基于改进帝国竞争算法的多产品供应链优化

发布时间：2019-06-18 10:38

【摘要】：在弹性需求和不同市场规模条件下,从供应链整体收益角度研究了物联网技术对多产品供应链的优化问题。在两级多产品供应链中建立供应链收益模型,分析物联网技术对供应链整体收益的影响。引入帝国竞争算法(Imperialist Competitive Algorithm,ICA),并对该算法进行改进来求解模型,通过计算机仿真优化的方法求解实例,对比引入物联网技术前后供应链整体收益及其变化。研究表明:物联网技术的应用能有效优化多产品供应链;目前物联网成本较高,不适合小规模企业引入;大规模企业引入物联网时,应该合理使用物联网技术,使其效用最大化。
[Abstract]:In terms of the elastic demand and the different market scale, the optimization of the multi-product supply chain is studied from the perspective of the overall profit of the supply chain. The supply chain revenue model is set up in the two-level multi-product supply chain, and the effect of the Internet of Things technology on the overall income of the supply chain is analyzed. In this paper, an Imperial Competitive Algorithm (ICA) is introduced, and the algorithm is improved to solve the model. Through the method of computer simulation and optimization, the whole profit and its change of the supply chain before and after the introduction of the Internet of Things technology are compared. The research shows that the application of the Internet of Things technology can effectively optimize the multi-product supply chain, and the current Internet of things has a high cost and is not suitable for small-scale enterprises to introduce; when the large-scale enterprise introduces the Internet of things, the Internet of Things technology should be used reasonably so as to maximize the utility.
【作者单位】：华南理工大学经济与贸易学院;
【基金】：教育部人文社会科学研究规划项目(11YJA630173) 教育部人文社会科学研究青年基金资助项目(10YJC790116) 中央高校基本科研业务费专项资金资助项目粤港关键领域重点突破项目(2011BZ100174) 广东省星火计划项目(2012A020603003) 国家农业科技成果转化资金重点资助项目(2013GB2E000353)
【分类号】：F274;TP301.6

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