###
DOI:
计算机系统应用英文版:2013,22(12):13-18,38
本文二维码信息
码上扫一扫!
IT项目进度计划风险量化预测方法
(1.内蒙古财经大学 计算机信息管理学院, 呼和浩特 010070;2.内蒙古财经大学 网络中心, 呼和浩特 010070;3.中央财政金融大学 信息学院, 北京 102206)
Quantification Prediction Method of Production Developement Schedule Risk
(1.Computer Information Management College, Inner Mongolia University of Finance and Economics, Hohhot 010070, China;2.Department of Network Information Center, Inner Mongolia University of Finance and Economics, Hohhot 010070, China;3.Information College, Central University of Finance and Economics, Beijing 102206, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1618次   下载 4116
Received:May 20, 2013    Revised:June 27, 2013
中文摘要: 针对IT项目进度基线定义质量普遍偏低的问题,提出了一种资源约束条件下基于蒙特卡洛模拟的进度风险量化评估方法. 首先,考虑资源对进度的限制问题,提出资源约束条件下的活动历时抽样方法;其次,提出在活动历时随机变化情况下,项目关键路径动态识别方法,研究项目工期概率分布问题. 最后,通过实例表明,资源约束条件下的蒙特卡洛模拟方法,能够有效地评估IT项目中的进度风险,辅助项目决策.
Abstract:Given the generally low quality of Production Development schedule baseline definition, an evaluation method of project schedule risk quantification based on Monte Carlo simulation under the conditions of resource constraints is proposed. Firstly, considering the resource constraints on the progress, an activity duration sampling method under resource constraints is proposed. Secondly, to study the probability distribution of project duration, a method to recognize the critical path to a project dynamically is proposed under the random change in the activity duration. Finally, examples will show that Monte Carlo simulation methods under resource constraints can assess the progress risk of IT project effectively and support the project decision-making.
文章编号:     中图分类号:    文献标志码:
基金项目:内蒙古自然科学基金(2010MS1011)
引用文本:
张丽君,赵俊岚,郭树行.IT项目进度计划风险量化预测方法.计算机系统应用,2013,22(12):13-18,38
ZHANG Li-Jun,ZHAO Jun-Lan,GUO Shu-Hang.Quantification Prediction Method of Production Developement Schedule Risk.COMPUTER SYSTEMS APPLICATIONS,2013,22(12):13-18,38