Simulation of Chinese Coal Mine Safety Supervision System Performance Based on Netlogo Platform
Coal mine safety supervision efficiency is a complex system output affected by multiple factors. This paper constructs the agent model of a coal mine safety supervision system with multi-agent modeling and investigates a simulation system based on Netlogo. The decision mechanism of coal mine safety supervision performance is analyzed by observing dynamic changes of the supervision activities, system risks, and success rate of processing violations. Values of input variables, such as the scale and characteristics of violation agent, decision support, functional cooperation, and supervisory power are altered to conduct theoretical research on coal mine safety management. Limitations and further improvements in the simulation system are summarized.
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Document Type: Research Article
Affiliations: School of Management, China University of Mining and Technology, Xu Zhou, Jiang Su, China
Publication date: August 1, 2016
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