不稳定不确定环境下装备制造企业运营风险级联突变研究OA

Equipment manufacturing enterprises face operational challenges arising from multi-source risk superposition and cascading catastrophe effects under unstable and uncertain environments.This paper,adopting text mining techniques,identifies risk factors and their cascading relationships,and integrates fuzzy cognitive maps with catastrophe theory to construct a cascading catastrophe model of operational risk in equipment manufacturing enterprises.Using the model's inference mechanism and grey relational analysis,simulation studies are conducted to analyze the evolutionary states and control strategies of operational risk in such enterprises.The results show that the structural catastrophe of the operational system state,transitioning from safety to risk,originates from a self-organized phase transition when combinations of internal and external risk variables cross bifurcation thresholds.The system state is more likely to undergo catastrophic shifts under multi-source risk superposition and cascading effects among risk factors,and the correlation strength between each risk factor and the catastrophe varies.The effectiveness and risk mitigation effect of different risk control strategies vary,and although the risk suppression effect increases with the number of control strategies,it exhibits diminishing marginal returns.The optimal combination of risk control strategies is achieved when the marginal increase in risk control cost is balanced with the marginal reduction in expected risk loss.This paper reveals the cascading catastrophe mechanism of operational risk under multi-source risk activation scenarios in equipment manufacturing enterprises,evaluates the effectiveness of risk control strategies and their combinations,and proposes principles for optimizing risk control portfolios,providing theoretical support and strategic guidance for operational risk prevention in equipment manufacturing enterprises.