Multi-objective Programming Model For Humanistic Emergency Resource Distribution Considering Secondary Disasters

Since the 21st century,global natural disasters have occurred continuously.These disasters led to large-scale casualties and economic losses,making academics and practitioners increasingly concerned about humanitarian logistics.Studies show that 80%of humanitarian aid work is logistics activities.Humanitarian logistics bridges the gap between pre-disaster preparedness and post-disaster response and recovery and has a direct impact on the response speed and effectiveness of humanitarian relief efforts.Emergency dispatch,.which is an important part of humanitarian logistics,plays an important role in the humanitarian relief process.In the meantime,a number of catastrophic catastrophes have often elicited a series of secondary disasters,which show that the damage and actual losses of secondary disasters often outnumber those of primary disasters and their lethality and destruction must not be underestimated.Considering that catastrophes tend to cause a series of secondary disasters,we study the emergency resource distribution problem in the context of a multi-disaster area and multi-modal transportation First of all,according to the characteristics of large-scale disaster emergency rescue,we establish a multi-objective programming model to minimize the transportation duration,transportation cost,and unsatisfied demand.Considering that the multi-objective programming model is difficult to solve directly with the existing software,this paper adopts linear weighted sum method and fuzzy multi-objective programming method to transform the the multi-objective model into a single-objective model,and compares the advantages and disadvantages of the two methods.Compared with the weighted sum method,the fuzzy multi-objective programming method can scientifically identify the importance of different objectives in the process of solving and reduce the subjectivity.At the same time,the decision maker can also adjust the flexible index according to the actual situation,thus ensuring the flexibility of the method.Then,based on the background of Wenchuan earthquake,the case study is carried out.After the optimal scheduling solutions of each single goal are obtained respectively,the results obtained for the single-objective models and the multi-objective model were compared.It is found that the results of a model that is targeted only in one of the aspects of timeliness,economy,and effectiveness is less effective in the optimization of the other two goals.The results are less effective in the optimization of the other two goals.On the contrary,the result obtained by solving the multi-objective model takes the different appeals of the rescue participants into account,and is more comprehensive and comprehensive.According to the characteristics of this paper,the solutions under two scenarios of considering and neglecting secondary disasters are contrasted,which verifies the superiority of this model.At the same time,the sensitivity analysis of different material satisfaction rates and different flexible indexes has been given.Finally,the research contents of this paper are systematically summarized,and the future research directions are prospected.