How to protect the rescue plan from negative influence of resource fluctuation by inserting resource buffers under the constraint of renewable medical resources in public health emergencies,so as to minimize the total cost of emergency rescue project.The studied problem is identified firstly,and then an optimization model with two groups of decision variables is constructed.Based on the NP-hardness attribute of the problem and the characteristics of the decision variables,a two-layer nested tabu search heuristic algorithm is developed.Moreover,the multi-start iteration improve-ment and random generation algorithms is adopted as benchmark and tested the three algorithms on a set of randomly generated large-scale standard instances.Finally,the research problem is illustrated and the sensitivity of key parameters on total cost of rescue project are analyzed.Compared with the schedule without resource buffers,the total cost of the schedule after inserting resource buffers is lower.The total cost of the rescue schedule descends with the extension of project deadline,and ascends with the increase of resource fluctuation range,the increase of unit delay cost and buffer cost.At last,compared with the impact caused by the extension of project deadline,the increase of resource fluctuation range has a greater impact on the total cost of rescue project.This study provides effective decision support for resource scheduling of public health emergencies in reality.
Public Health EmergenciesProject SchedulingOptimization ModelTabu Search AlgorithmResource Buffering
维普
万方数据
