A System Dynamics Simulation Modeling of Dairy Product Cold Chain Inventory and Terminal Revenue

doi:10.3969/j.issn.1007-7375.e17-3246

Abstract

Abstract: Under the low temperature environment, the operation process of the whole cold chain was analyzed, the third party logistics introduced into the system, and a casual analysis chart and a system dynamic flow chart constructed. The model of dairy cold chain was established, which was composed of manufacturers, suppliers and retailers, based on System Dynamics. Then, a simulation experiment was carried out by using Vensim software. The performance of the system under different demand modes such as step demand and stochastic demand was simulated. The inventory level and terminal sales status of the system under different temperatures and operating efficiency were simulated. The results of experiments showed that in the same demand mode, when the temperature is kept at 0℃, the terminal gain is higher than that of -4℃; while the higher the efficiency of the entire system, the smaller the inventory of each node inventory is, and the higher the quality of the dairy products. In the cold chain, the control of the inventory storage temperature can reduce the cost of mass loss. Improvement of the operation efficiency of the cold chain, by shortening the lead time and delivery delay, can help increase the profit of the retailer and reduce quality cost.

Key words: dairy cold chain, system dynamics, Vensim, simulation

CLC Number:

TS205

MENG Xiuli, MENG Xin. A System Dynamics Simulation Modeling of Dairy Product Cold Chain Inventory and Terminal Revenue[J]. Industrial Engineering Journal , 2018, 21(1): 1-8.

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