Track: Supply Chain

Abstract

Wages increased drastically in apparel manufacturing industry in Bangladesh. Owner is suffering a lot to survive in the market though price did not increase in spite of having augment of the gross in this sector. Hence supply chain optimization is crucial to cut the cost from different echelon of the supply chain. In this research, Wages increased drastically in apparel manufacturing industry in Bangladesh. Management is suffering a lot to survive in the market though price did not increase in spite of having augment of the gross in this sector. Hence supply chain optimization is crucial to cut the cost from different echelon of the supply chain. In this research, Artificial Neural Network (ANN) has been implemented on two of the leading garments manufacturing organization. It has found that error between observed versus predicted are more for east west fashion garments limited due to poor supply chain than energypac fashion limited. In this paper, we have been proposed by analyzing ANN that rate of error reduced to 10%. Consequently, both of the factory’s efficiency has been improved to 20% and 15 % profit got intensification focusing on supply chain optimization.