A Computable Mine Safety Supervision (CMSS) model is constructed based on agent-based modeling and simulation (ABMS) technology and the conservation of resources (COR). This model aims to solve the mining safety problems involved with illegal mining operations and burnout among mining supervisors, in China. The model includes several types of agents: supervision agents, decision support agents, functional coordination agents, and miner agents, and it uses the Netlogo simulation platform to simulate the influence of reward and punishment on agent behavior. The simulation determines the decision support degree to gauge the influence of functional coordination and miner behavior on the burnout rate of supervision agents. We analyze the macroscopic emergence law of the simulation results. The results show the following: (1) Job Situation Adaptability (JSA) ∈ [−6.02, 2.64] ∪ [16.9, 21.93], which uses a reward strategy to guide miners to choose safe behavior and (2) JSA ∈ [2.64, 16.9], which uses a punishment strategy to restrict unsafe behavior. The decision support coefficient Sc has the greatest influence on the supervision agent’s job burnout. The functional coordination coefficient Fc has the second highest influence on job burnout and the processing effectiveness coefficient Ec has the least influence. According to the simulation results, suggestions for improving the mine safety supervision system are put forward and an improved safety management decision-making basis for reducing mine accidents is provided.
This paper established the mathematical model of Logistics distribution routing problem,and departed the multiple vehicle routing problem into a single vehicle distribution problem with the save mileage method ,then the ant colony algorithm were used to optimize the single vehicle distribution problem. Finally through a case shows that the model for the practical application of logistics distribution has certain reference significance.
This paper establishes an enterprise information system configuration management model based on graph theory. Comb all nodes support enterprise information systems for the application system, host, operating system, middleware, database, applications, a database instance, network devices, storage devices, virtual host, virtual platform,11 kinds of configuration items. And sort out the relationships between them to no effect, no effect of virtual relationship, positive impact, positive impact of virtual relationships, reverse impact, reverse impact of virtual relations,6 kinds of relationships. All configurations supporting enterprise information systems and the relationships of them is seen as a weighted digraph. Then the weighted digraph is represented as an edge weight matrix. The edge weight matrix of a particular application system configuration relationships graph is solved according to the edge weight matrix of global configuration relationships graph, Help Operations staff clearly identify the composition of the information systems. The edge weight matrix of the impact of a change on a configuration item is solved according to the edge weight matrix of global configuration relationships graph. Provides a valuable reference views to operations staff when they repair a configuration.
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