本文關鍵詞： 多項目 柔性資源配置 學習效應 云模型 混合量子粒子群算法　出處：《湖南大學》2015年博士論文　論文類型：學位論文

【摘要】：項目管理已成為一種有效管理技術和管理方式并越來越得到企業(yè)廣泛應用,同時其研究及實踐重心也開始從原來單項目管理向多項目管理轉(zhuǎn)化。多項目管理被認為是21世紀一種全新管理方法而日益被企業(yè)所青睞。隨著多項目管理理論與方法而日益發(fā)展,目前多項目資源配置特別是多項目關鍵鏈柔性資源配置顯得更加重要并成為多項目管理領域研究熱點。本文從項目族視角,以多項目關鍵鏈柔性資源配置為研究對象應用粒計算、云模型以及混合量子粒子群算法等理論和方法對多項目關鍵鏈柔性資源配置參數(shù)、多項目關鍵鏈柔性資源配置模型、多項目關鍵鏈柔性資源配置算法以及其魯棒性等問題深入研究,論文主要研究內(nèi)容、研究成果及其創(chuàng)新點包含如下幾個方面:從項目族視角,在多項目管理理論與方法以及工作分解結構研究基礎上構建多項目工作分解結構GWBS模型;然后通過多項目關鍵鏈柔性資源理論研究在GWBS模型上構建了多項目關鍵鏈柔性資源GBOR模型;GWBS模型以及GBOR模型的提出有效提高了柔性資源配置效率以及多項目管理水平;應用不確定性粒計算方法對多項目關鍵鏈柔性資源配置進行具體分析研究:基于模糊粗糙集的多項目關鍵鏈柔性資源配置,基于信息熵粗糙集的多項目關鍵鏈柔性資源配置,基于可調(diào)變精度粗糙集的多項目關鍵鏈柔性資源配置;同時提出了多項目關鍵鏈柔性資源屬性定量測定方法;該研究成果可為多項目關鍵鏈柔性資源有效配置提供科學依據(jù)。在對多項目關鍵鏈柔性資源GBOR研究基礎上設計了多項目關鍵鏈柔性資源參數(shù)及柔性資源緩沖,為多項目關鍵鏈柔性資源定量配置提供了條件;同時對多項目關鍵鏈柔性資源資源熵進行定量測定;論文在云模型基礎上構建基于高斯分布的云模型,在基于云模型的多項目關鍵鏈柔性資源屬性研究基礎上應用高斯云模型對多項目關鍵鏈進行定量識別和測定研究,該研究成果為多項目關鍵鏈柔性資源有效配置提供前提條件以及重要基礎。通過多項目理論與方法、關鍵鏈理論、多項目資源配置理論研究,在多項目關鍵鏈柔性資源配置問題及其特征參數(shù)研究基礎上構建了基于多屬性的多項目關鍵鏈柔性資源配置模型;同時在以上研究基礎上應用學習效應理論構建了基于學習效應的多項目關鍵鏈柔性資源配置模型:基于Wright學習效應的多項目關鍵鏈柔性資源配置模型;基于Richard學習效應的多項目關鍵鏈柔性資源配置模型;基于Dejong學習效應的多項目關鍵鏈柔性資源配置模型以及基于混合學習算法的多項目關鍵鏈柔性資源配置模型并對其算例分析;該研究成果為多項目關鍵鏈柔性資源有效配置提供了理論基礎以及實踐依據(jù)。在區(qū)間優(yōu)化算法理論、粒子群算法以及量子算法研究基礎上提出了多目標區(qū)間粒子群算法以及基于云模型的混合量子粒子群算法;同時應用混合量子粒子群算法對多項目關鍵鏈柔性配置進行研究;在研究過程中結合多項目案例集進行資源配置仿真實驗;然后對多項目關鍵鏈柔性資源配置模型及其算法進行魯棒性研究;該研究成果可為多項目關鍵鏈柔性資源有效配置提供科學實現(xiàn)方法和實現(xiàn)條件,并且該研究成果能為多項目關鍵鏈柔性資源配置提供有效魯棒性控制方法以及管理建議。本文研究既具有一定的理論價值又具有較強的現(xiàn)實意義,其研究價值主要體現(xiàn)在以下方面:通過多項目管理理論和方法研究基礎上提出了GWBS模型以及GBOR模型為多項目關鍵鏈柔性資源有效配置提供了新的視角;通過多項目關鍵鏈柔性資源配置問題及其配置深入研究基礎上構建了多項目關鍵鏈柔性資源配置理論模型為解決多項目關鍵鏈柔性資源配置問題提供了新的研究思路及新的理論基礎;最后通過多項目關鍵鏈柔性資源配置新算法設計及其魯棒性研究有效、科學地解決了多項目關鍵鏈柔性資源配置問題。
[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.

【學位授予單位】：湖南大學
【學位級別】：博士
【學位授予年份】：2015
【分類號】：F273;F224
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本文編號：1499494