Solving a Container Terminal Location Problem Using Decision Support Systems

Márton, Peter; Milinković, Sanjin; Belošević, Ivan

doi:10.1016/j.trpro.2019.07.202

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…This scenario is modeled by adding a fuzzy constraint to the developed model. In [8], a compromise programming technique combined with fuzzy modeling is proposed to tackle the location problem of real-road terminals. The developed Multi-Criteria Decision Making Method (MCDM) is considered to model the conflicting objectives of different stakeholders involved in the intermodal transportation chain.…”

Section: Related Workmentioning

confidence: 99%

“…Deterministic models [1,5,9-11,13,14,17,25-27,32] Stochastic/fuzzy models [3,7,8,12,15,16,34,42,48,49] Exact methods [1,7,8,11,25] heuristic methods [10,12,15,27,32,50] To our knowledge, we are the first to build a model for an intermodal transportation network considering the general case when the induced graph by the located rail terminals is an incomplete graph. The proposed model is a mixed linear program that provides optimal solutions to achieve a balanced intermodal network.…”

Section: Research Type Referencesmentioning

confidence: 99%

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A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks

Oudani¹

2021

Applied Sciences

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Growing competition in the world enforces the need for an efficient design of transportation networks. Furthermore, a competitive transportation network should also be eco-friendly. As road transportation is responsible for the largest quantities of CO2 emissions, Intermodal Transportation (IT) might be a potential alternative. From this perspective, intermodal terminals location is a cornerstone for building a sustainable transportation network. The purpose of this paper is to study and efficiently solve the Intermodal Terminal Location Problem on incomplete networks. We model this problem as a mixed integer linear program and develop a simulated annealing algorithm to tackle medium and large instances. The computational results show that the obtained solutions using simulated annealing are competitive and close to the exact solutions found by CPLEX solver for small and medium instances. The same developed algorithm outperforms the best found solutions from the literature using heuristics for larger instances.

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Section: Related Workmentioning

confidence: 99%

Section: Research Type Referencesmentioning

confidence: 99%

A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks

Oudani¹

2021

Applied Sciences

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“…Step 4: Determining the value of the fuzzy distance measure from the ideal point: (13) or (14) where…”

Section: Fuzzy Sets Theorymentioning

confidence: 99%

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

et al. 2019

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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.

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Selection of the Best Location for RFID Wagon Monitoring Device on Serbian Railways Based on FUCOM-TOPSIS Method and Fuzzy Set Theory

Milosavljević

Jeremić

Milinković

2020

VIII International Scientific Siberian Transport Forum

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Solving a Container Terminal Location Problem Using Decision Support Systems

Cited by 4 publications

References 4 publications

A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks

A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks

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

Selection of the Best Location for RFID Wagon Monitoring Device on Serbian Railways Based on FUCOM-TOPSIS Method and Fuzzy Set Theory

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