… of deep learning algorithms are utilized to address the above problems. A deep learning-…
Results suggest that the medical supplies management model based on deep learning can …

… Deep architectures can be supervised or … Deep learning techniques are novel and useful
methods for obtaining accurate forecasts in SCM. However, diverse deep learning techniques …

… interest in the application of Deep Learning (a class of machine learning algorithms) in SCM…
reviewing a set of 43 papers about applications of Deep Learning (DL) methods to the SCM, …

… In supply chain forecasting, the Tt emphasis is primarily on the accuracy while coherency
of … forecasts at all levels of a retail supply chain. A deep learning method, the long-short-term-…

… -time supply chain optimization … Supply Chain 4.0, a real-time control technique is needed.
To this end, this article investigates a deep learning-based explicit MPC technique for supply …

… the context of IoT and monitors across the supply chain, allowing users to gather information
… learning. Many studies show that AI has indeed been widely implemented in supply chain …

… The existing management structure of medical supply inventory (MSI) is not sufficiently … of
medical supply stock control in public security emergencies. Therefore, deep learning and big …

… an unprecedented predicament for global supply chains (SCs). … Thenceforth, this paper
proposes a few Deep Learning (DL) … decision-makers to predict supply chain risks proactively to …

… According to the findings, we assume that LSTM and ARIMA are the most efficient Deep
Learning methods to warrant a high accuracy level for demand forecasting in the Supply Chain …

… In this research, the SSOA planning for a Canadian meat processing company is considered…
Among the licenced red meat plants, a few plants supply the three types of red meat, …