The issue of emergency response and material distribution resulting from various emergencies is a research field that continuously attracts attention.Following an emergency event,rapid and efficient emergency response and distribution of supplies to affected areas can not only reduce losses but can also be of significant importance in maintaining the stability of the social system’s operations.Due to the sudden and devastating nature of emergencies,each affected area is prone to a large demand for materials in a short period of time,and each demand point may require more than one distribution vehicle for service.Therefore,this paper takes road transportation as a research scenario to study the problem of demand detachable emergency material distribution under emergencies in order to improve the applicability of the distribution scheme.Firstly,based on the quantitative analysis of the material dependency of each demand point,the paper introduces the restriction of demand detachability into the emergency material distribution problem,takes the shortest distribution time,the lowest weighted time climbing value and the least number of vehicles used as the objective function,and establishes the demand detachable emergency material distribution model without considering road maintenance and the demand detachable emergency material distribution model considering road maintenance.Then,the splitting operator and maintenance operator are designed according to the model characteristics,and the ant colony algorithm is improved in 3 aspects:state transfer rule,pheromone update and variable neighborhood search operator.Finally,an empirical analysis is carried out relying on the Wenchuan earthquake to provide targeted suggestions for decision makers by comparing the distribution scenarios generated by the two models under different scenarios.The conclusions of this study indicate that:(1)The two demand detachable emergency material distribution models established in the paper are effective in the emergency relief process,and the stability and optimality seeking of the improved ant colony algorithm are improved compared with the traditional ant colony algorithm.(2)When formulating a demandseparable emergency material distribution scheme that takes into account "efficiency-fairnesscapacity",decision makers should carefully consider the weight values of each sub-objective function,and different weight combinations have a significant impact on the emergency material distribution scheme.(3)Under the assumptions and data conditions associated with the paper,it is more efficient to repair partially important damaged sections on the way to emergency supplies distribution than to detour when damaged sections exist.(4)The study of separable demand emergency material distribution problem under emergencies can provide method improvement and quantifiable decision support for the generation and optimization of emergency material distribution decisions,considering multiple factors in real rescue scenarios. |