Aiming at supply chain inventory cost control problem

the time cost is introduced into multi-echelon inventory cost model in this paper

the model uses commonly used method of decomposition which is divided into supply network

core producer and distribution network

who considers the stock total time

transport time of supplier to core producer

transport time of core producer to distributor and the time of core producer storage products in the time cost

and convert them into time cost

then the example model is solved by immune genetic algorithm.Finally

comparison and analyzing the results of optimization

without using optimize inventory cost model to calculate the total cost is 298 405 yuan

but using optimize inventory cost model to calculate the best optimize cost is263 038 yuan

so it is verified the model can reduce inventory cost effectively.