)A review of methods supporting supplier selection (2001)A combined methodology for supplier selection and performance evaluation (2010)A literature review of decision-making models and approaches for partner selection in agile supply chains (2011)An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management (2011)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Structural investigation of supply networks: A social network analysis approach (2010)Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management (2013)The role of Big Data in explaining disaster resilience in supply chains for sustainability (2016)Artificial intelligence applications in supply chain management (2021)Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic (2021)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)The Bullwhip Effect In Supply Chains 1 (1997)Information systems in supply chain integration and management (2003)Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Cannibals with forks: the triple bottom line of 21st century business (1999)DEFINING SUPPLY CHAIN MANAGEMENT (2001)From a literature review to a conceptual framework for sustainable supply chain management (2008)Risk assessment and risk management: Review of recent advances on their foundation (2015)Sustainable supply chain network design: An optimization-oriented review (2015)An integrated framework for sustainable supplier selection and evaluation in supply chains (2016)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)The Analytic Hierarchy Process (1985)Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain (2012)Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company (2013)An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment (2016)Modeling Supply Chain Dynamics: A Multiagent Approach* (1998)Supply chain modeling: past, present and future (2002)Journal of Universal Computer Science (2020)Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021)The Presentation of Self in Everyday Life. (1956)The Evolution of Cooperation (1981)The Framing of Decisions and the Psychology of Choice (1981)Circular economy and big data analytics: A stakeholder perspective (2018)Unleashing the convergence amid digitalization and sustainability towards pursuing the Sustainable Development Goals (SDGs): A holistic review (2020)The Ethics of Artificial Intelligence (2023)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)The iron cage revisited institutional isomorphism and collective rationality in organizational fields (2004)Theory Building From Cases: Opportunities And Challenges (2007)Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance (2017)Industry 4.0 and circular economy: Operational excellence for sustainable reverse supply chain performance (2019)Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda (2021)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Strategy and society: the link between competitive advantage and corporate social responsibility (2007)The relationship between corporate social responsibility and shareholder value: an empirical test of the risk management hypothesis (2008)Literature review on disruption recovery in the supply chain (2017)Revealing interfaces of supply chain resilience and sustainability: a simulation study (2017)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2013Quantitative models for sustainable supply chain management: Developments and directions1,202 cited
  • 2015Supply chain sustainability: A risk management approach734 cited
  • 2015Big Data for Development: A Review of Promises and Challenges678 cited
  • 2007Application of machine learning techniques for supply chain demand forecasting669 cited
  • 2010Integration of artificial neural network and MADA methods for green supplier selection654 cited
  • 2016Sustainable supply chain management: framework and further research directions613 cited
  • 2009Artificial intelligence in supply chain management: theory and applications574 cited
  • 2015Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research467 cited
  • 2007A hybrid approach to supplier selection for the maintenance of a competitive supply chain350 cited
  • 2005Improved supply chain management based on hybrid demand forecasts312 cited
  • 2007A holistic approach for selecting a third-party reverse logistics provider in the presence of vagueness286 cited
  • 2008Supplier selection: A hybrid model using DEA, decision tree and neural network284 cited
  • 2018A machine learning framework for customer purchase prediction in the non-contractual setting

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267 cited
  • 2010Sales forecasts in clothing industry: The key success factor of the supply chain management204 cited
  • 2010Supplier selection and performance evaluation in just-in-time production environments176 cited
  • Cited by

    • 2022Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions181 cited
    • 2022Digitalization of Supply Chain Management with Industry 4.0 Enabling Technologies: A Sustainable Perspective178 cited
    • 2021A systematic review of machine learning in logistics and supply chain management: current trends and future directions176 cited
    • 2022Deep neural networks with L1 and L2 regularization for high dimensional corporate credit risk prediction94 cited
    • 2023Artificial intelligence techniques for enhancing supply chain resilience: A systematic literature review, holistic framework, and future research92 cited
    • 2021Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective91 cited
    • 2024Artificial intelligence and machine learning in purchasing and supply management: A mixed-methods review of the state-of-the-art in literature and practice87 cited
    • 2025Supply Chain Resilience: A Critical Review of Risk Mitigation, Robust Optimisation, and Technological Solutions and Future Research Directions77 cited
    • 2022Application of artificial intelligence technology in the manufacturing process and purchasing and supply management71 cited
    • 2024Enhancing supply chain resilience: A machine learning approach for predicting product availability dates under disruption69 cited
    • 2023Sustainable Supply Chain Management in the Age of Machine Intelligence: Addressing Challenges, Capitalizing on Opportunities, and Shaping the Future Landscape66 cited
    • 2022Barriers, Drivers, and Social Considerations for AI Adoption in Supply Chain Management: A Tertiary Study63 cited
    • 2024Using inverse DEA and machine learning algorithms to evaluate and predict suppliers’ performance in the apple supply chain51 cited
    • 2021Machine learning: Best way to sustain the supply chain in the era of industry 4.050 cited
    • 2023Predictable inventory management within dairy supply chain operations41 cited
    • 2023Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence41 cited