Journal of Engineering, Project, and Production Management, 2026, 16(4), 2025-274
Collaborative Control Strategy of Manufacturing Supply Chain Based on Multi-agent Swarm Intelligence Self-Organization
1 Associate
Professor, School of Business, Shandong Jianzhu University, Ji’nan,
250101, China,
2 Lecturer, School of Civil Engineering, Shandong Polytechnic, Ji’nan,
250104, China, E-mail: zhaozgp0629@outlook.com (corresponding author)
Project Management
Received November 15, 2025; revised May 13, 2026; accepted May 13, 2026
Available online May 29, 2026
Abstract: This study proposes a self-organizing, collaborative control method for supply chains based on multi-agent swarm intelligence, incorporating consensus proactivity and cascading failure considerations. It aims to overcome the limitations of current supply chain control methods, such as poor real-time performance and high computational resource use. The research innovatively integrates carbon tax policies and time delay parameters to build a regulatory model that aligns with green development and practical communication constraints. It uses Karush-Kuhn-Tucker (KKT) conditions and the Lagrange multiplier method to ensure global optimality in convex optimization problems. A multi-agent self-organizing algorithm, grounded in consensus proactivity with a pheromone mechanism, is designed to improve system adaptability. Additionally, a cascading failure recovery strategy based on node importance is developed to increase supply chain resilience. Experiments demonstrate that transaction prices and volumes among different sellers tend to stabilize through iterations, confirming the effectiveness of multi-agent consensus control. The fastest convergence in average loss value is achieved by the consensus proactive method, reaching a minimum of 0.027. The central processor utilization rate, memory usage, and computation time are 26.2%, 173MB, and 25.3ms, respectively. In conclusion, the research effectively enhances supply chain response capabilities, improves regulation efficiency, and promotes sustainable development.
Keywords: Consensus initiative, cascading failure, multi-agent, swarm intelligence self-organization, supply chain regulation.
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Citation: Wang, H. and Zhao, G. (2026). Collaborative Control Strategy of Manufacturing Supply Chain Based on Multi-agent Swarm Intelligence Self-Organization. Journal of Engineering, Project, and Production Management, 16(4), 2025-274.
