Robust Scheduling Optimization of Prefabricated Projects Based on Random Duration of Activities
The three phases of manufacture,transportation,and assembly for assembly projects are studied as a whole,and the scheduling strategy of batch scheduling by category is proposed by considering the scheduling nature of each phase and the interlocking characteristics.Aiming at the scheduling problem of assembly project with random activity duration,a robust scheduling method is adopted to establish a robust scheduling model of integrated manufacture-transportation-assembly construction with project robustness and cost value as the optimization objectives.Based on the scheduling nature,the non-dominated genetic algorithm with elite strategy(NSGA-Ⅱ)is designed to solve the problem.Finally,a real case of assembly project is selected to verify the effectiveness of the algorithm and analyze the experimental results.The results show that by changing the different distribution states of the activity time difference,the robustness of the project can be improved and the cost of resource consumption can be minimized at the same time,which provides a basis for decision makers to formulate the scheduling plan for assembly projects.
random duration of activitiesprefabricated projectrobust schedulingbi-objective optimization
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