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Freight transportation planning considering carbon emissions and in-transit holding costs: a capacitated multi-commodity network flow model

Author

Listed:
  • Andreas Rudi

    (prismat GmbH)

  • Magnus Fröhling

    (Karlsruhe Institute of Technology (KIT))

  • Konrad Zimmer

    (Karlsruhe Institute of Technology (KIT))

  • Frank Schultmann

    (Karlsruhe Institute of Technology (KIT))

Abstract

To mitigate climate relevant air emissions from freight transportation, policy makers stimulate the application of intermodal freight transport chains. The evaluation and selection of intermodal routes based on the key objectives, i.e., greenhouse gas emission, transportation cost and transit time improvements, are the main challenges in the design of intermodal networks. It is the aim of this paper to provide decision support in intermodal freight transportation planning concerning route and carrier choice in transport service design and the assessment of emission abatement potentials. Core of this approach is a capacitated multi-commodity network flow model considering multiple criteria and in-transit inventory. Thereby two processes are modeled, i.e., the transport and transshipment of full truckloads (FTL), to define the material flow of goods through the network. The objective function of the developed network flow model minimizes the number of transported and transshipped FTL assessed by the weighted and normalized criteria (i.e., CO2-equivalents, cost, time) taking into account tied in-transit capital and the distance traveled. Thereby, the model regards carrier and terminal capacities, the option to transfer or either shift the mode and/or change the carrier at predefined terminal transshipment points. The model is incorporated in a decision support system and applied in an example application with industry data from an automotive supplier to demonstrate its application potentials. Within the application among others the potential benefits of the developed optimization model in comparison to a status quo are analyzed. Different criteria weightings and the influence of various levels of in-transit holding costs are investigated. In addition, the introduction of new transportation means such as the Eurocombi is assessed.

Suggested Citation

  • Andreas Rudi & Magnus Fröhling & Konrad Zimmer & Frank Schultmann, 2016. "Freight transportation planning considering carbon emissions and in-transit holding costs: a capacitated multi-commodity network flow model," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(2), pages 123-160, June.
    • Handle: RePEc:spr:eurjtl:v:5:y:2016:i:2:d:10.1007_s13676-014-0062-4
    DOI: 10.1007/s13676-014-0062-4
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    1. Marc Goetschalckx, 2011. "Supply Chain Engineering," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6512-7, July-Dece.
    2. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    3. Franceschetti, Anna & Honhon, Dorothée & Van Woensel, Tom & Bektaş, Tolga & Laporte, Gilbert, 2013. "The time-dependent pollution-routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 265-293.
    4. Crainic, Teodor Gabriel & Laporte, Gilbert, 1997. "Planning models for freight transportation," European Journal of Operational Research, Elsevier, vol. 97(3), pages 409-438, March.
    5. Current, John & Min, HoKey, 1986. "Multiobjective design of transportation networks: Taxonomy and annotation," European Journal of Operational Research, Elsevier, vol. 26(2), pages 187-201, August.
    6. Rieksts, Brian Q. & Ventura, Jose A., 2008. "Optimal inventory policies with two modes of freight transportation," European Journal of Operational Research, Elsevier, vol. 186(2), pages 576-585, April.
    7. Goetschalckx, Marc & Vidal, Carlos J. & Dogan, Koray, 2002. "Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms," European Journal of Operational Research, Elsevier, vol. 143(1), pages 1-18, November.
    8. J Bauer & T Bektaş & T G Crainic, 2010. "Minimizing greenhouse gas emissions in intermodal freight transport: an application to rail service design," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 530-542, March.
    9. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    10. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "The bi-objective Pollution-Routing Problem," European Journal of Operational Research, Elsevier, vol. 232(3), pages 464-478.
    11. Macharis, C. & Bontekoning, Y. M., 2004. "Opportunities for OR in intermodal freight transport research: A review," European Journal of Operational Research, Elsevier, vol. 153(2), pages 400-416, March.
    12. Crainic, Teodor Gabriel, 2000. "Service network design in freight transportation," European Journal of Operational Research, Elsevier, vol. 122(2), pages 272-288, April.
    13. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
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    Cited by:

    1. Majbah Uddin & Nathan Huynh, 2019. "Reliable Routing of Road-Rail Intermodal Freight under Uncertainty," Networks and Spatial Economics, Springer, vol. 19(3), pages 929-952, September.
    2. Heinold, Arne & Meisel, Frank, 2020. "Emission limits and emission allocation schemes in intermodal freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Damian Dubisz & Paulina Golinska-Dawson, 2021. "Carbon Footprint Management within a Supply Chain – A Case Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 860-870.
    4. Y. Mechouar & Vincent Hovelaque & Carl Gaigne, 2022. "Effect of raw material substitution on the facility location decision under a carbon tax policy," Post-Print halshs-03517835, HAL.
    5. repec:ers:journl:v:xxiv:y:2021:i:2b:p:860-870 is not listed on IDEAS
    6. Michael Wang & Bill Wang & Ahmad Abareshi, 2020. "Blockchain Technology and Its Role in Enhancing Supply Chain Integration Capability and Reducing Carbon Emission: A Conceptual Framework," Sustainability, MDPI, vol. 12(24), pages 1-17, December.
    7. Youcef MECHOUAR & V Hovelaque & C Gaigné, 2021. "Effect of raw material substitution on the facility location decision under a carbon tax policy," Post-Print hal-04155066, HAL.
    8. Hilde Heggen & Yves Molenbruch & An Caris & Kris Braekers, 2019. "Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions," Sustainability, MDPI, vol. 11(6), pages 1-36, March.
    9. Damian Dubisz & Paulina Golinska-Dawson & Przemysław Zawodny, 2022. "Measuring CO 2 Emissions in E-Commerce Deliveries: From Empirical Studies to a New Calculation Approach," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    10. Dezhi Zhang & Jiehui Jiang & Shuangyan Li & Xiamiao Li & Qingwen Zhan, 2017. "Optimal Investment Timing and Size of a Logistics Park: A Real Options Perspective," Complexity, Hindawi, vol. 2017, pages 1-12, December.

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