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Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning
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Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning (2023)Smart Platform for Data Blood Bank Manage…Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models (2019)Reducing demand uncertainty i…Inventory management of platelets along blood supply chain to minimize wastage and shortage (2019)Inventory management of plate…Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation’s Blood Supply (2019)Comparison of Time Series Met…A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making (2015)A structured review of quanti…The top ten global health supply chain issues: Perspectives from the field (2014)The top ten global health sup…Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital (2013)Pharmaceutical supply chain a…Supply Chain Management of Blood Banks (2005)Supply Chain Management of Bl…Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Distribution of the Estimator…Standards for blood banks and transfusion services. 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References

  • 1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root23,183 cited
  • 1977Standards for blood banks and transfusion services.1,202 cited
  • 2013Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital295 cited
  • 2015A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making227 cited
  • 2005Supply Chain Management of Blood Banks171 cited
  • 2014The top ten global health supply chain issues: Perspectives from the field137 cited
  • 2019Inventory management of platelets along blood supply chain to minimize wastage and shortage113 cited
  • 2019Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models103 cited
  • 2019Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation’s Blood Supply77 cited

Cited by

  • 2024Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review117 cited
  • 2024Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques50 cited
  • 2023AI in Inventory Management: Applications, Challenges, and Opportunities42 cited
  • 2023Blood Demand Forecasting and Supply Management: An Analytical Assessment of Key Studies Utilizing Novel Computational Techniques

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31 cited
  • 2023A Review of Amelioration of Awareness About Blood Donation Through Various Effective and Practical Strategies17 cited
  • 2024Blood production factors affecting transfusion sustainability: A study by using smart PLS-SEM approach15 cited