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Supply chain equilibrium and transportation network efficiency based on MSA algorithms and multilayer decision model

机译:基于MSA算法和多层决策模型的供应链均衡与运输网络效率

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Supply chain network equilibrium (SCNE) model can provide many important results for supply chain network. Such as the production of product, the trade volume between supply chain members, and product price, etc. In this paper, the authors analyze the supply chain equilibrium and transportation network efficiency based on MSA algorithms and multilayer decision model. The super network equilibrium problem was converted to transportation network equilibrium problem, and then was planned and resolved. An example was introduced in the paper, and the model was solved. The results showed that the expansion of congestion link capacity would improve the efficiency of supply chain network. New link can cause a significant change in the distribution channel of supply chain network. Those all prove that model can be used to study the interact between related policy of road transport and benefit of supply chain network. At the same time, the model built in this paper can be applied when extended in some direction, which is the next step of research work.
机译:供应链网络均衡(SCNE)模型可以为供应链网络提供许多重要的结果。如产品的生产,供应链成员之间的贸易量和产品价格等。本文采用了基于MSA算法和多层决策模型的供应链均衡和运输网络效率。超级网络均衡问题被转换为运输网络均衡问题,然后计划和解决。纸上介绍了一个例子,并解决了模型。结果表明,拥堵能力的扩展将提高供应链网络的效率。新链接可能导致供应链网络的分销通道发生重大变化。这些都证明了该模型可用于研究相关政策与供应链网络相关政策之间的互动。与此同时,在延伸到某些方向时,可以应用本文的模型,这是研究工作的下一步。

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