Tripartite Evolutionary Game Analysis of Proprietary Information-Based Value-added Service Strategies in Cloud Manufacturing Platforms*

In the context of manufacturing platformization, a growing number of businesses are adopting cloud manufacturing platforms (CMPs) across various scales. To boost competitiveness and network externalities, CMPs offer value-added services to both suppliers and demanders, often necessitating the sharing of proprietary information. It is crucial for CMP operations to encourage information sharing and select service strategies that maximize benefits for all participants within the platform. This paper develops a tripartite evolutionary game theory model that simulates interactions among numerous participants and describes dynamic game processes more comprehensively than traditional game theories. It is used to analyze strategic decisions of cloud manufacturing platforms (CMPs) that utilize proprietary information to provide value-added services. The study analyzes evolutionary stability and conducts numerical simulations based on real-world scenarios. Findings suggest that the platform and suppliers play dominant roles in this tripartite evolution, with their cooperation encouraging demanders to share more information. These insights are valuable for the future management of CMPs.