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MLP neural network-based regional logistics demand prediction
11 references·0 citing·57 second hop
MLP neural network-based regional logistics demand prediction (2020)MLP neural network-based regional logisti…The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era (2019)The mean-variance approach fo…Reverse logistics activities in three companies of the process industry (2018)Reverse logistics activities …Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context (2017)Forecasting time-varying logi…Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach (2017)Evaluating barriers for rever…Demand forecasting and order planning for humanitarian logistics: An empirical assessment (2016)Demand forecasting and order …Big data analytics in logistics and supply chain management: Certain investigations for research and applications (2016)Big data analytics in logisti…A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating (2016)A dynamic logistics model for…Methodology of emergency medical logistics for public health emergencies (2015)Methodology of emergency medi…Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment (2015)Integration of AHP-TOPSIS met…Research synthesis in collaborative planning forecast and replenishment (2014)Research synthesis in collabo…An intermodal freight transport system for optimal supply chain logistics (2013)An intermodal freight transpo…China statistical yearbook (1988)The immediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. 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References

  • 2016Big data analytics in logistics and supply chain management: Certain investigations for research and applications1,544 cited
  • 2019The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era443 cited
  • 2015Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment384 cited
  • 2017Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach198 cited
  • 2017Forecasting time-varying logistics distribution flows in the One Belt-One Road strategic context129 cited
  • 2013An intermodal freight transport system for optimal supply chain logistics113 cited
  • 2016Demand forecasting and order planning for humanitarian logistics: An empirical assessment103 cited
  • 2015Methodology of emergency medical logistics for public health emergencies103 cited
  • 2016A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating94 cited
  • 2018Reverse logistics activities in three companies of the process industry70 cited
  • 2014Research synthesis in collaborative planning forecast and replenishment56 cited

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