A New Method for Distributing and Transporting of Fashion Goods in a Closed-Loop Supply Chain in the Presence of Market Uncertainty

In today's life, using fashion goods is a vital. Ignoring the sale scheduling of fashion goods causes big harms to supply chains. In this research, an Integer Programming model is developed to schedule product distributing, transferring and selling fashion goods in downstream phase of supply chains while market demands are considered dynamic and can be varied from period to period. In continue due to high complexity of the proposed model, a hybrid Genetic and Simulated Annealing algorithms is developed. The proposed algorithm is flexible enough to be used for real industries. The outcomes indicated that, the proposed hybrid algorithm can successfully solve large scale case studies in a reasonable time. The results also showed that, while the market demands of fashion goods are not deterministic, distributing and transferring products into retailers can play a key role in a supply chain. The proposed algorithm is then applied for a fashion clothing company in Malaysia.