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Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability
16 references·0 citing·39 second hop
Artificial Intelligence Approach to Predict Supply Chain Performance: Implications for Sustainability (2024)Artificial Intelligence Approach to Predi…Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generación de series de tiemp…Predicting supply chain risks using machine learning: The trade-off between performance and interpretability (2019)Predicting supply chain risks…Big data analytics as an operational excellence approach to enhance sustainable supply chain performance (2019)Big data analytics as an oper…Application of decision-making techniques in supplier selection: A systematic review of literature (2012)Application of decision-makin…Performance measurement of supply chain management: A balanced scorecard approach (2007)Performance measurement of su…Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach (2005)Modeling the metrics of lean,…Exponential smoothing model selection for forecasting (2005)Exponential smoothing model s…Applications of improved grey prediction model for power demand forecasting (2003)Applications of improved grey…Performance measures and metrics in a supply chain environment (2001)Performance measures and metr…The M3-Competition: results, conclusions and implications (2000)The M3-Competition: results, …Measuring supply chain performance (1999)Measuring supply chain perfor…The balanced scorecard--measures that drive performance. (1992)The balanced scorecard--measu…The balanced scorecard : measures that drive performance (1992)The balanced scorecard : meas…Introduction to Grey system theory (1989)Introduction to Grey system t…The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)The accuracy of extrapolation…Control problems of grey systems (1982)Control problems of grey syst…Combining forecasts: A review and annotated bibliography (1989)25 years of time series forecasting (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Integrating the Supply Chain (1989)What is the Right Supply Chain for Your Product (1997)A framework for supply chain performance measurement (2003)The impact of supply chain management practices on competitive advantage and organizational performance (2004)Performance measurement for green supply chain management (2005)Logistics and Supply Chain Management (2021)Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS (2003)Multiple Criteria Decision Analysis: State of the Art Surveys (2005)Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain (2013)A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection (2014)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Performance measurement system design (1995)Supply chain design and analysis: (1998)Towards a theory of supply chain management: the constructs and measurements (2004)The impact of supply chain integration on performance: A contingency and configuration approach (2009)The Combination of Forecasts (1969)Time Series Analysis: Forecasting and Control (1977)Exponential smoothing: The state of the art (1985)Combining forecasts: A review and annotated bibliography (1990)Error measures for generalizing about forecasting methods: Empirical comparisons (1992)Forecasting methods and applications (1993)A Stochastic Approximation Method (1951)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning for financial applications : A survey (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Financial time series forecasting with multi-modality graph neural network (2021)Vague sets are intuitionistic fuzzy sets (1996)Fuzzy best-worst multi-criteria decision-making method and its applications (2017)Performance management: a framework for management control systems research (1999)Clarifying Business Models: Origins, Present, and Future of the Concept (2005)The use of grey relational analysis in solving multiple attribute decision-making problems (2008)Integrating sustainability into supplier selection with grey system and rough set methodologies (2009)Multi-Criteria Decision Making (MCDM) Methods and Concepts (2023)THE IMPACT OF HUMAN RESOURCE MANAGEMENT ON ORGANIZATIONAL PERFORMANCE: PROGRESS AND PROSPECTS. (1996)
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References

  • 1992The balanced scorecard : measures that drive performance12,082 cited
  • 1992The balanced scorecard--measures that drive performance.7,979 cited
  • 1982Control problems of grey systems4,503 cited
  • 1989Introduction to Grey system theory4,260 cited
  • 1999Measuring supply chain performance2,328 cited
  • 2001Performance measures and metrics in a supply chain environment2,027 cited
  • 2000The M3-Competition: results, conclusions and implications1,700 cited
  • 1982The accuracy of extrapolation (time series) methods: Results of a forecasting competition1,465 cited
  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2012Application of decision-making techniques in supplier selection: A systematic review of literature983 cited
  • 2005Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach750 cited
  • 2007Performance measurement of supply chain management: A balanced scorecard approach741 cited
  • 2019Big data analytics as an operational excellence approach to enhance sustainable supply chain performance704 cited
  • 2003Applications of improved grey prediction model for power demand forecasting387 cited

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2019
Predicting supply chain risks using machine learning: The trade-off between performance and interpretability
338 cited
  • 2005Exponential smoothing model selection for forecasting281 cited
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