Integrated Planning for Multimodal Networks with Disruptions and Customer Service Requirements
Published Online:20 Oct 2020https://doi.org/10.1287/trsc.2020.1006
References
- (2008) Network hub location problems: The state of the art. Eur. J. Oper. Res. 190(1):1–21.Crossref, Google Scholar
- (2015) The reliable hub-and-spoke design problem: Models and algorithms. Transportation Res. Part B: Methodological 77(July):103–122.Crossref, Google Scholar
- (2014) Stochastic service network design with rerouting. Transportation Res. Part B: Methodological 60(February):50–65.Google Scholar
- (2007) A feasibility pump heuristic for general mixed-integer problems. Discrete Optim. 4(1):63–76.Crossref, Google Scholar
- (2014) RENS. Math. Programming Comput. 6(1):33–54.Crossref, Google Scholar
- (2000) MIP: Theory and practice—Closing the gap. Powell MJD, Scholtes S, eds. System Modelling and Optimization, The International Federation for Information Processing, vol 46. (Springer, Boston), 19–49.Google Scholar
- (2012) Railway rolling stock planning: Robustness against large disruptions. Transportation Sci. 46(2):217–232.Link, Google Scholar
- (2011) Robust rolling stock in rapid transit networks. Comput. Oper. Res. 38(8):1131–1142.Crossref, Google Scholar
- (2012) Twenty-five years of hub location research. Transportation Sci. 46(2):153–169.Link, Google Scholar
- (2012) Resilience: An indicator of recovery capability in intermodal freight transport. Transportation Sci. 46(1):109–123.Link, Google Scholar
- (2000) Service network design in freight transportation. Eur. J. Oper. Res. 122(2):272–288.Crossref, Google Scholar
- (2007) Intermodal transportation. Barnhart C, Laporte G, eds. Handbooks in Operations Research and Management Science: Transportation, vol. 14 (Elsevier, Amsterdam), 467–537.Google Scholar
- (2005) Exploring relaxation induced neighborhoods to improve MIP solutions. Math. Programming 102(1):71–90.Crossref, Google Scholar
- (1994) On practical resource allocation for production planning and scheduling with period overlapping setups. Eur. J. Oper. Res. 75(2):275–286.Crossref, Google Scholar
- (2013) Hub location problems: A review of models, classification, solution techniques, and applications. Comput. Indust. Engrg. 64(4):1096–1109.Crossref, Google Scholar
- (2003) Local branching. Math. Programming 98(1–3):23–47.Crossref, Google Scholar
- (2005) The feasibility pump. Math. Programming 104(1):91–104.Crossref, Google Scholar
- (2016) Improving the maritime transshipment operations of the Noble group. Interfaces 46(3):203–217.Link, Google Scholar
- (2018) Branch-and-price for the pickup and delivery problem with time windows and scheduled lines. Transportation Sci. 52(5):1191–1210.Link, Google Scholar
- (2013) Restrict-and-relax search for 0-1 mixed-integer programs. EURO J. Comput. Optim. 1(1–2):201–218.Crossref, Google Scholar
- (2010) A metaheuristic for stochastic service network design. J. Heuristics 16(5):653–679.Google Scholar
- (2016) A service network design model for multimodal municipal solid waste transport. Eur. J. Oper. Res. 254(1):69–79.Crossref, Google Scholar
- (2017) A variable MIP neighborhood descent algorithm for managing inventory and distribution of cash in automated teller machines. Comput. Oper. Res. 85(September):22–31.Crossref, Google Scholar
- (2009) A study of demand stochasticity in service network design. Transportation Sci. 43(2):144–157.Google Scholar
- (2004) Opportunities for or in intermodal freight transport research: A review. Eur. J. Oper. Res. 153(2):400–416.Crossref, Google Scholar
- (2011) Intermodal hub-and-spoke network design: Incorporating multiple stakeholders and multi-type containers. Transportation Res. Part B: Methodological 45(4):724–742.Crossref, Google Scholar
- (2012) Measuring and maximizing resilience of freight transportation networks. Comput. Oper. Res. 39(7):1633–1643.Crossref, Google Scholar
- (2018) Benchmarks for optimization software. Accessed July 31, 2020, http://plato.asu.edu/bench.html.Google Scholar
- (2012) Capacity planning in the semiconductor industry: Dual-mode procurement with options. Manufacturing Service Oper. Management 14(2):170–185.Link, Google Scholar
- (2010) A collaborative planning approach for intermodal freight transportation. OR Spectrum 32(3):809–830.Google Scholar
- (2014) Multimodal freight transportation planning: A literature review. Eur. J. Oper. Res. 233(1):1–15.Crossref, Google Scholar
- (2008) The trade-offs in rail-truck intermodal transportation of hazardous materials: an illustrative case study. Bersani C, ed. Advanced Technologies and Methodologies for Risk Management in the Global Transport of Dangerous Goods, vol. 45 (IOS Press, Amsterdam), 148–168.Google Scholar
- (2010) A lead-time based approach for planning rail-truck intermodal transportation of dangerous goods. Eur. J. Oper. Res. 202(3):696–706.Crossref, Google Scholar
- (2012) A bi-objective model for planning and managing rail-truck intermodal transportation of hazardous materials. Transportation Res. Part E: Logist. Transportation Rev. 48(1):132–149.Crossref, Google Scholar
- (2009) Designing multimodal freight transport networks: A heuristic approach and applications. Transportation Sci. 43(2):129–143.Link, Google Scholar
- (2015) A freight transport optimization model for integrated network, service, and policy design. Transportation Res. Part E: Logist. Transportation Rev. 77(May):61–76.Crossref, Google Scholar

