In today's complex and ever-changing world, Supply Chain Management (SCM) is
increasingly becoming a cornerstone to any company to reckon with in this global era for all …

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 …

The management and supply of blood are critical yet considered a challenging exercise
within the healthcare industry. The inventory managers within the sector concerned with …

The blood supply chain is an inseparable part of health systems. The importance of blood
and the difficulties of managing the blood supply chain have led to numerous publications …

This research proposes a multi-level predictive algorithm based on the k-means algorithm
with multiple adaptations. The research highlights the main limitations of k-means and …

Background Inventory managers in the blood supply chain always endeavor to provide their
clients with prompt and appropriate responses. On the other hand, timely and regular blood …

Background Natural disasters and pandemics can be highly challenging to blood supply
chains. This review aimed to assess the impacts of pandemics and natural disasters on …

Background Blood supply chain management requires estimates about the demand of blood
products. The more accurate these estimates are, the less wastage and fewer shortages …

Managing the inventory of blood is a crucial operation in hospitals owing to its significance
in medical treatment. At the same time, blood is characterized by unique attributes, such as …

As the world's population grows, resulting in the aggravating trend of aging population, it
brings with it an increase in the demand for blood. Nowadays, in most cities, the blood …