Supply chain security evaluation model and index system based on a 5G information system.

Area of Science:

• Systems Engineering
• Network Science
• Supply Chain Management

Background:

• Modern supply chain management is globally adopted, with companies like IBM and Walmart achieving success but facing significant risks.
• Traditional supply chain models need enhancement to address evolving enterprise-supplier relationships and inherent network vulnerabilities.

Purpose of the Study:

• To systematically investigate supply chain network risks using complex network theory.
• To develop a novel framework for evaluating supplier cooperation and development capabilities.
• To propose a supply chain security evaluation model and index system.

Main Methods:

• Application of complex network theory to model supply chain structures.
• Analysis of enterprise-supplier relationship characteristics and development of evaluation indicators.
• Introduction of dynamic propagation theory from complex networks to model risk evolution.
• Development of a supplier's dynamic supply chain risk model.

Main Results:

• A supply chain security evaluation model and index system framework were proposed.
• The study analyzed intercompany business risks and supply chain network evaluation.
• Experimental results demonstrated the influence of global and local reputation values on trust degree, showing convergence based on confidence factors.
• The proposed model exhibited high feasibility in evaluating supply chain risk propagation.

Conclusions:

• The complex network approach provides a robust framework for understanding and managing supply chain risks.
• Evaluating supplier cooperation and development abilities is crucial for enhancing supply chain resilience.
• The developed dynamic risk propagation model offers insights into how risks evolve within supply chain networks.
• The proposed security evaluation model is feasible and effective for practical application in supply chain management.