distribution network design in the supply chain using genetic algorithms

This paper is aimed at designing a distribution network of small industries in arak city. the model presented in this paper will provide optimal rates of order quantity given by a supplier to the producer. nmfc model covers drops in prices and finance costs. furthermore, the flexible time horizon planning permits the producer to use this model in different time lags like hour, day, and month. the genetic algorithm function has been used in matlab for achieving the solution space and comparing the output results of the model with two eoq and jit models to calculate optimal order quantity. the sensitivity of all parameters has been taken into account to examine its effect on the model which indicates the higher effect of holding and warehousing costs on the total costs.