Robust Scheduling Optimization for Public Health Emergencies Considering Resource Transfer
Resource fluctuation has a great impact on the efficiency and cost of emergency rescue in public health emergencies.This paper studies the protection of the rescue plan from the negative influence of resource fluctuation by resource transfers based on the project plan with resource buffers to minimize the total cost of emergency rescue project.First,the problem studied is identified,and a robust optimization model is constructed with three groups of decision variables.Then,based on the NP-hardness attribute of studied problem and the characteristics of decision variables,a two-layer nested tabu search heuristic algorithm with improvement measures is developed and tested compared with multi-start iteration improvement algorithm.Finally,the effects of the key parameters on the objective of total cost are analyzed.The results show that there exist the trade-off relationships among resource buffer cost,delay cost,and resource transfer cost in the process of rescue schedule optimization.Resource transfers based on the project plan with resource buffers can optimize the resources both inside and outside the project,and improve the efficiency of resources reserve and emergency rescue.
public health emergenciesrobust project schedulingoptimization modelresource transferstabu search algorithm
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