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Application of intelligent optimization algorithms in supply chain network
- Chinese Journal of Intelligent Science and Technology Vol. 4, Issue 2, Pages: 174-183(2022)
- 作者机构：
1. 江南大学人工智能与计算机学院，江苏 无锡 214122
2. 华南理工大学计算机科学与工程学院，广东 广州 510006
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.2096-6652.202202
CLC： TP301-
Published Online：2022-06，
Published：15 June 2022
- 稿件说明：
移动端阅览
Xin ZHANG, Zhihui ZHAN. Application of intelligent optimization algorithms in supply chain network[J]. Chinese journal of intelligent science and technology, 2022, 4(2): 174-183.
Xin ZHANG, Zhihui ZHAN. Application of intelligent optimization algorithms in supply chain network[J]. Chinese journal of intelligent science and technology, 2022, 4(2): 174-183. DOI： 10.11959/j.issn.2096-6652.202202.
摘要
供应链网络通过需求和供应关系将各个成员连接起来，方便成员之间进行协调与合作，这在全球化竞争环境下显得尤为重要。对供应链网络结构进行优化改进能够缩小企业运营成本、提高企业收益，提升客户满意度，进而提高企业的竞争力。首先，通过分析供应链网络中的优化问题，从建模特征、决策变量类型和场景特征等不同角度对该问题进行分类，从而更清晰地介绍现有供应链网络研究工作中涉及的优化问题。然后，介绍并分析了遗传算法、蚁群优化算法和粒子群优化算法3种常用的智能优化算法及其在供应链网络优化问题中的应用情况。最后，对供应链网络优化问题的未来研究方向进行了展望。
Abstract
Supply chain network connects members by the relationship of demand and supply and facilitates the coordination and cooperation among these members
which is particularly important in the global competition environment.The optimization and improvement of supply chain network can reduce the operating cost of enterprises
increase the income of enterprises and the customer satisfaction
and then improve the competitiveness of enterprises.Firstly
the optimization problems of supply chain network were analyzed
and these problems from several different aspects were classified
such as modeling characteristics
decision variable types
and scene features
so as to introduce the optimization problems in the existing research of supply chain network more clearly.Then
three frequently used intelligent optimization algorithms and their applications in supply chain network optimization were introduced and analyzed
such as genetic algorithm
ant colony optimization algorithm and particle swarm optimization algorithm.Finally
the future research of the optimization of supply chain network was prospected.
关键词
Keywords
references
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