Resilience Assessment Method for Air Defense Kill Web Based on System Dynamics Model

In complex battlefield environments, quantifying resilience assessment remains a challenging issue for air defense kill webs. Existing research lacks modeling capabilities for the dynamic evolution mechanisms of operational processes, resulting in deviations between evaluation outcomes and actual battlefield resilience performance. To address this deficiency, this paper proposes a resilience assessment method for kill webs based on system dynamics modeling. We construct an operational evolution model incorporating target tracking, resource status, and task allocation, conducting comparative analyses of system recovery capabilities between pre-deployed backup strategies and non-backup strategies. The study demonstrates that predeployed backup strategies can significantly enhance system disturbance resistance capability in resource-damage scenarios through redundant resource pre-positioning and dynamic task reorganization mechanisms. Furthermore, the triggering timing of backup strategies and resource scheduling priorities directly influence the performance recovery speed during the restoration phase. This research provides a novel assessment framework and theoretical insights for improving the resilience of air defense systems.

Authors

Institutions

Publication Details

Published
2025-04-12
DOI
https://doi.org/10.1109/isssr65654.2025.00056
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resilience Assessment Method for Air Defense Kill Web Based on System Dynamics Model

Liuchang Shen, Xiaopan Zhang, Zewen Chen
Risk and Safety Analysis
article

Resilience Assessment Method for Air Defense Kill Web Based on System Dynamics Model

Liuchang Shen, Xiaopan Zhang, Zewen Chen
article en

Abstract

In complex battlefield environments, quantifying resilience assessment remains a challenging issue for air defense kill webs. Existing research lacks modeling capabilities for the dynamic evolution mechanisms of operational processes, resulting in deviations between evaluation outcomes and actual battlefield resilience performance. To address this deficiency, this paper proposes a resilience assessment method for kill webs based on system dynamics modeling. We construct an operational evolution model incorporating target tracking, resource status, and task allocation, conducting comparative analyses of system recovery capabilities between pre-deployed backup strategies and non-backup strategies. The study demonstrates that predeployed backup strategies can significantly enhance system disturbance resistance capability in resource-damage scenarios through redundant resource pre-positioning and dynamic task reorganization mechanisms. Furthermore, the triggering timing of backup strategies and resource scheduling priorities directly influence the performance recovery speed during the restoration phase. This research provides a novel assessment framework and theoretical insights for improving the resilience of air defense systems.

Wuhan University of Technology (CN)
Climate action
Openalex Percentile: Top 87%
Risk and Safety Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Resilience Assessment Method for Air Defense Kill Web Based on System Dynamics Model — Liuchang Shen, Xiaopan Zhang, et al. · (2025) | TGRS Research Map | TGRS