A Multi-Objective Method Based on Tag Eigenvalues Is Used to Predict the Supply Chain for Online Retailers

IF 0.9 Q4 MANAGEMENT

International Journal of Information Systems and Supply Chain Management Pub Date : 2024-06-05 DOI:10.4018/ijisscm.344839

Leilei Jiang, Pan Hu, Ke Dong, Lu Wang

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引用次数: 0

Abstract

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.

查看原文本刊更多论文

基于标签特征值的多目标方法用于预测在线零售商的供应链

近年来，由于互联网和信息技术的进步，电子商务发展迅速。对大多数消费者来说，网上购物已成为一种主要的购物方式。然而，由于消费者的需求日益个性化，企业要满足他们的需求变得更具挑战性。为了满足多品种、小批量的定制化产品需求，企业必须重建供应链系统，以提高效率和适应性。SI-LSF 技术在目标相关特征空间中采用提升学习来降低预测误差，并增强算法处理输入输出交互的能力，本研究利用真实的工业数据集对该技术进行了验证。通过将基于特定标签特征的多目标回归整合算法应用于真实世界的供应链需求场景，本研究成功地识别了销售额与销售量以及目标特定特征之间的关系。

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来源期刊

International Journal of Information Systems and Supply Chain Management MANAGEMENT-

CiteScore

1.90

自引率

43.80%

发文量

期刊介绍： The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.