Abstract
Several different attributes are deemed important in the container-to-mode assignment on a synchromodal transportation network. This chapter proposes a way to quantify several of this different attributes: Robustness, Flexibility and Customer Satisfaction. These attributes are used as alternative objectives when optimising the container assignment in a Synchromodal Transportation Network, modelling it as a Minimum Cost Multi-Commodity Flow on a Space-Time Network.
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References
Ahluwalia, P. K., & Nema, A. K. (2006). Multi-objective reverse logistics model for integrated computer waste management. Waste Management & Research, 24(6), 514–527.
Baykasoğlu, A., & Subulan, K. (2016). A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application. Transportation Research Part E: Logistics and Transportation Review, 95, 207–247.
Beuthe, M., & Bouffioux, C. (2008). Analysing qualitative attributes of freight transport from stated orders of preference experiment. Journal of Transport Economics and Policy, 42(1), 105–128.
Caplice, C., & Jauffred, F. (2014). Balancing robustness and flexibility in transportation networks http://ctl.mit.edu/sites/ctl.mit.edu/files/caplice-SCB-MarApr2014.pdf
Caramia, M., & Dell’Olmo, P. (2008). Multi-objective management in freight logistics: Increasing capacity, service level and safety with optimization algorithms. Springer.
Govindan, K., Paam, P., & Abtahi, A. R. (2016). A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecological Indicators, 67, 753–768.
Husdal, J. (2010). A conceptual framework for risk and vulnerability in virtual enterprise networks. Managing risk in virtual enterprise networks: implementing supply chain principles.
Ishfaq, R., & Sox, C. R. (2010). Intermodal logistics: The interplay of financial, operational and service issues. Transportation Research Part E: Logistics and Transportation Review, 46(6), 926–949.
Miller-Hooks, E., Zhang, X., & Faturechi, R. (2012). Measuring and maximizing resilience of freight transportation networks. Computers & Operations Research, 39(7), 1633–1643.
Ramezani, M., Bashiri, M., & Tavakkoli-Moghaddam, R. (2013). A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Applied Mathematical Modelling, 37(1), 328–344.
Riessen, B. V., Negenborn, R. R., & Dekker, R. (2015). Synchromodal container transportation: An overview of current topics and research opportunities. In International Conference on Computational Logistics (pp. 386–397). Springer.
SteadieSeifi, M., Dellaert, N., Nuijten, W., Woensel, T. V., & Raoufi, R. (2014). Multimodal freight transportation planning: A literature review. European Journal of Operational Research, 233(1), 1–15.
Tuzkaya, G., Kilic, H. S., & Aglan, C. (2016). A multi-objective supplier selection and order allocation model for green supply chains. Journal of Military and Information Science, 4(3), 87–96.
Xifeng, T., Ji, Z., & Peng, X. (2013). A multi-objective optimization model for sustainable logistics facility location. Transportation Research Part D: Transport and Environment, 22, 45–48.
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Vecchyo, M.R.O.d. (2023). Alternative Performance Indicators for Optimising Container Assignment in a Synchromodal Transportation Network. In: Phillipson, F. (eds) Optimisation in Synchromodal Logistics. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-15655-7_6
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DOI: https://doi.org/10.1007/978-3-031-15655-7_6
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