Predicting Medicine Demand Fluctuations Through Markov Chain

Nowadays, the healthcare sector is rapidly changing. Hospitals are facing limited budgets and high costs. The logistics activities of hospitals in France (stock management, delivery, etc.) represent one highest cost components. costs can be reduced through an optimized inventory management system. optimization strongly dependent on accuracy demand prediction medicines. Many factors influence this demand, such as seasonality, hospital size location, etc. objective paper to propose a Markov chain model estimate medicine fluctuations for France. An analysis first experimental results proposed assess effectiveness method. This preliminary result could contribute inventories.