1505 KB0 KB2023Cao, J.Han, H.Han, T. C.Wang, Y. J.letnik:18številka:3str. 381-395DOI:10.14743/apem2023.3.480ISSN:1854-6250COBISSID_HOST:268862723URN:URN:NBN:SI:doc-HCVSGQFMenFakulteta za strojništvo, Inštitut za proizvodno strojništvoAdvances in production engineering and managementalgoritmiant colony optimization algorithmBenders decomposition algorithmdelay costdinamično modeliranjedynamic informationepidemijegenetic algorithmhumanitarian logisticshumanitarna pomočlogisticlogistikamatematični modelimixed integer programmingmodel nalezljive boleznimulti-objectiveoptimizationtransportna omrežjaOptimal logistics scheduling with dynamic information in emergency response: case studies for humanitarian objectives|The mathematical model of infectious disease is a typical problem in mathematical modeling, and the common infectious disease models include the susceptible-infected (SI) model, the susceptible-infected-recovered model (SIR), the susceptible-infected-recovered-susceptible model (SIRS) and the susceptible-exposed-infected-recovered (SEIR) model. These models can be used to predict the impact of regional return to work after the epidemic. In this paper, we use the SEIR model to solve the dynamic medicine demand information in humanitarian relief phase. A multistage mixed integer programming model for the humanitarian logistics and transport resource is proposed. The objective functions of the model include delay cost and minimum running time in the time-space network. The model describes that how to distribute and deliver medicine resources from supply locations to demand locations with an efficient and lower-cost way through a transportation network. The linear programming problem is solved by the proposed Benders decomposition algorithm. Finally, we use two cases to calculate model and algorithm. The results of the case prove the validity of the model and algorithmTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Fakulteta za strojništvo