产品-服务系统范式下基于演化博弈的物流业仓储资源共享策略

IF 9.9 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Shan Ren , Chengying Liang , Yang Liu , Jin Wang , Chuang Wang
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引用次数: 0

摘要

有效的仓储资源分配对于降低物流成本和提高供应链绩效至关重要。随着信息技术的进步和共享经济的兴起,许多企业正在采用产品服务体系(PSS)来支持清洁生产(CP)和循环经济(CE)战略。然而,物流利益相关者在动态市场和个性化需求下制定有效的共享策略面临许多挑战。为了解决这些挑战,本文提出了一种基于进化博弈的仓储资源共享(WRS)方法,以实现利益相关者利益最大化。利用双拍卖机制,设计了供方和需方的效用函数,然后利用复制因子动力学方程和雅可比矩阵确定了进化稳定策略。最后,通过数值仿真验证了所提方法的可行性。结果突出了三个关键发现:(1)低云平台运营成本对于实现无监督管理至关重要;(2)供应商对初始共享概率和补贴率表现出敏感性;(3)需求方可以通过信息资源的高饱和度来增强灵活性和减少冗余。这些见解可以为制定有效的WRS战略提供信息,以促进可持续和有竞争力的物流生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary game-based warehousing resources sharing strategy for logistics industry under product-service system paradigm
Efficient warehousing resources distribution is essential for reducing logistics costs and improving supply chain performance. With advancements in information technology and the rise of the sharing economy, many enterprises are adopting the product-service system (PSS) to support cleaner production (CP) and circular economy (CE) strategies. However, logistics stakeholders face many challenges in developing effective sharing strategies under dynamic markets and personalized demands. To address these challenges, an evolutionary game-based approach to warehousing resource sharing (WRS) under the PSS paradigm to maximize stakeholder benefits is proposed in this paper. By using double auction mechanisms, a utility functions for suppliers and demanders are designed, after which the replicator dynamics equations and Jacobian matrices are applied to identify the evolutionarily stable strategies (ESS). Finally, a case study with numerical simulations are carried out to confirm the feasibility of the proposed approach. The results highlighted three key findings: (1) low cloud platform operating costs are vital for enabling unsupervised management; (2) suppliers exhibit sensitivity to initial sharing probabilities and subsidy rates; and (3) demanders can achieve enhanced flexibility and redundancy reduction through high information resource saturation. These insights can inform the formulation of effective WRS strategies to foster sustainable and competitive logistics ecosystems.
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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