摘要
项目进度计划的鲁棒性对于不确定条件下项目的顺利实施具有重要影响.作者研究具有随机活动工期的资源约束项目鲁棒性调度问题,目标是在可更新资源和项目工期约束下安排活动的开始时间,以实现项目进度计划鲁棒性的最大化.首先对所研究问题进行界定并用一个示例对其进行说明.随后构建问题的优化模型,设计禁忌搜索、多重迭代和随机生成三种启发式算法.最后在随机生成的标准算例集合上对算法进行测试,分析项目活动数、项目工期和资源强度等参数对算法绩效的影响,并用一个算例对研究进行说明,得到如下结论:禁忌搜索的满意解质量明显高于其他两种算法;当资源强度或项目工期增大时,平均目标函数值上升,禁忌搜索的求解优势增强.研究结果可为不确定条件下项目进度计划的制定提供决策支持.
The robustness of project schedule plays an important role for the smooth execution of project under uncertain conditions. The authors studied the resource-constrained project robust scheduling prob- lem with random duration of activities. The objective was to arrange the start time of activities so as to maximize the robustness of project schedule under the constraints of renewable resources and project duration. The studied problem was identified and illustrated by using an example at first. Then the opti- mization model was constructed and three heuristic algorithms, including tabu search, multiple iteration, and random generation, were developed. Ultimately, the algorithms were tested on a standard instance set generated randomly. The influences of activity number, project duration, and resource strength on the algorithms＇ performance were analyzed. An instance was utilized to illustrate the research in the paper and the following conclusions were drawn： The solution quality of the tabu search is remarkably higher than that of the other two algorithms; as the resource strength or the project duration increase, the average value of objective function climbs and the quality advantage of the desirable solution of the tabu search augments. The research in this paper can provide decision supports for the preparation of project schedule under uncertain conditions.
出处
《系统工程理论与实践》
EI
CSSCI
CSCD
北大核心
2013年第3期650-659,共10页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(70971105)
陕西省自然科学基金(2009JM9001)
中央高校基本科研业务费专项资金
关键词
资源约束项目调度
优化模型
启发式算法
随机活动工期
鲁棒性
resource-constrained project scheduling
optimization model
heuristic algorithm
randomduration of activities
robustness
作者简介
何正文（1967～），副教授，博士，研究方向：项目管理及优化，E—maihzhengwenhe@mail．xjtu．edu．cn
