建筑施工安全类群管理模式研究——基于潜在类别模型

为了弥补现存＂普适化＂管理模式无法适应个性凸显的施工人力环境的缺陷,提出应充分考量个体特征差异建立类群管理模式（Group Management Model,GMM）。首先,整理归纳相关文献,确定了建筑工人个体素质测评指标及测量量表;然后,利用潜在类别分析方法对收集到的486份有效数据进行统计归类,将建筑工人归纳为＂认知缺陷型＂、＂明知故犯型＂和＂优质型＂3个类群,比例分别为40.96%、36.72%和22.32%。最后,就不同类群的建筑工人提取其潜在特征并进行详细的特征分析并据此制定针对性的管理措施,可为实现施工安全的精细化管理目标、提高制度的有效性和管理效率、降低管理成本提供科学的理论支撑。

Analysis on the Human Errors in Coal Mines based on Ant Clustering Algorithm

The human error mechanism in coal mine safety is analyzed specifically from safety psychological and physiological factors, worker＇ s quality, safety management, safety education, mechanical equipment, and working environment, and also a human error＇ dominant factors classification model playing a great effect on the safety production of coal mine is established with the application of ant clustering algorithm. The experimental results show that management is the key in the human errors of coal mine.

OPTIMAL IMPULSIVE HARVESTING FOR FISH POPULATIONS

In this paper the management model a two-species fishery involving impulsesis investigated by using optimal impulsive control theorem. Optimal impulsive harvesting times andthe corresponding optimal harvesting population levels in different cases are obtained.