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The selective Traveling Salesman Problem with emission allocation rules

Author

Listed:
  • Thomas Kirschstein

    (Martin-Luther-University Halle-Wittenberg)

  • Christian Bierwirth

    (Martin-Luther-University Halle-Wittenberg)

Abstract

The paper introduces the selective Traveling Salesman Problem with emission allocation rules (sTSP-EA). This is to select a subset of transport requests from the set of requests given to a carrier, and find a corresponding route such that the transport emission allocatable to one particular request takes a minimum consistent with the emission reporting standard EN 16258. The sTSP-EA is relevant for collaborating shippers who consolidate their shipments and thus need to allocate the total emission caused by a transport process to the shipments moved in the process. A mixed-integer linear optimization model is presented for the problem. Since only small-sized instances can be solved this way, a Large Neighborhood Search heuristic is proposed for the sTSP-EA and tested in a comprehensive computational study.

Suggested Citation

  • Thomas Kirschstein & Christian Bierwirth, 2018. "The selective Traveling Salesman Problem with emission allocation rules," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 97-124, January.
    • Handle: RePEc:spr:orspec:v:40:y:2018:i:1:d:10.1007_s00291-017-0493-z
    DOI: 10.1007/s00291-017-0493-z
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    References listed on IDEAS

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    1. David Pisinger & Stefan Ropke, 2010. "Large Neighborhood Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, chapter 0, pages 399-419, Springer.
    2. 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.
    3. Florian Kellner & Andreas Otto, 2012. "Allocating CO 2 emissions to shipments in road freight transportation," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(4), pages 451-479, January.
    4. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    5. Hanif D. Sherali & Patrick J. Driscoll, 2002. "On Tightening the Relaxations of Miller-Tucker-Zemlin Formulations for Asymmetric Traveling Salesman Problems," Operations Research, INFORMS, vol. 50(4), pages 656-669, August.
    6. S. Lin & B. W. Kernighan, 1973. "An Effective Heuristic Algorithm for the Traveling-Salesman Problem," Operations Research, INFORMS, vol. 21(2), pages 498-516, April.
    7. Hahsler, Michael & Hornik, Kurt, 2007. "TSPInfrastructure for the Traveling Salesperson Problem," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i02).
    8. Kirschstein, Thomas & Meisel, Frank, 2015. "GHG-emission models for assessing the eco-friendliness of road and rail freight transports," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 13-33.
    9. Bektas, Tolga & Laporte, Gilbert, 2011. "The Pollution-Routing Problem," Transportation Research Part B: Methodological, Elsevier, vol. 45(8), pages 1232-1250, September.
    10. Okan Örsan Özener & Özlem Ergun, 2008. "Allocating Costs in a Collaborative Transportation Procurement Network," Transportation Science, INFORMS, vol. 42(2), pages 146-165, May.
    11. Dominique Feillet & Pierre Dejax & Michel Gendreau, 2005. "Traveling Salesman Problems with Profits," Transportation Science, INFORMS, vol. 39(2), pages 188-205, May.
    12. S. Borağan Aruoba & Jesús Fernández-Villaverde, 2014. "A Comparison of Programming Languages in Economics," NBER Working Papers 20263, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Zichong Lyu & Dirk Pons & Yilei Zhang, 2023. "Emissions and Total Cost of Ownership for Diesel and Battery Electric Freight Pickup and Delivery Trucks in New Zealand: Implications for Transition," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    2. Florian Kellner, 2022. "Generating greenhouse gas cutting incentives when allocating carbon dioxide emissions to shipments in road freight transportation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(3), pages 833-874, September.
    3. Kellner, Florian & Schneiderbauer, Miriam, 2019. "Further insights into the allocation of greenhouse gas emissions to shipments in road freight transportation: The pollution routing game," European Journal of Operational Research, Elsevier, vol. 278(1), pages 296-313.
    4. Thomas Kirschstein & Arne Heinold & Martin Behnke & Frank Meisel & Christian Bierwirth, 2022. "Eco‐labeling of freight transport services: Design, evaluation, and research directions," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 801-814, June.
    5. 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).

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