20.500.12556/DKUM-97109 Optimal 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 algorithm. logistic humanitarian logistics optimization multi-objective dynamic information delay cost Benders decomposition algorithm mixed integer programming ant colony optimization algorithm genetic algorithm logistika matematični modeli model nalezljive bolezni epidemije humanitarna pomoč transportna omrežja algoritmi dinamično modeliranje true false true Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering Angleški jezik Slovenski jezik https://apem-journal.org/ Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Članek v reviji 2026-02-18 12:25:11 2026-02-18 12:25:11 2026-03-11 09:01:17 0000-00-00 00:00:00 2023 0 0 str. 381-395 no. 3 Vol. 18 Sep. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2022-12-15 2023-09-15 2023-11-19 517.9:658.7:616-036.22 268862723 10.14743/apem2023.3.480 1854-6250 APEM18-3_381-395.pdf APEM18-3_381-395.pdf 1 2BF36ADB4B78D8C4715AF6522CC4A47A c968ebf3ba08142b47554279255233364c927d78bbe23164a03da05f38c1c077 ca39e634-0cbc-11f1-8b1a-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203457 https://apem-journal.org/Archives/2023/APEM18-3_381-395.pdf 0 d1511fb8-0cbc-11f1-8b1a-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=203458 Fakulteta za strojništvo Advances in production engineering & management 0 0 0