Negative collaboration risk analysis and control in manufacturing service collaboration based on complex network evolutionary game

Abstract

In the era of the digital economy, manufacturing service collaboration (MSC) efficiently meets the demands of user personalization and customization through networked collaboration among service providers. However, negative collaboration behaviors triggered by opportunism within the network can lead to risk generation, risk propagation and potential dysfunction of the entire collaboration network. Traditional risk control strategies are often based on experience and lack predictive validation. To improve the efficiency of risk control strategy formulation and validate the effectiveness of risk control, the article proposes a negative collaboration risk control optimal strategy exploration method. This method can realize effective optimal decision-making for risk control and validation of effectiveness by combining the complex network evolutionary game and Q-learning. The experiment results show that this method is able to formulate situation-specific risk control strategies and keep negative collaboration providers below 10%, effectively controlling MSC collaboration risk.