基于CPSO算法的钢结构企业多项目管理系统的研究与设计

发布时间：2019-05-12 03:43

【摘要】：钢结构是近年来快速发展起来的,是国家绿色建筑的新兴代表。国民经济的快速发展也推动着钢结构企业走向更广阔的天地。同时,这也对钢结构企业提出了更高的要求,企业要适应时代的变化获得更大的效益,就必须把管理放在首位。钢结构企业竞争的激烈,越来越多的体现在企业管理项目的能力上。企业签订的项目无论是从规模上讲还是从数量上讲都越来越大,各个项目间交融密切,耦合度强,项目间存在资源冲突与时间冲突等诸多问题。想要企业获得综合效益的最大化,对钢结构企业多项目管理问题的研究就显得越来越重要。本文对钢结构企业多项目管理的特点进行了归纳总结,针对多项目管理难度大的问题,指出资源冲突、时间限制以及信息化程度低是造成问题的根源。在解决如何合理分配资源、有效调节各项目工期上,本文提出了应用改进的混沌粒子群算法(CPSO)结合关键链技术进行多项目调度的管理方法。关键链缓冲区的加入使得管理有了更大的灵活性与避险性。混沌粒子群优化算法(CPSO)是在原始公式的基础上,将混沌搜索引入基本粒子群算法中,算法采用分段Logistic混沌映射提高混沌序列的随机性和初值敏感性,并将传统的线性递减惯性权重改进为能够自适应调节的惯性权重,随后在寻优过程中增加早熟处理机制,完善了算法对局部最优解的处理能力。结合工程实际,证明了此方法的有效性。在处理多项目管理信息化的问题上,本文以河北某钢结构公司多项目管理系统的研究为背景,应用统一建模语言(UML)对多项目管理系统进行了需求分析,并设计了系统功能模块以及数据库结构。通过WebService技术建立了基于Java EE(企业级Java应用版本)的多项目管理系统平台,并对系统主要功能的实现进行了说明。本系统能够满足中小企业在项目管理上的需求,可对企业多项目管理系统的软件开发过程进行一定程度的协助和引导。
[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.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F426.92;TP311.52

【参考文献】