Designing a clothing supply chain network considering pricing and demand sensitivity to discounts and advertisement

These days, clothing companies are becoming more and developed around the world. Due to rapid development of these companies, designing an efficient supply chain network can be highly beneficial, especially with remarkable increase in demand uncertainties both demand. In this study, a bi-objective stochastic mixed-integer linear programming model is proposed for industry. The first objective function maximizes total profit second one minimizes downside risk. presented network, initial price uncertain incorporated into through set scenarios. To solve model, weighted normalized goal applied. Besides, real case study industry Iran validate method. obtained results showed validity efficiency current study. Also, sensitivity analyses conducted evaluate effect several important parameters, such as discount advertisement, on chain. indicate that considering optimal amount parameter conceivably enhance by about 20% compared time without scheme. When optimized taken account 12% profit.