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Exact and heuristic solution approaches for the bid construction problem in transportation procurement auctions with a heterogeneous fleet

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  • Hammami, Farouk
  • Rekik, Monia
  • Coelho, Leandro C.

Abstract

This paper solves the bid construction problem (BCP) for heterogeneous truckload operations. Exact and heuristic solution methods are proposed to solve the BCP. The heuristic framework is based on a destroy-repair principle coupled with local search procedures. A heuristic variant integrating a post-optimization method considering solutions obtained during the heuristic search is also proposed. The exact approach uses CPLEX to solve an adapted arc-based mathematical formulation with our best heuristic solution as an initial solution. Computational results show that the proposed methods perform very well in terms of CPU time and solution quality for existing and new sets of instances.

Suggested Citation

  • Hammami, Farouk & Rekik, Monia & Coelho, Leandro C., 2019. "Exact and heuristic solution approaches for the bid construction problem in transportation procurement auctions with a heterogeneous fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 150-177.
    • Handle: RePEc:eee:transe:v:127:y:2019:i:c:p:150-177
    DOI: 10.1016/j.tre.2019.05.009
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    1. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    2. Intissar Ben Othmane & Monia Rekik & Sehl Mellouli, 2019. "A profit-maximization heuristic for combinatorial bid construction with pre-existing network restrictions," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(12), pages 2097-2111, December.
    3. Triki, Chefi & Oprea, Simona & Beraldi, Patriza & Crainic, Teodor Gabriel, 2014. "The stochastic bid generation problem in combinatorial transportation auctions," European Journal of Operational Research, Elsevier, vol. 236(3), pages 991-999.
    4. Lee, Chi-Guhn & Kwon, Roy H. & Ma, Zhong, 2007. "A carrier's optimal bid generation problem in combinatorial auctions for transportation procurement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(2), pages 173-191, March.
    5. Gerardo Berbeglia & Jean-François Cordeau & Irina Gribkovskaia & Gilbert Laporte, 2007. "Rejoinder on: Static pickup and delivery problems: a classification scheme and survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 45-47, July.
    6. Yossi Sheffi, 2004. "Combinatorial Auctions in the Procurement of Transportation Services," Interfaces, INFORMS, vol. 34(4), pages 245-252, August.
    7. John O. Ledyard & Mark Olson & David Porter & Joseph A. Swanson & David P. Torma, 2002. "The First Use of a Combined-Value Auction for Transportation Services," Interfaces, INFORMS, vol. 32(5), pages 4-12, October.
    8. Chao, I-Ming & Golden, Bruce L. & Wasil, Edward A., 1996. "A fast and effective heuristic for the orienteering problem," European Journal of Operational Research, Elsevier, vol. 88(3), pages 475-489, February.
    9. Gerardo Berbeglia & Jean-François Cordeau & Irina Gribkovskaia & Gilbert Laporte, 2007. "Static pickup and delivery problems: a classification scheme and survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-31, July.
    10. Naccache, Salma & Côté, Jean-François & Coelho, Leandro C., 2018. "The multi-pickup and delivery problem with time windows," European Journal of Operational Research, Elsevier, vol. 269(1), pages 353-362.
    11. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    12. Christoph Brunner & Jacob K. Goeree & Charles A. Holt & John O. Ledyard, 2010. "An Experimental Test of Flexible Combinatorial Spectrum Auction Formats," American Economic Journal: Microeconomics, American Economic Association, vol. 2(1), pages 39-57, February.
    13. Tobias Scheffel & Georg Ziegler & Martin Bichler, 2012. "On the impact of package selection in combinatorial auctions: an experimental study in the context of spectrum auction design," Experimental Economics, Springer;Economic Science Association, vol. 15(4), pages 667-692, December.
    14. Lotte Verdonck & AN Caris & Katrien Ramaekers & Gerrit K. Janssens, 2013. "Collaborative Logistics from the Perspective of Road Transportation Companies," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 700-719, November.
    15. Song, Jiongjiong & Regan, Amelia, 2005. "Approximation algorithms for the bid construction problem in combinatorial auctions for the procurement of freight transportation contracts," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 914-933, December.
    16. Chang, Tsung-Sheng, 2009. "Decision support for truckload carriers in one-shot combinatorial auctions," Transportation Research Part B: Methodological, Elsevier, vol. 43(5), pages 522-541, June.
    17. Archetti, Claudia & Bertazzi, Luca & Laganà, Demetrio & Vocaturo, Francesca, 2017. "The Undirected Capacitated General Routing Problem with Profits," European Journal of Operational Research, Elsevier, vol. 257(3), pages 822-833.
    18. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2012. "An adaptive large neighborhood search heuristic for the Pollution-Routing Problem," European Journal of Operational Research, Elsevier, vol. 223(2), pages 346-359.
    19. Li, Yuan & Chen, Haoxun & Prins, Christian, 2016. "Adaptive large neighborhood search for the pickup and delivery problem with time windows, profits, and reserved requests," European Journal of Operational Research, Elsevier, vol. 252(1), pages 27-38.
    20. Regan, A C & Song, Jiongjiong, 2003. "Combinatorial Auctions for Transportation Service Procurement: The Carrier Perspective," University of California Transportation Center, Working Papers qt7sq003mj, University of California Transportation Center.
    21. Dayarian, Iman & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2016. "An adaptive large-neighborhood search heuristic for a multi-period vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 95-123.
    22. Ozlem Ergun & Gultekin Kuyzu & Martin Savelsbergh, 2007. "Reducing Truckload Transportation Costs Through Collaboration," Transportation Science, INFORMS, vol. 41(2), pages 206-221, May.
    23. Margaretha Gansterer & Richard F. Hartl, 2016. "Request evaluation strategies for carriers in auction-based collaborations," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(1), pages 3-23, January.
    24. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2013. "Benefits of in-vehicle consolidation in less than truckload freight transportation operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 113-125.
    25. Okan Örsan Özener & Özlem Ergun & Martin Savelsbergh, 2011. "Lane-Exchange Mechanisms for Truckload Carrier Collaboration," Transportation Science, INFORMS, vol. 45(1), pages 1-17, February.
    26. Berger, Susanne & Bierwirth, Christian, 2010. "Solutions to the request reassignment problem in collaborative carrier networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 627-638, September.
    27. M. W. P. Savelsbergh & M. Sol, 1995. "The General Pickup and Delivery Problem," Transportation Science, INFORMS, vol. 29(1), pages 17-29, February.
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    1. Hammami, Farouk & Rekik, Monia & Coelho, Leandro C., 2021. "Exact and hybrid heuristic methods to solve the combinatorial bid construction problem with stochastic prices in truckload transportation services procurement auctions," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 204-229.
    2. Zhang, Huili & Luo, Kelin & Xu, Yao & Xu, Yinfeng & Tong, Weitian, 2022. "Online crowdsourced truck delivery using historical information," European Journal of Operational Research, Elsevier, vol. 301(2), pages 486-501.
    3. Yang, Fei & Dai, Ying & Ma, Zu-Jun, 2020. "A cooperative rich vehicle routing problem in the last-mile logistics industry in rural areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    4. Lau, Hoong Chuin & Li, Baoxiang, 2021. "Solving the winner determination problem for online B2B transportation matching platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).

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