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基于拍賣理論與多代理系統(tǒng)的分散式資源受限多項目調(diào)度優(yōu)化研究

發(fā)布時間:2018-10-14 15:07
【摘要】:項目管理是第二次世界大戰(zhàn)后期發(fā)展起來的新管理技術(shù)之一,隨著世界經(jīng)濟的發(fā)展,組織規(guī)模的擴大,在一系列項目管理大師的推動下,項目管理已經(jīng)成為現(xiàn)代管理學(xué)中的重要組成部分。項目調(diào)度作為項目管理下的一個分支,自20世紀60年代(關(guān)鍵路徑法的誕生)至今,對單項目調(diào)度的研究已經(jīng)逐漸豐富完善,在現(xiàn)實中也有較多豐富的應(yīng)用,而多項目調(diào)度在現(xiàn)實中常有應(yīng)用,在研究領(lǐng)域則研究較少?紤]到現(xiàn)實中多項目環(huán)境的實際情況(項目各有調(diào)度細節(jié)并共享部分資源),本文以分散式資源受限多項目調(diào)度為研究對象,基于拍賣理論建立多代理系統(tǒng)模型研究多項目并行調(diào)度問題。本文的研究內(nèi)容可分三個部分。第一部分研究考慮多模式單目標的多項目調(diào)度問題,在該問題中,本文將考慮六種屬性的資源,包括本地可更新資源、本地不可更新資源、全局共享可更新資源、全局共享不可更新資源、全局專屬可更新資源以及全局專屬不可更新資源,并使用簡單案例對所建立的算法體系進行驗證。第二部分研究單模式多目標的多項目調(diào)度問題,以本地/全局可更新資源為例,將關(guān)鍵鏈方法與多代理系統(tǒng)模型相結(jié)合,使用拍賣理論解決資源沖突問題,并使用復(fù)雜案例對所建立算法體系進行驗證。第三部分研究將進一步擴展本文所提方法的應(yīng)用范圍,討論多代理系統(tǒng)與拍賣理論相結(jié)合,在更現(xiàn)實和廣泛的多項目調(diào)度環(huán)境中的應(yīng)用,并使用簡單案例進行闡述。本文主要研究分散式資源受限多項目調(diào)度問題,主張在分散式環(huán)境下,建立和利用內(nèi)部競爭機制,以達到兼顧各方利益的目的,從而實現(xiàn)資源在多項目調(diào)度中的優(yōu)化配置。本文通過多代理系統(tǒng)建立基本架構(gòu),通過拍賣理論建立和解決競爭機制,描述了在不同多項目環(huán)境下如何具體建立求解模型,對多項目調(diào)度領(lǐng)域的研究和實踐有積極的推動意義。
[Abstract]:Project management is one of the new management techniques developed in the late World War II. With the development of the world economy and the expansion of the scale of the organization, it is promoted by a series of project management masters. Project management has become an important part of modern management. Project scheduling as a branch of project management, since the 1960s (the birth of the critical path method), the study of single project scheduling has been gradually enriched and perfected, and there are also a lot of rich applications in reality. However, multi-project scheduling is often applied in reality, but it is less studied in the field of research. Considering the actual situation of multi-project environment (each project has scheduling details and sharing part of resources), this paper takes decentralized resource-constrained multi-project scheduling as the research object. A multi-agent system model based on auction theory is established to study the multi-project parallel scheduling problem. The research content of this paper can be divided into three parts. In the first part, we consider the multi-project scheduling problem with multi-mode, single-objective and multi-mode. In this problem, we will consider six kinds of attribute resources, including local renewable resources, local non-renewable resources, global shared renewable resources. The global shared non-renewable resources, global exclusive renewable resources and global exclusive non-renewable resources are used to verify the proposed algorithm. In the second part, the multi-project scheduling problem with single mode and multi-objective is studied. Taking the local / global renewable resources as an example, the key chain method is combined with the multi-agent system model, and the auction theory is used to solve the resource conflict problem. A complex case is used to verify the proposed algorithm. The third part of the study will further expand the scope of application of the method proposed in this paper, discuss the combination of multi-agent system and auction theory, in a more realistic and extensive multi-project scheduling environment, and use a simple case to illustrate. In this paper, we mainly study the decentralized resource constrained multi-project scheduling problem, and advocate the establishment and utilization of the internal competition mechanism in the decentralized environment, so as to achieve the purpose of taking into account the interests of all parties, and thus realize the optimal allocation of resources in the multi-project scheduling. In this paper, the basic framework of multi-agent system is established, and the mechanism of competition is established and resolved by auction theory, and how to build the solution model in different multi-project environment is described. It has positive significance to the research and practice of multi-project scheduling.
【學(xué)位授予單位】:南京理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F713.359

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