基于改进灰色关键链的多项目资源配置研究

发布时间：2018-06-26 20:43

本文选题：灰色预测 + 关键链　；参考：《华东交通大学》2017年硕士论文

【摘要】：多项目并行下对资源配置的要求更高,企业因为资源配置不合理导致工期延后的状况十分常见,本文针对多项目并行出现的资源冲突、资源配置不合理以及传统的CPM、PERT方法已经无法满足多项目管理需要的问题,将关键链方法运用到多项目管理中,同时考虑资源约束和工序逻辑约束,以弥补传统进度管理方法的不足。针对关键链缓冲区传统方法“剪贴法”和“根方差法”的不足,运用GM(1,1)模型对工序持续时间进行估计,将GM(1,1)模型引入到缓冲区设置中,同时综合考虑工序资源使用紧张程度、工序所在链路复杂度以及风险偏好水平三个影响因素对缓冲区大小计算方式进行改进。通过算例验证了灰色预测模型对工序持续时间估计的可行性,并给出基于灰色预测的缓冲区大小计算方法。通过分析各项目资源需求状况及工序约束情况,利用ACTIM值法识别项目的初始关键链,在识别出关键链基础上,建立多项目关键链组合以及多项目资源配置模型,并通过遗传算法进行求解,得出多项目总工期最小值以及资源利用水平。通过分析优化前后的工期以及资源供应状况,证明了改进灰色关键链下对多项目资源配置更加合理,并且得出各资源在工期内对各个项目的供应量。为项目管理人员制定资源配置计划提供一定的参考依据,有效地提高管理效率。
[Abstract]:Under the condition of multi-project parallelism, the requirement of resource allocation is higher, and it is very common for enterprises to delay the time limit because of unreasonable resource allocation. The resource allocation is unreasonable and the traditional CPMPERT method can no longer meet the needs of multi-project management. The key chain method is applied to the multi-project management, and the resource constraints and process logic constraints are taken into account at the same time. In order to make up for the shortcomings of the traditional schedule management method. In view of the shortcomings of the traditional "clipping method" and "root variance method" in the critical chain buffer, GM (1K1) model is used to estimate the duration of the process, and the GM (1K1) model is introduced into the buffer zone setting, and the shortage of working procedure resources is considered synthetically. There are three factors that affect the link complexity and risk preference level to improve the buffer size calculation. An example is given to verify the feasibility of the grey prediction model for estimating the duration of the process, and a method for calculating the buffer size based on the grey prediction is given. By analyzing the resource requirements and process constraints of each project, the ACTIM value method is used to identify the initial key chain of the project. On the basis of identifying the key chain, the multi-project key chain combination and the multi-project resource allocation model are established. The minimum time limit and the level of resource utilization are obtained by genetic algorithm. By analyzing the time limit and resource supply situation before and after optimization, it is proved that the improved grey key chain is more reasonable for multi-project resource allocation, and the supply of each resource to each project within the time limit is obtained. It provides a reference for project managers to make resource allocation plans and effectively improves management efficiency.
【学位授予单位】：华东交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU722

【参考文献】