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Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation’s Blood Supply
1 references·15 citing·44 second hop
Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation’s Blood Supply (2019)Comparison of Time Series Methods and Mac…Inventory management of platelets along blood supply chain to minimize wastage and shortage (2019)Inventory management of plate…Efficient healthcare supply chain: A prioritized multi-task learning approach with task-specific regularization (2024)Efficient healthcare supply c…An Integrated Supply Chain Model for Predicting Demand and Supply and Optimizing Blood Distribution (2024)An Integrated Supply Chain Mo…Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning (2023)Smart Platform for Data Blood…Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method (2023)Designing a responsive-sustai…A Systematic Literature Review of the Blood Supply Chain through Bibliometric Analysis and Taxonomy (2023)A Systematic Literature Revie…A multiple criteria decision-making model for minimizing platelet shortage and outdating in blood supply chains under demand uncertainty (2023)A multiple criteria decision-…A robust autonomous method for blood demand forecasting (2022)A robust autonomous method fo…Recent intelligent Approaches for Managing and Optimizing smart Blood Donation process (2021)Recent intelligent Approaches…Predicting the Intention to Donate Blood among Blood Donors Using a Decision Tree Algorithm (2021)Predicting the Intention to D…Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana (2021)Machine learning algorithms f…Application of unsupervised machine learning to identify areas of blood product wastage in transfusion medicine (2021)Application of unsupervised m…Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty (2020)Stochastic Inventory Model fo…ForecastTB—An R Package as a Test-Bench for Time Series Forecasting—Application of Wind Speed and Solar Radiation Modeling (2020)ForecastTB—An R Package as a …Application of blockchain technique to reduce platelet wastage and shortage by forming hospital collaborative networks (2020)Application of blockchain tec…Hybrid ordering policies for platelet inventory management under demand uncertainty (2019)Hybrid ordering policies for …Perishable Inventory Theory: A Review (1982)Recent trends in modeling of deteriorating inventory (2001)The Effect of Competition on Recovery Strategies (2006)Environmental effect for a complex green supply-chain management to control waste: A sustainable approach (2020)Designing a supply chain network for blood decomposition by utilizing social and environmental factor (2021)Inventory management in blood supply chain considering fuzzy supply/demand uncertainties and lateral transshipment (2021)Optimal Ordering Policies for Perishable Inventory—II (1975)Supply Chain Management of Blood Products: A Literature Review (2011)A robust integrated logistics model for age-based multi-group platelets in disaster relief operations (2021)A combined continuous-time Markov chain and queueing-inventory model for a blood transfusion network considering ABO/Rh substitution priority and unreliable screening laboratory (2022)Blood platelet production: Optimization by dynamic programming and simulation (2005)A two-stage stochastic programming model for inventory management in the blood supply chain (2017)Designing blood supply chain networks with disruption considerations by a new interval-valued fuzzy mathematical model: M/M/C queueing approach (2023)Supporting platelet inventory management decisions: What is the effect of extending platelets’ shelf life? 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(1977)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital (2013)AI in Inventory Management: Applications, Challenges, and Opportunities (2023)Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques (2024)Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review (2024)Green supply chain management: A review and bibliometric analysis (2015)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)Software tools for conducting bibliometric analysis in science: An up-to-date review (2020)Multi-objective location-distribution optimization in blood supply chain: an application in Turkiye (2024)Supply Chain Resilience: Definitions and quantitative modelling approaches – A literature review (2017)Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study (2017)Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management (2021)Collaborative supply chain network design under demand uncertainty: A robust optimization approach (2024)Designing a sustainable reverse logistics network for used cell phones based on offline and online trading systems (2024)A data-driven approach to optimize a blood supply chain within the Industry 5.0 framework: A stochastic optimization model (2025)
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References

  • 2019Inventory management of platelets along blood supply chain to minimize wastage and shortage113 cited

Cited by

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  • 2023Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning66 cited
  • 2021Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana43 cited
  • 2023Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method39 cited
  • 2019Hybrid ordering policies for platelet inventory management under demand uncertainty37 cited
  • 2020Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty34 cited
  • 2021Predicting the Intention to Donate Blood among Blood Donors Using a Decision Tree Algorithm25 cited
  • 2023A Systematic Literature Review of the Blood Supply Chain through Bibliometric Analysis and Taxonomy21 cited
  • 2021Recent intelligent Approaches for Managing and Optimizing smart Blood Donation process19 cited
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  • 2024Efficient healthcare supply chain: A prioritized multi-task learning approach with task-specific regularization

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14 cited
  • 2022A robust autonomous method for blood demand forecasting12 cited
  • 2021Application of unsupervised machine learning to identify areas of blood product wastage in transfusion medicine10 cited
  • 2020Application of blockchain technique to reduce platelet wastage and shortage by forming hospital collaborative networks10 cited
  • 2024An Integrated Supply Chain Model for Predicting Demand and Supply and Optimizing Blood Distribution6 cited