A Multi-Objective Method Based on Tag Eigenvalues Is Used to Predict the Supply Chain for Online Retailers
Jiang, Leilei; Hu, Pan; Dong, Ke; Wang, Lu
2024
发表期刊INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT
ISSN1935-5726
卷号17期号:1
摘要E -commerce has grown quickly in recent years thanks to advancements in Internet and information technologies. For the majority of consumers, online shopping has emerged as a primary mode of shopping. However, it has become more challenging for businesses to satisfy consumer demand due to their increasingly individualized wants. To address the need for customized products with numerous kinds and small quantities, businesses must rebuild their supply chain systems to increase their efficiency and adaptability. The SI-LSF technique, which employs boosting learning in the target -relative feature space to lower the prediction error and enhance the algorithm's capacity to handle input-output interactions, is validated in this study using a genuine industrial dataset. The study successfully identifies the relationship between sales and sales as well as target -specific features by applying the multi -objective regression integration algorithm based on label -specific features to a real -world supply chain demand scenario.
关键词Ensemble Learning Label-Specific Features Multi-Objective Regression Object Association Supply Chain Demand Forecasting
其他关键词EVOLUTIONARY ALGORITHM
DOI10.4018/IJISSCM.344839
收录类别ESCI
语种英语
WOS研究方向Business & Economics
WOS类目Management
WOS记录号WOS:001240713200001
出版者IGI GLOBAL
原始文献类型Article
EISSN1935-5734
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.library.ouchn.edu.cn/handle/39V7QQFX/171084
专题国家开放大学
通讯作者Hu, Pan
作者单位Anhui Open Univ, Wuhu, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Leilei,Hu, Pan,Dong, Ke,et al. A Multi-Objective Method Based on Tag Eigenvalues Is Used to Predict the Supply Chain for Online Retailers[J]. INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT,2024,17(1).
APA Jiang, Leilei,Hu, Pan,Dong, Ke,&Wang, Lu.(2024).A Multi-Objective Method Based on Tag Eigenvalues Is Used to Predict the Supply Chain for Online Retailers.INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT,17(1).
MLA Jiang, Leilei,et al."A Multi-Objective Method Based on Tag Eigenvalues Is Used to Predict the Supply Chain for Online Retailers".INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT 17.1(2024).
条目包含的文件
条目无相关文件。
个性服务
查看访问统计
谷歌学术
谷歌学术中相似的文章
[Jiang, Leilei]的文章
[Hu, Pan]的文章
[Dong, Ke]的文章
百度学术
百度学术中相似的文章
[Jiang, Leilei]的文章
[Hu, Pan]的文章
[Dong, Ke]的文章
必应学术
必应学术中相似的文章
[Jiang, Leilei]的文章
[Hu, Pan]的文章
[Dong, Ke]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。