Red Wine Industry of Supply Chain Management for Distribution Center Using Neural Networks

Abstract

The management of the red wine sector for environmental cooperation and sustainability through neural networks is an integral part of the red wine industry's stock management. The new competent approach is based on neural networks to optimize stocks in the red wine sector to manage the supply chain for environmental cooperation. We also focus on identifying the complexities of predicting stock levels and bottlenecks, optimizing stocks in the red wine sector, from supply chain management to environmental cooperation to reduce the total cost of the red wine sector to managing the supply chain. We use our methods in the red wine industry in supply chain management for an optimization model studied in environmental cooperation. The proposed method was implemented and its performance was evaluated by MATLAB.