Abstract
Simulation-based optimization of control policy on multi-echelon inventory system for fresh agricultural products
Highlights
Fresh agricultural products are the necessities in our daily life
The inventory cost obtained by mathematical model (73757) is bigger than simulation model (70224), it can be seen that the simulation-based optimization method has more advantages to solve complex system problems than mathematical method
We propose the simulation-based optimization model with the Flexsim simulation software and improved particle swarm optimization algorithm
Summary
Fresh agricultural products are the necessities in our daily life. As fresh agricultural products are perishable and vulnerable, it is difficult for enterprises to arrange the order, inventory and shipment. Güller et al.[16] studied a multi-echelon production-inventory system under a stochastic environment and used simulation-based optimization approach to determine the optimal inventory control parameters. He et al.[17] proposed a novel simulation-based heuristic method to solving the modeling and optimization problem of multi-echelon contain in supply chain network, where the objective is subject to the minimization of the total supply chain service cost. The simulation-based optimization model of the multi-echelon inventory system for fresh agricultural products is established based on the Flexsim simulation software and the improved particle swarm optimization algorithm. In order to verify that the simulation-based optimization method has more advantages to solve complex system problems than mathematical method, the multi-echelon inventory system is simulated based on a large number of survey data
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