Department of Industrial Engineering2024-11-0920190360-835210.1016/j.cie.2019.03.0052-s2.0-85062537407http://dx.doi.org/10.1016/j.cie.2019.03.005https://hdl.handle.net/20.500.14288/10436This paper presents a multi-objective mixed-integer programming problem for integrating specific characteristics of synchromodal transportation. The problem includes different objective functions including total transportation cost, travel time and CO2 emissions while optimizing the proposed network structure. Traffic congestion, time-dependent vehicle speeds and vehicle filling ratios are considered and computational results for different illustrative cases are presented with real data from the Marmara Region of Turkey. The defined non-linear model is converted into linear form and solved by using a customized implementation of the e-constraint method. Then, the sensitivity analysis of proposed mathematical models with pre-processing constraints is summarized for decision makers.Computer ScienceArtificial intelligenceIndustrial engineeringJournal Article1879-0550466825100039Q18633