基于CPSO算法的鋼結(jié)構(gòu)企業(yè)多項(xiàng)目管理系統(tǒng)的研究與設(shè)計
[Abstract]:Steel structure has been developed rapidly in recent years, and it is a new representative of national green building. The rapid development of the national economy also promotes the steel structure enterprises to move towards a wider world. At the same time, it also puts forward higher requirements for steel structure enterprises. In order to adapt to the changes of the times and obtain greater benefits, enterprises must put management in the first place. The fierce competition of steel structure enterprises is more and more reflected in the ability of enterprises to manage projects. The projects signed by enterprises are more and more large both in scale and in quantity. There are many problems such as resource conflict and time conflict between projects, such as close intermingling, strong coupling and so on. In order to maximize the comprehensive benefit of enterprises, the research on multi-project management of steel structure enterprises is becoming more and more important. In this paper, the characteristics of multi-project management in steel structure enterprises are summarized. Aiming at the difficult problems of multi-project management, it is pointed out that resource conflict, time limit and low degree of informatization are the root causes of the problem. In order to solve the problem of how to allocate resources reasonably and adjust the duration of each project effectively, this paper proposes an improved chaotic particle swarm optimization algorithm (CPSO) combined with critical chain technology for multi-project scheduling management. The addition of critical chain buffer makes management more flexible and safe. Chaotic particle swarm optimization algorithm (CPSO) is based on the original formula, chaotic search is introduced into the basic particle swarm optimization algorithm, the algorithm uses piecewise Logistic chaotic mapping to improve the randomness and initial value sensitivity of chaotic sequences. The traditional linear decreasing inertia weight is improved to the inertia weight which can be adjusted adaptively, then the premature processing mechanism is added in the optimization process, and the processing ability of the algorithm to the local optimal solution is improved. Combined with engineering practice, the effectiveness of this method is proved. In dealing with the problem of multi-project management informatization, this paper takes the research of multi-project management system of a steel structure company in Hebei as the background, and analyzes the requirements of the multi-project management system by using the Unified Modeling language (UML). And designed the system function module and the database structure. Through WebService technology, a multi-project management system platform based on Java EE (enterprise Java application version is established, and the realization of the main functions of the system is explained. This system can meet the needs of small and medium-sized enterprises in project management, and can assist and guide the software development process of enterprise multi-project management system to a certain extent.
【學(xué)位授予單位】:河北工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:F426.92;TP311.52
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