Levent KandillerDeniz Tursel EliiyiBahar TasarKandiller, LeventTasar, BaharEliiyi, Deniz TurselKF DoernerI LjubicG PflugG Tragler2025-10-062017978-3-319-42902-1, 978-3-319-42901-4978331942902197833194290140721-592410.1007/978-3-319-42902-1_20http://dx.doi.org/10.1007/978-3-319-42902-1_20https://gcris.yasar.edu.tr/handle/123456789/6058https://doi.org/10.1007/978-3-319-42902-1_20In the well-known Vehicle Routing Problem (VRP) customer demands from one or more depots are to be distributed via a fleet of vehicles. Various objectives of the problem are considered in literature including minimization of the total distance/time traversed by the fleet during distribution the total cost of vehicle usage or minimizing the maximum tour length/time. In this study we consider a multi-compartment VRP with incompatible products for the daily solution of a livestock feed distribution network where each livestock farm requests one type of feed from a single depot and the vehicles have several compartments. The objective is to minimize the total cost of distribution. Although VRP is a well-studied problem in literature multi-compartment VRP is considered only by few authors and our problem differs from the existing ones due to special operational constraints imposed by the situation on hand. We formulate a basic mathematical model for the problem and present possible extensions. We design a computational experiment for testing the effects of uncontrollable parameters over model performance on a commercial solver and report the results. The proposed model can easily be adapted to other distribution networks such as food and fuel/chemicals.Englishinfo:eu-repo/semantics/closedAccessConference Object