Optimization in apparel supply chain using Artificial Neural Network

Labour costs in the apparel manufacturing industry Bangladesh have increased dramatically. Hence, there is no alternative way to optimize supply chain survive competitive market. In this study, we implemented artificial neural networks (ANN) organizations by convergent on right supplier selection analyzing their performance criteria. Moreover, data was collected from three different factories analyze efficiency and profit-loss status of units. Furthermore, criteria suppliers order select at time industry. This study shows that it can save 18% total cost. Additionally, mathematical analysis has been performed validate for based