An optimal management model for empty freight railcars in transport nodes
DOI:
https://doi.org/10.31181/oresta1901036rKeywords:
rail transport, railcar traffic volume, empty railcars, station loading, train schedule, mathematical model, linear programming, fuzzy-logicAbstract
The paper presents the actual problem of increasing the efficiency of empty railcars management in rail nodes. This problem lies in considering the set of constraints. The main constraint is the requirement of railcars ‘owners on their loading by certain freights and sending to certain customers. This problem is complicated with the complexity of the traffic volumes structure that making them uneven. Hence, it creates an uneven loading factor of railway stations in the node. Moreover, railway stations are required to comply with the schedule of loading and unloading of railcars, as well as the schedule of trains and features of their formation in the rail nodes at large industrial enterprises. In order to optimally manage empty railcars at rail nodes, both the mathematical model and its solving method are presented. One of the distinctive features of the developed model lies in the application of a fuzzy logic method to evaluate online the loading factor of railway stations in the rail node. Moreover, this model takes into account these evaluations by optimizing the distribution of empty railcars at the loading points. The present study puts forward the method and algorithm of the developed mathematical model for empty railcars management. They could additionally take into account the possibility to include empty railcars groups in the composition of trains moving on schedule within large railway nodes or in systems of railway transport at large industrial enterprises. The proposed model significantly reduces the complexity of operational planning of dispatchers for distributing the empty railcar traffic volumes. Furthermore, the developed model minimizes the total handling time of railcars in rail nodes and ensures the timely supply of empty railcars to the loading points.
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References
Berezhnaya, E.V. & Bereznoy, V.I. (2006). Mathematical methods of economic systems modeling. Moscow: Finance and Statistics.
Borodin, A.F. & Sotnikov, E.A. (2011). Rational relationship between railway tracks capacities at stations and railcar parks within the share increase of private railcars. Railway Transport, 3, 8-19.
Carey, M. & Lockwood, D. (1995). Model, algorithms and strategy for train pathing. Journal of the Operational Research Society, 8, 988-1005.
Clausen, U. & Rotmann, M. (2014). Measurement and optimization of delivery performance in industrial railway systems. Efficiency and Innovation in Logistics.Lecture Notes in Logistics, 109-120.
Clausen, U. & Voll, R. (2013). A comparison of North American and European railway systems. European Transport Research Review, 3, 129-133.
Crainic, T.G. & Laporte, G. (1997). Planning models for freight transportation. European Journal of Operational Research, 3, 409-438.
D'Ariano, A. (2008). Improving real-time train dispatching: Models, algorithms and applications. Delft: Delft University of Technology.
Dorfman, M. J. & Medanic, J. (2004). Scheduling trains on a railway network using a discrete event model of railway traffic. Transportation Research Part B: Methodological, 1, 81-98.
Fugenschuh, A., Homfeld, H., Huck, A., Martin, A., Yuan, Z. (2008). Scheduling Locomotives and Car Transfers in Freight Transport. Transportation Science, 4, 478-491.
Hailes, S. (2006). Modern telecommunications systems for train control. In The 11th Institution of Engineering and Technology Professional Development Course on Railway Signalling and Control Systems, Manchester, UK, 185-192.
Harris, J. (2006). Fuzzy Logic Applications in Engineering Science, Springer.
Jha, K. C., Ahuja, R. K., Sahin, G. (2008). New approaches for solving the block-to-train assignment problem. Networks, 51, 48-62.
Kauppi, A., Wikström, J., Sandblad, B., Andersson, A. W. (2006). Future train traffic control: control by re-planning. Cognition, Technology & Work, 8, 50-56.
Kornilov, S.N. & Varzhina, K.M. (2015). The choice of ways to increase the throughput of railway stations in terms of structure complication of railcar traffic volumes. Modern Problems of Russian Transport Complex, 2015, 5, 12-16.
Kozlov, P.A (2007). Information technologies in transport. The modern stage. Transport of Russian Federation, 10, 38-41.
Kozlov, P.А., Osokin, O.V., Tushin, N.A. (2011). Construction of intelligent information environment in railway transport. Innovative transport, 1, 6-9.
Lesin, V.V. (2011). The basis of optimization methods. Spb.: Lan’.
Lind, G. (2000). Strategic assessment of intelligent transport systems: A user-oriented review of models and methods.
Osintsev, N.A. & Rakhmangulov, A.N. (2013). Railcar traffic volume management at industrial transport systems. Vestnik of Nosov Magnitogorsk State Technical University, 1, 16-20.
Pellegrini, P., Marli`ere, G., Rodriguez, J., Marliere, G. (2014). Optimal train routing and scheduling for managing traffic perturbations in complex junctions, Transportation Research Part B, 59, 58-80.
Programming Resourcesm - Linear Programming Library GIPALS32. [Online] Available: http://www.optimalon.com/product_gipals32.htm.
Rakhmangulov, A., Kolga, A., Osintsev, N., Stolpovskikh, I., Sladkowski, A. (2014). Mathematical model of optimal empty rail car distribution at railway transport nodes. Transport Problems, 3, 125-132.
Rakhmangulov, A.N. (1999). Optimization methods of transport processes. Magnitogorsk: NSMTU.
Rakhmangulov, A.N. (2014). Railway transport and technological systems: functioning organization: monography Magnitogorsk: Nosov Magnitogorsk State Technical University.
Rakhmangulov, A.N. & Osintsev, N.A. (2011). The assessment of throughput and handling capacity of technological railway stations with the theory of fuzzy sets. Vestnik of transport Povolzhye, 1, 45-49.
Rakhmangulov, A.N., Sladkowski, A., Osintsev, N.A. (2016). Design of an ITS for industrial enterprises. In A. Sladkowski, T. Pamula (Eds.), Intelligent transportation systems – problems and perspectives. Switzerland: Springer. DOI: 10.1007/978-3-319-19150-8_6
Shenfeld, K.P., Sotnikov, Е.A., Ivnitsky, V.A. (2012). The problem of empty railcars distribution for loading in modern conditions. Vestnik of the Railway Research Institute, 3, 3-7.
Spieckermann, S. & Vosz, S. (1995). A case study in empty railcar distribution. European Journal of Operational Research, 3, 586-598.
