Control and Backbone Identification for the Resilient Recovery of a Supply Network Utilizing Outer Synchronization
Source abstract
Abstract
The control and measurement for resilient recovery is important for a supply network facing disruption. Outer synchronization is useful for the supply network to recover to its scheduled state. In this paper, a dynamic model for a supply network is established, and measurement with memory of resilient recovery is proposed based on outer synchronization. An impulsive controller is designed to improve the control effectiveness. Afterwards, an algorithm is adopted to identify the resilient recovery backbone. Based on these factors, an efficient resilient recovery method considering cost is applied in the case study. This study improves the measurement and control of the supply network’s resilient recovery through outer synchronization, and is easily integrated with practical problems to make better control decisions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Infrastructure Resilience and Vulnerability Analysis · Supply Chain Resilience and Risk Management · Network Security and Intrusion Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Science, Hubei University of Technology, Wuhan 430068, China
School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
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