Abstract
Service Network Design designates issues, decisions, and network-design models aimed to plan the activities and resources of the supply side of a transportation system, aiming to satisfy demand efficiently, profitably, and within the quality standards agreed upon with the customers generating this demand. Service Network Design is particularly relevant in the context of consolidation-based transportation, an umbrella term for companies and systems which group and transport within the same vehicle several freight loads of different customers, aiming for a profitable balance between economy-of-scale-based costs and high service quality for customers. This chapter presents a comprehensive overview of the general Service Network Design methodology, in terms of models, solution methods and utilization, that cuts across application fields, including railroads, less-than-truckload motor carriers, land and water-based intermodal transport, regular and express postal services, and city logistics.
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References
Albinski, S., Crainic, T. G., & Minner, S. (2020). The day-before truck platooning planning problem and the value of autonomous driving. Publication CIRRELT-2020-04, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et les transports, Université de Montréal, Montréal, QC, Canada.
Andersen, J., Crainic, T. G., & Christiansen, M. (2009a). Service network design with asset management: formulations and comparative analyzes. Transportation Research Part C: Emerging Technologies, 17(2), 197–207.
Andersen, J., Crainic, T. G., & Christiansen, M. (2009b). Service network design with management and coordination of multiple fleets. European Journal of Operational Research, 193(2), 377–389.
Andersen, J., Christiansen, M., Crainic, T. G., & Grønhaug, R. (2011). Branch-and-price for service network design with asset management constraints. Transportation Science, 46(1), 33–49.
Armacost, A. P., Barnhart, C., & Ware, K. A. (2002). Composite variable formulations for express shipment service network design. Transportation science, 36(1), 1–20.
Bai, R., Wallace, S. W., Li, J., & Chong, A. Y. L. (2014). Stochastic service network design with rerouting. Transportation Research Part B: Methodological, 60, 50–65.
Bektaş, T., & Crainic, T. G. (2008). A brief overview of intermodal transportation. In G. D. Taylor (Ed.). Logistics engineering handbook, chap 28 (pp. 1–16). Boca Raton, FL: Taylor and Francis Group.
Bektaş, T., Chouman, M., & Crainic, T. G. (2010). Lagrangean-based decomposition algorithms for multicommodity network design with penalized constraintsm. Networks, 55(3), 272–280.
Bektaş, T., Crainic, T. G., & Van Woensel, T. (2017). From managing urban freight to smart city logistics networks. In K. Gakis, & P. Pardalos (Eds.), Networks design and optimization for smart cities, series on computers and operations research (Vol. 8, pp. 143–188). Singapore: World Scientific Publishing.
Belieres, S., Hewitt, M., Jozefowiez, N., Semet, F., & Van Woensel, T. (2020). A Benders decomposition-based approach for logistics service network design. European Journal of Operational Research, 286(2), 523–537.
Bilegan, I. C., Crainic, T. G., & Wang, Y. (2021). Scheduled service network design with revenue management considerations for intermodal barge transportation. Publication CIRRELT-2021-23, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Université de Montréal.
Boland, N., Hewitt, M., Marshall, L., & Savelsbergh, M. W. F. (2017). The continuous-time service network design problem. Operations Research, 65(5), 1303–1321.
Chouman, M., & Crainic, T. G. (2015). Cutting-plane matheuristic for service network design with design-balanced requirements. Transportation Science, 49(1), 99–113.
Crainic, T. G. (2000). Network design in freight transportation. European Journal of Operational Research, 122(2), 272–288.
Crainic, T. G. (2003). Long-haul freight transportation. In R. W. Hall (Ed.), Handbook of transportation science (2nd ed., pp. 451–516). Norwell, MA: Kluwer Academic Publishers.
Crainic, T. G. (2019). Parallel metaheuristics and cooperative search. In M. Gendreau, & J.-Y. Potvin (Eds.), Handbook of metaheuristics (3rd ed., pp. 419–451). Berlin: Springer
Crainic, T. G., & Gendreau, M. (1986). Approximate formulas for the computation of connection delays under capacity restrictions in rail freight transportation. In Research for Tomorrow’s Transport Requirements, Fourth World Conference on Transport Research (Vol. 2, pp. 1142–1155). Vancouver.
Crainic, T. G., & Kim, K. H. (2007). Intermodal transportation. In C. Barnhart, & G. Laporte (Eds.), Transportation, Handbooks in Operations Research and Management Science, chap 8 (Vol. 14, pp. 467–537). Amsterdam: North-Holland.
Crainic, T. G., & Laporte, G. (1997). Planning models for freight Transportation. European Journal of Operational Research, 97(3), 409–438.
Crainic, T. G., & Rousseau, J. M. (1986). Multicommodity, multimode freight transportation: A general modeling and algorithmic framework for the service network design problem. Transportation Research Part B: Methodological, 20, 225–242.
Crainic, T. G., & Roy, J. (1988). O.R. tools for tactical freight transportation planning. European Journal of Operational Research, 33(3), 290–297.
Crainic, T. G., Ferland, J. A., & Rousseau, J. M. (1984). A tactical planning model for rail freight transportation. Transportation Science, 18(2), 165–184.
Crainic, T. G., Ricciardi, N., & Storchi, G. (2009). Models for evaluating and planning city logistics transportation systems. Transportation Science, 43(4), 432–454.
Crainic, T. G., Hewitt, M., Toulouse, M., & Vu, D. M. (2014). Service network design with resource constraints. Transportation Science, 50(4), 1380–1393.
Crainic, T. G., Errico, F., Rei, W., & Ricciardi, N. (2016). Modeling demand uncertainty in two-tier city logistics tactical planning. Transportation Science, 50(2), 559–578.
Crainic, T. G., Hewitt, M., Toulouse, M., & Vu, D. M. (2018). Scheduled service network design with resource acquisition and management. EURO Journal on Transportation and Logistics, 7(3):277–309
Demir, E., Burgholzer, W., Hrušovskỳ, 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.
Erera, A., Hewitt, M., Savelsbergh, M., & Zhang, Y. (2013). Improved load plan design through integer programming based local search. Transportation Science, 47(3), 412–427.
Farvolden, J. M., & Powell, W. B. (1994). Subgradient methods for the service network design problem. Transportation Science, 28(3), 256–272.
Fontaine, P., Crainic, T. G., Jabali, O., & Rei, W. (2016). The impact of combining inbound and outbound demand in city logistics systems. In 41st IEEE Annual Computer Software and Applications Conference (COMPSAC) (Vol. 2, pp. 766–770). Piscataway, NJ: IEEE.
Fontaine, P., Crainic, T. G., Jabali, O., & Rei, W. (2021). Scheduled service network design with resource management for two-tier multimodal city logistics. European Journal of Operational Research, 294(2), 558–570.
He, Y., Péton, O., Lehuédé, F., Hewitt, M., Medina, J. (2019) A continuous-time service network design and routing problem. In Program ROADEF 2019. On-line at: https://roadef2019.univ-lehavre.fr/programme/ROADEF2019_submissions/ROADEF2019_paper_195.pdf
Hewitt, M. (2019). Enhanced dynamic discretization discovery for the continuous-time load plan design problem. Transportation Science, 53(6), 1731–1750.
Hewitt, M., Crainic, T. G., Nowak, M., & Rei, W. (2019). Scheduled service network design with resource acquisition and management under uncertainty. Transportation Research Part B: Methodological 128, 324–343.
Hoff, A., Lium, A. G., Løkketangen, A., & Crainic, T. G. (2010). A metaheuristic for stochastic service network design. Journal of Heuristics, 16(1), 653–679.
Jarrah, A. I., Johnson, E., & Neubert, L. C. (2009). Large-scale, less-than-truckload service network design. Operations Research, 57(3), 609–625.
Kazemzadeh, M. R. A., Crainic, T. G., & Gendron, B. (2019). A survey and taxonomy of multilayer network design. Publication CIRRELT-2019-11, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Université de Montréal, Montréal, QC, Canada.
Kim, D., Barnhart, C., Ware, K., & Reinhardt, G. (1999). Multimodal express package delivery: A service network design application. Transportation Science 33(4), 391–407.
Lanza, G., Crainic, T. G., Rei, W., & Ricciardi, N. (2018). A study on travel time stochasticity in service network design with quality targets. Lecture Notes in Computer Science, 11184, 401–416.
Lanza, G., Crainic, T. G., Rei, W., & Ricciardi, N. (2021). Service network design problem with quality targets and stochastic travel times. European Journal of Operational Research, 288(1), 30–46.
Lium, A. G., Crainic, T. G., & Wallace, S. W. (2007). Correlations in stochastic programming: A case from stochastic service network design. Asia-Pacific Journal of Operational Research 24(2), 161–179.
Lium, A. G., Crainic, T. G., & Wallace, S. W. (2009). A study of demand stochasticity in service network design. Transportation Science, 43(2), 144–157.
Marshall, L., Boland, N., Savelsbergh, M., & Hewitt, M. (2021). Interval-based dynamic discretization discovery for solving the continuous-time service network design problem. Transportation Science 55(1), 29–51.
Medina, J., Hewitt, M., Lehuédé, F., & Péton, O. (2019). Integrating long-haul and local transportation planning: The service network design and routing problem. EURO Journal on Transportation and Logistics, 8(2), 119–145.
Pedersen, M. B., & Crainic, T. G. (2007). Optimization of intermodal freight service schedules on train canals. Publication CIRRELT-2007-51, Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport, Montréal, QC, Canada.
Pedersen, M. B., Crainic, T. G., & Madsen, O. B. G. (2009). Models and Tabu search meta-heuristics for service network design with asset-balance requirements. Transportation Science, 43(2), 158–177.
Powell, W. B. (1986) A local improvement heuristic for the design of less-than-truckload motor carrier networks. Transportation Science, 20(4), 246–257.
Scherr, Y. O., Neumann-Saavedra, B. A., Hewitt, M., & Mattfeld, D. C. (2018) Service network design for same day delivery with mixed autonomous fleets. Transportation Research Procedia, 30, 23–32.
Scherr, Y. O., Saavedra, B. A. N., Hewitt, M., & Mattfeld, D. C. (2019). Service network design with mixed autonomous fleets. Transportation Research Part E: Logistics and Transportation Review, 124, 40–55.
Minh, V., Crainic, T., & Toulouse, M. (2013). A three-stage matheuristic for the capacitated multi-commodity fixed-cost network design with design-balance constraints. Journal of Heuristics, 19, 757–795.
Wang, X., Crainic, T. G., & Wallace, S. W. (2019). Stochastic network design for planning scheduled transportation services: The value of deterministic solutions. INFORMS Journal on Computing, 31(1), 153–170.
Wang, Z., & Qi, M. (2019). Service network design considering multiple types of seervices. Transportation Research Part E, 126, 1–14.
Wang, Z., & Qi, M. (2020) Robust service network design under demand uncertainty. Transportation Science, 54(32), 676–689.
Wieberneit, N. (2008). Service network design for freight transportation: A review. OR Spectrum 30(1), 77–112.
Zhu, E., Crainic, T. G., & Gendreau, M. (2014) Scheduled service network design for freight rail transportations. Operations Research, 62(2), 383–400.
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Crainic, T.G., Hewitt, M. (2021). Service Network Design. In: Crainic, T.G., Gendreau, M., Gendron, B. (eds) Network Design with Applications to Transportation and Logistics. Springer, Cham. https://doi.org/10.1007/978-3-030-64018-7_12
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