Abstract
Construction duration and schedule robustness are of great importance to ensure efficient construction. However, the current literature has neglected the importance of schedule robustness. Relatively little attention has been paid to schedule robustness via deviation of an activity’s starting time, which does not consider schedule robustness via structural deviation caused by the logical relationships among activities. This leads to a possibility of deviation between the planned schedule and the actual situation. Thus, an optimization model of construction duration and schedule robustness is proposed to solve this problem. Firstly, duration and two robustness criteria including starting time deviation and structural deviation were selected as the optimization objectives. Secondly, critical chain method and starting time criticality (STC) method were adopted to allocate buffers to the schedule in order to generate alternative schedules for optimization. Thirdly, hybrid grey wolf optimizer with sine cosine algorithm (HGWOSCA) was proposed to solve the optimization model. The movement directions and speed of grey wolf optimizer (GWO) was improved by sine cosine algorithm (SCA) so that the algorithm’s performance of convergence, diversity, accuracy, and distribution improved. Finally, an underground power station in China was used for a case study, by which the applicability and advantages of the proposed model were proved.
Highlights
Effective schedule management is becoming increasingly significant because of its social and economic benefits
Optimization is an important issue in schedule management. Both construction duration and schedule robustness, the latter of which is the schedule’s ability to resist duration increases due to interference, are necessary to be taken as the optimization objectives
The aim of this research is to propose a novel optimization model of construction duration and schedule robustness based on a hybrid grey wolf optimizer with the sine cosine algorithm (HGWOSCA), which can be divided into three detailed points: 1
Summary
Effective schedule management is becoming increasingly significant because of its social and economic benefits. Optimization is an important issue in schedule management. Both construction duration and schedule robustness, the latter of which is the schedule’s ability to resist duration increases due to interference, are necessary to be taken as the optimization objectives. Schedule robustness is rarely considered as an optimization objective in current research, which causes deviations between the actual schedule and the planned one. It is necessary to conduct optimization of construction duration and schedule robustness. The basics of optimization is to determine objectives. Besides the objective of construction duration, it is necessary to determine appropriate robustness criteria as optimization objectives. A few general robustness criteria have been defined to measure schedule robustness, including the summation of each activity’s free float [1], ratio of each activity’s free float and duration [2,3], linear weighted summation of the total free float [4], and linear weighted summation of the time deviations [5]
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