Cost Optimization of Supply Chain of Green Agricultural Product Basing on Particle Swarm Optimization

Yong-lu Yan, Yali Li
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Abstract

As the basic industry, the modernization of agriculture has the advantage with low cost and instant effect, which is an important choice for the cities. However, the irrational cost control of supply chain makes a great contribution to the price rising of green agricultural products. On the basis of analysing the cost structure of supply chain, this study structures the target cost model and gives an optimizing solution to the problem based on Particle Swarm Optimization. Moreover, this study takes one of green agricultural product supply chains in China for empirical research to examine the above optimizing method, the results shows that the target cost of green agricultural product supply chain can be obtained by the method of improved Particle Swarm Optimization.
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基于粒子群优化的绿色农产品供应链成本优化
农业现代化作为基础产业,具有成本低、立竿见影的优势,是城市发展的重要选择。然而,供应链成本控制的不合理是造成绿色农产品价格上涨的重要原因。在分析供应链成本结构的基础上,构建了目标成本模型,并给出了基于粒子群算法的优化求解方法。此外,本文还以中国某绿色农产品供应链为实证研究对象,对上述优化方法进行了检验,结果表明,采用改进粒子群优化方法可以得到绿色农产品供应链的目标成本。
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