Work

Evolutionary game-based warehousing resources sharing strategy for logistics industry under product-service system paradigm

Year: 2025

Type: article

Abstract: 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.

Source: Advanced Engineering Informatics

DOI: 10.1016/j.aei.2025.103560

Authors: Shan Ren, Chengying Liang, Yang Liu, Jin Wang, Chuang Wang

Institutions: Xi’an University of Posts and Telecommunications, Linköping University, University of Oulu

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,560