[HTML][HTML] Artificial neural networks in supply chain management, a review

M Soori, B Arezoo, R Dastres - Journal of Economy and Technology, 2023 - Elsevier
Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

Forecasting of BTC volatility: comparative study between parametric and nonparametric models

R Khaldi, A El Afia, R Chiheb - Progress in Artificial Intelligence, 2019 - Springer
Bitcoin has rapidly gained much attention by media, investors and scholars, since it is widely
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …

[HTML][HTML] Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers: A study of Tema General Hospital of Ghana

C Twumasi, J Twumasi - International Journal of Forecasting, 2022 - Elsevier
The major challenge in managing blood products lies in the uncertainty of blood demand
and supply, with a trade-off between shortage and wastage, especially in most developing …

Smart platform for data blood bank management: forecasting demand in blood supply chain using machine learning

W Ben Elmir, A Hemmak, B Senouci - Information, 2023 - mdpi.com
Despite the efforts of the World Health Organization, blood transfusions and delivery are still
the crucial challenges in blood supply chain management, especially when there is a high …

A decision integration strategy for short-term demand forecasting and ordering for red blood cell components

N Li, F Chiang, DG Down, NM Heddle - Operations Research for Health …, 2021 - Elsevier
Blood transfusion is one of the most crucial and commonly administered therapeutics
worldwide. The need for more accurate and efficient ways to manage blood demand and …

ANN model for users' perception on IOT based smart healthcare monitoring devices and its impact with the effect of COVID 19

K Ganji, S Parimi - Journal of Science and Technology Policy …, 2022 - emerald.com
Purpose COVID-19 was indeed a global epidemic that revolutionized the way of life,
especially health-care services. The way health care will be delivered will undergo a …

Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a …

SE Sarvestani, N Hatam, M Seif, L Kasraian, FS Lari… - Scientific Reports, 2022 - nature.com
Providing fresh blood to keep people in need of blood alive, has always been a main issues
of health systems. Right policy-making in this area requires accurate forecasting of blood …

Applications of artificial intelligence in supply chain management and logistics: focusing onto recognition for supply chain execution

B Hellingrath, S Lechtenberg - The Art of Structuring: Bridging the Gap …, 2019 - Springer
Abstract Emerging technologies like Artificial Intelligence (AI) show the potential to
contribute significantly to the digitalization of supply chains. Nonetheless, the question which …

Demand forecasting for platelet usage: From univariate time series to multivariable models

M Motamedi, J Dawson, N Li, DG Down, NM Heddle - Plos one, 2024 - journals.plos.org
Platelet products are both expensive and have very short shelf lives. As usage rates for
platelets are highly variable, the effective management of platelet demand and supply is …

[HTML][HTML] Reduction of platelet outdating and shortage by forecasting demand with statistical learning and deep neural networks: modeling study

M Schilling, L Rickmann… - JMIR Medical …, 2022 - medinform.jmir.org
Background Platelets are a valuable and perishable blood product. Managing platelet
inventory is a demanding task because of short shelf lives and high variation in daily platelet …