Advances in Sciences and Technology (Dec 2021)
A Model for Planning Wagonload Freight Transport Under Relative Uncertainty
Abstract
The study presents a mathematical model for the development of an optimal wagon transport plan in conditions of relative uncertainty. It describes an algorithm that allows searching for an optimal railroad-blocking plan in an environment of approximate initial data. The algorithm is based on the branch-and-bound method and fuzzy intervals. An example is provided of how an optimal transport plan for wagon flows given in this way can be determined.
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