大型建设项目标段团队知识学习矩阵构建及仿真研究

发布时间：2018-07-08 19:02

本文选题：大型建设项目 + 标段团队　；参考：《长沙理工大学》2014年硕士论文

【摘要】：随着建设项目管理日趋复杂,对于知识学习以及团队知识学习能力的要求越来越高,知识学习已成为提高团队效率的基本手段。在工程项目建设中,标段团队的知识学习面临着员工学习意识不强、知识挖掘力度不够、学习利用率不高等问题。在此背景下,有必要对建设项目标段团队知识学习作深入的研究。本文首先在广泛查阅国内外相关文献及研究成果基础上,界定了大型建设项目标段团队的涵义,从知识源嵌入原理、知识链衔接原理、知识群融合原理、知识地图偏移原理角度对标段团队的知识学习原理进行了阐述,对标段团队知识学习作了深入的分析；其次,通过对波士顿矩阵的内涵、’基本流程分析,结合标段团队知识学习特性,构建了三种不同的学习矩阵,即Explicit/implicit-Complexity、 Forgetting-Learning、Aging-Cycle;此外,在深入分析标段团队知识多Agent学习原理基础上,阐述了多Agent学习流程,并对马尔可夫博弈的相关理论进行阐述,以此来构建了标段团队知识马尔可夫博弈的多Agent学习算法,并进行了算法仿真,证明了算法的收敛性。同时根据仿真实验模拟结果分析,结合标段团队知识学习要素,提出了大型建设项目标段团队知识学习的建议和措施。本文将知识多Agent学习机理以及马尔可夫博弈模型运用到大型建设项目标段团队知识学习研究中,构建了标段团队知识学习矩阵,是对团队学习一次新的尝试研究,试图对大型建设项目标段团队知识学习有一定的借鉴作用。
[Abstract]:With the increasing complexity of construction project management, the requirement of knowledge learning and team knowledge learning ability is becoming higher and higher. Knowledge learning has become the basic means to improve team efficiency. In the construction of engineering projects, the knowledge learning of segment teams is faced with the problems of weak learning consciousness, insufficient knowledge mining and low learning utilization. In this context, it is necessary to do in-depth research on the construction project segment team knowledge learning. First of all, based on the extensive reference to relevant literature and research results at home and abroad, this paper defines the meaning of the large construction project segment team, from the knowledge source embedding principle, knowledge chain linking principle, knowledge group fusion principle, The knowledge learning principle of segment team is expounded from the angle of knowledge map deviation principle, and the knowledge learning principle of segment team is deeply analyzed. Secondly, through the analysis of the connotation of Boston matrix, the basic process is analyzed. Based on the characteristics of segment team knowledge learning, three different learning matrices are constructed, which are explicit / implicit-Complexity, Forgetting-Learningning-Aging-Cycle. In addition, on the basis of in-depth analysis of the principle of multi-Agent learning of segment team knowledge, this paper expounds the process of multi-Agent learning. The related theory of Markov game is expounded to construct the multi-Agent learning algorithm of Markovian game of segment team knowledge, and the algorithm simulation is carried out to prove the convergence of the algorithm. At the same time, according to the analysis of simulation results, combined with the elements of segment team knowledge learning, the paper puts forward some suggestions and measures for large-scale construction project. In this paper, the mechanism of multi-knowledge Agent learning and Markov game model are applied to the study of team knowledge learning in large scale construction projects, and the matrix of knowledge learning of segment teams is constructed, which is a new attempt to study team learning. This paper attempts to provide some reference for the team knowledge learning in large scale construction projects.
【学位授予单位】：长沙理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.92;F272.92

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