基于群体智能模型的服务供应链市场物流分析管理

IF 0.9 Q4 MANAGEMENT

International Journal of Information Systems and Supply Chain Management Pub Date : 2022-10-01 DOI:10.4018/ijisscm.305851

Congcong Wang

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引用次数: 0

摘要

在当今全球化的行业可持续发展依赖于具有成本效益的供应链管理的不同市场和物流。供应链风险通常会限制供应链整体成本的利润。在供应链设计实践中，需求的波动和水平的限制是重要的关注点。本文提出了一种群体智能辅助供应链管理框架(SISCMF)，以提高企业的利润和物流绩效。由于设计简单、收敛速度快，群智能算法被广泛应用于大多数供电网络设计领域，能够有效地解决大维度问题。粒子群算法和蚁群算法在解决这些问题方面有了显著的进展。仿真结果表明:运营成本(92.7%)、需求预测率(95.2%)、订单交付率(96.9%)、客户反馈率(98.2%)、产品质量比(97.2%)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Logistic Analytics Management in the Service Supply Chain Market Using Swarm Intelligence Modelling

The industry sustainability in today's globalization relies on cost-effective supply chain management of diverse markets and logistics. Supply chain risks typically limit profits over the overall expense of the supply chain. In the supply chain design practices, the volatility of demand and limitations of levels are essential concerns. In this paper, a swarm intelligence-assisted supply chain management framework (SISCMF) has been proposed to increase profit and improve logistics performance. Due to the simplicity of design and rapid convergence, swarm intelligence (SI) algorithms are widely used in most supply network design fields and efficiently solve large-dimensional problems. A significant increase in resolving these problems has been seen in particle swarm optimization and ant colony algorithm. The simulation result suggested the operational cost (92.7%), demand prediction ratio (95.2%), order delivery ratio (96.9%), customer feedback ratio (98.2%), and product quality ratio (97.2%).

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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.