Advanced evaluation of simultaneous train formation methods based on fuzzy compromise programing

Abstract

Multi-group trains have potential to take a substantial segment in realizing wagonload services. Multi-group train formation is a complex marshalling procedure which composes a train by sorting wagons according to their destinations. The order of wagons corresponds to the disposition of destinations on the train route. The determination of rational sorting schedules should be based on a comprehensive approach addressing different quantitative and qualitative indicators which are conflicting and uncertain. In order to address these conditions, we proposed a new approach for fuzzy multi-criteria evaluation of simultaneous train formation methods. In this paper we evaluate simultaneous train formation methods and provide recommendations for the rational application of elementary, triangular and geometric sorting schedules regarding different scales of sorting task complexity.

A hybrid machine learning-optimization approach to pricing and train formation problem under demand uncertainty

“…In order to solve the model, a hybrid algorithm of genetic algorithm and tabu search and a greedy algorithm are developed. Belošević et al [3] proposed a new fuzzy multi-criteria approach to evaluate the train formation methods. The aim of this paper is to determine the rational sorting schedules based on different quantitative and qualitative indicators.…”

Collaborative Optimization of Car-flow Organization for Freight Trains Based on Adjacent Technical Stations

“…Beloevi [5] studied the reorganization of freight trains at technical stations and trains marshalling methods, and according to the scale of the complexity of different grouping tasks, the rational application of the elementary grouping plan, triangle grouping plan and geometric grouping plan was proposed. Although [4][5] have achieved promising results, their studies were conducted at a single technical station, and the cooperation between technical stations was neglected. This may have prevented the car-flow organization of railway freight trains from being optimized at the railway network level and increased the total cost of railway freight transportation.…”