Vehicle path selection for distribution of incompatible emergency materials based on demand urgency
To address the practical distribution issues of incompatible materials in emergency situations,a vehicle path selec-tion model for the distribution of incompatible emergency materialsbased on demand urgency was established and solved. First-ly,an evaluation index system for the demandurgency of emergency materialswas constructed,and the demandurgency of emer-gency materials at various demand points was determined byusing the grey fuzzy and TOPSIS evaluation methods. Then,con-sidering the multi-vehicle transportation of incompatible emergency materials and the differing demand urgency levels of dif-ferent nodes,a vehicle path selection modelof incompatible emergency materialswas developed with the objectives of the mini-mum total transportation cost and the shortest transportation time of emergency materials. Finally,a genetic algorithm was de-signed to solve this model,and the effectiveness of model and algorithm was validated through a case study of urban viral in-fection. The results show that regardless of the weight values in the objective function,the transportation cost considering de-mand urgency is lower compared with not considering demand urgency. The proposed model can effectively reduce the distri-bution costs of emergency materials while accounting for the material incompatibility. The research results can provide scientif-ic basis and method support for emergency management departments to optimize the materials distribution strategies and re-duce the transportation costs.