Abstract
Container transportation problems include logistics activities conducted in both terminals and hinterland of the terminal. Transferring containers considering cost, time and environmental issues is a difficult problem. Hinterland container transportation (HCT) is defined as the movement of the containers between terminals and customers by different transportation modes. Processes of the hinterland transportation are the most important cost factors for door-to-door services. These problems aim to decide the distribution of the containers considering the cost and time minimization. In this study, a container distribution, routing problem has been proposed in the hinterland. The problem aims to perform the distribution of the containers at minimum total traveling distance. Allocation of containers and the routes under the constraints of routing, capacity is investigated in this study. An integer programming approach has been proposed and solved.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Demir, E., Burgholzer, W., Hrusovsky, M., Arıkan, E., Jammernegg, W., & Van Woensel, T. (2016). A green intermodal service network design problem with travel time uncertainty. Transportation Research Part B: Methodological, 93, 789–807.
Resat, H. G., & Turkay, M. (2015). Design and operation of intermodal transportation network in the Marmara region of Turkey. Transportation Research Part E, 83, 16–33.
Slack, B. (1993). Pawns in the game: Ports in a global transportation system. Growth and Change, 24, 379–388.
Sterzik, S., & Kopfer, H. (2013). A tabu search heuristic for the inland container transportation problem. Computers & Operation Research, 40, 953–962.
Van Klink, H. A., & Van den Berg, G. (1998). Gateways and intermodalism. Journal of Transport Geography, 6, 1–9.
Verma, M., & Verter, V. (2010). A lead-time based approach for planning rail–truck intermodal transportation of dangerous goods. European Journal of Operation Research, 202, 696–706.
Verma, M., Verter, V., & Zufferey, N. (2012). A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials. Transportation Research Part E, 48, 132–149.
Wang, W. F., & Yun, W. Y. (2013). Scheduling for inland container truck and train transportation. International Journal of Production Economics, 143, 349–356.
Yun, W. Y., Wang, W. F., & Ha, B. H. (2013). A hybrid SA algorithm for inland container transportation. International Journal of Industrial Engineering, 20, 12–23.
Zhang, R. Y., Yun, W. Y., & Moon, I. K. (2009). A reactive tabu search algorithm for the multi-depot container truck transportation problem. Transportation Research Part E: Logistics and Transportation Review, 45, 904–914.
Zhang, R., Yun, W., & Kopfer, Y. H. (2010). Heuristic-based truck scheduling for inland container transportation. OR Spectrum, 32, 787–808.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Gocmen, E., Erol, R. (2019). Hinterland Container Transportation Using Mathematical Programming Approach. In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-03317-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-03317-0_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03316-3
Online ISBN: 978-3-030-03317-0
eBook Packages: EngineeringEngineering (R0)