Stochastic Artificial Intelligence benefits and Supply Chain Management inventory prediction

Abstract

Supply chain management (SCM) includes several complex processes, each process being equally important for the maintenance of an efficient supply chain. Supply chains are complex systems where partner actions and coordination affect the performance of the system as a whole. Increasing competitiveness and the need for rapid customer responses require the use of effective management techniques. Traditionally, heuristic or mathematical programming techniques have been used in SCM. Individual item analysis is a common optimization method in supply chains. This ignores the fact that there are dynamic interactions between different entities and that the optimization must be done as a whole. Stochastic models and AI AI have seen limited application in Supply Chain Management (SCM). In order to exploit the potential benefits of stochastic IA for supply chain management, we present in this paper our contribution as a combination of CEW and stochastic approaches to help solve practical problems in forecasting. of stock.