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项目活动间的重叠虽然可以缩短项目工期,但也面临着实现重叠以及引起的返工风险等不确定性因素。为了减少活动重叠的不确定性和优化项目活动,深入分析了活动重叠的可实现性,提出了以活动重叠作为研究对象的项目工期计算和质量损失计算模型。首先,在早期信息和完成信息的基础上,分析了活动重叠的实现方式;其次,采用设计结构矩阵的方法,有效地描述活动重叠对返工、工期和质量损失的影响,并构建活动重叠时的计算模型;最后,结合算例,应用遗传算法对项目工期和活动顺序进行优化求解。运算结果表明了模型的有效性,并为项目工期和活动顺序提出了优化方法。
Although the overlap between project activities can shorten the project duration, but also faced with the overlap and the risk of rework caused by other uncertainties. In order to reduce the uncertainty of activity overlapping and optimize the project activity, the feasibility of overlapping activities was analyzed in detail. The project duration calculation and the quality loss calculation model were proposed. First of all, based on the early information and completed information, the paper analyzes the ways to realize the overlap of activities. Secondly, the method of designing the structure matrix is used to describe the effect of overlap of activities on the rework, duration and quality loss effectively. Finally, combined with examples, the genetic algorithm is applied to optimize the project duration and activity sequence. The calculation results show the validity of the model, and propose the optimization method for the project duration and activity sequence.