智能优化算法在供应链网络中的应用  

Application of intelligent optimization algorithms in supply chain network

作　　者：张欣 詹志辉[2] ZHANG Xin;ZHAN Zhihui(School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,China;School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,China)

机构地区：[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

出　　处：《智能科学与技术学报》2022年第2期174-183,共10页Chinese Journal of Intelligent Science and Technology

基　　金：国家重点研发计划基金资助项目(No.2019YFB2102102);国家自然科学基金资助项目(No.61822602,No.61772207)。

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。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：供应链网络 优化问题 智能优化算法 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]