多项目关键链柔性资源配置模型及其算法研究

发布时间：2018-02-10 02:56

  本文关键词： 多项目 柔性资源配置 学习效应 云模型 混合量子粒子群算法　出处：《湖南大学》2015年博士论文　论文类型：学位论文

【摘要】：项目管理已成为一种有效管理技术和管理方式并越来越得到企业广泛应用,同时其研究及实践重心也开始从原来单项目管理向多项目管理转化。多项目管理被认为是21世纪一种全新管理方法而日益被企业所青睐。随着多项目管理理论与方法而日益发展,目前多项目资源配置特别是多项目关键链柔性资源配置显得更加重要并成为多项目管理领域研究热点。本文从项目族视角,以多项目关键链柔性资源配置为研究对象应用粒计算、云模型以及混合量子粒子群算法等理论和方法对多项目关键链柔性资源配置参数、多项目关键链柔性资源配置模型、多项目关键链柔性资源配置算法以及其鲁棒性等问题深入研究,论文主要研究内容、研究成果及其创新点包含如下几个方面:从项目族视角,在多项目管理理论与方法以及工作分解结构研究基础上构建多项目工作分解结构GWBS模型;然后通过多项目关键链柔性资源理论研究在GWBS模型上构建了多项目关键链柔性资源GBOR模型;GWBS模型以及GBOR模型的提出有效提高了柔性资源配置效率以及多项目管理水平;应用不确定性粒计算方法对多项目关键链柔性资源配置进行具体分析研究:基于模糊粗糙集的多项目关键链柔性资源配置,基于信息熵粗糙集的多项目关键链柔性资源配置,基于可调变精度粗糙集的多项目关键链柔性资源配置;同时提出了多项目关键链柔性资源属性定量测定方法;该研究成果可为多项目关键链柔性资源有效配置提供科学依据。在对多项目关键链柔性资源GBOR研究基础上设计了多项目关键链柔性资源参数及柔性资源缓冲,为多项目关键链柔性资源定量配置提供了条件;同时对多项目关键链柔性资源资源熵进行定量测定;论文在云模型基础上构建基于高斯分布的云模型,在基于云模型的多项目关键链柔性资源属性研究基础上应用高斯云模型对多项目关键链进行定量识别和测定研究,该研究成果为多项目关键链柔性资源有效配置提供前提条件以及重要基础。通过多项目理论与方法、关键链理论、多项目资源配置理论研究,在多项目关键链柔性资源配置问题及其特征参数研究基础上构建了基于多属性的多项目关键链柔性资源配置模型;同时在以上研究基础上应用学习效应理论构建了基于学习效应的多项目关键链柔性资源配置模型:基于Wright学习效应的多项目关键链柔性资源配置模型;基于Richard学习效应的多项目关键链柔性资源配置模型;基于Dejong学习效应的多项目关键链柔性资源配置模型以及基于混合学习算法的多项目关键链柔性资源配置模型并对其算例分析;该研究成果为多项目关键链柔性资源有效配置提供了理论基础以及实践依据。在区间优化算法理论、粒子群算法以及量子算法研究基础上提出了多目标区间粒子群算法以及基于云模型的混合量子粒子群算法;同时应用混合量子粒子群算法对多项目关键链柔性配置进行研究;在研究过程中结合多项目案例集进行资源配置仿真实验;然后对多项目关键链柔性资源配置模型及其算法进行鲁棒性研究;该研究成果可为多项目关键链柔性资源有效配置提供科学实现方法和实现条件,并且该研究成果能为多项目关键链柔性资源配置提供有效鲁棒性控制方法以及管理建议。本文研究既具有一定的理论价值又具有较强的现实意义,其研究价值主要体现在以下方面:通过多项目管理理论和方法研究基础上提出了GWBS模型以及GBOR模型为多项目关键链柔性资源有效配置提供了新的视角;通过多项目关键链柔性资源配置问题及其配置深入研究基础上构建了多项目关键链柔性资源配置理论模型为解决多项目关键链柔性资源配置问题提供了新的研究思路及新的理论基础;最后通过多项目关键链柔性资源配置新算法设计及其鲁棒性研究有效、科学地解决了多项目关键链柔性资源配置问题。
[Abstract]:Project management has become a kind of effective management technology and management mode is more and more widely used by enterprises, and its research and practice center also began to change from the original single project management to multi project management. Project management is a new management method in twenty-first Century and are increasingly being favored by enterprises. With the development of the theory and method of multi project management and development of the multi project resource allocation especially multi project critical chain flexible allocation of resources becomes more and more important and become a hot research field of multi project management. This article from the project group perspective, calculated by the multi project critical chain flexible allocation of resources as the research object on the application of particle, flexible critical chain multi project resource allocation model and cloud parameters hybrid quantum particle swarm algorithm and the theory and methods of flexible resource allocation model of critical chain multi project, multi project resource allocation algorithm and flexible critical chain The in-depth study of the robustness of the problem, the main research contents, research achievements and innovations are as follows: from the perspective of project group, construction projects in the theory and method of multi project management and work breakdown structure on the basis of the research work breakdown structure GWBS model; and then through the critical chain multi project resource flexibility theory research in GWBS model on the construction of multi project critical chain flexible resource GBOR model; GWBS model and GBOR model can effectively improve the efficiency of resource allocation and flexible multi project management level; the application of uncertainty particle calculation method of specific analysis of critical chain multi project resource allocation: flexible critical chain multi project fuzzy rough sets based on flexible resource allocation multi project critical chain, information entropy of rough set based on flexible resource allocation, multi project critical chain variable precision rough set based on flexible The allocation of resources; at the same time put forward the key chain flexible resource attribute quantitative determination method of multi project; the results of the study can provide scientific basis for the effective allocation of resources. The flexible critical chain multi project based on critical chain multi project resource GBOR research on the design of the flexible Critical Chain Project flexible resource parameters and flexible resource buffer, provide conditions for critical chain multi project resource allocation and flexible quantitative; quantitative determination of critical chain multi project flexible resource entropy; the cloud model based on Gauss distribution based on cloud model, based on critical chain multi project cloud model research on the application of flexible resource attribute Gauss cloud model research and quantitative analysis to identify the key the chain of multi project based on the results of the study provide important basis and prerequisite for the efficient allocation of resources. The flexible critical chain multi project by project theory and Method, critical chain theory, the theory of multi project resource allocation, on the basis of critical chain multi project flexible allocation of resources and the characteristic parameters on the construction of multi project critical chain multi attribute flexible resource allocation model based on the research above; construct the multi project critical chain and the learning effect of flexible resource allocation model based on learning effect theory based on the application of critical chain multi project Wright learning effect of the flexible resource allocation model based on critical chain multi project; Richard learning effect of the flexible resource allocation model based on Dejong learning; flexible critical chain multi project resource allocation model effect and multi project critical chain hybrid learning algorithm of flexible resource allocation model based on the calculation and analysis based on the research results; provide theoretical basis and practical basis for the effective allocation of critical chain multi project. In flexible resource region The theory of optimization, particle swarm algorithm and quantum algorithm is proposed based on the multi-objective interval particle swarm algorithm and quantum particle swarm algorithm based on hybrid cloud model; at the same time the application of hybrid quantum particle swarm algorithm research on multi project critical chain multi project with flexible configuration; in the process of researching in case of resource allocation simulation then; robustness research on critical chain multi project flexible resource allocation model and algorithm; the results of the study can provide scientific implementation methods and conditions for the effective allocation of critical chain multi project resource flexibility, and the research results can provide effective robust control methods and management suggestions for critical chain multi project flexible allocation of resources in this paper. The research has both theoretical value and practical significance, its research value is mainly reflected in the following aspects: through a number of Based on project management theory and method research on the proposed GWBS model and the GBOR model for the effective allocation of multi project critical chain flexible resource provides a new perspective; through the foundation to further study the problem of critical chain multi project resource allocation and flexible configuration to construct a multi project critical chain flexible resource allocation model provides a new research method and a new theoretical basis for solving the resource allocation problem of flexible critical chain multi project; finally through the critical chain project on new algorithm design and robust configuration of flexible resource effectively, scientifically solved the key problems of multi project resource allocation chain flexibility.

【学位授予单位】：湖南大学
【学位级别】：博士
【学位授予年份】：2015
【分类号】：F273;F224
，

本文编号：1499494