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Research Article

Multi-objective location-routing model and algorithm study of material reserve bases for large-scale railway engineering construction projects

ORCID Icon, , , , ORCID Icon &
Article: 2361662 | Received 28 Apr 2023, Accepted 26 May 2024, Published online: 04 Jun 2024

References

  • Abdzadeh, B., Noori, S., & Ghannadpour, S. F. (2022). Simultaneous scheduling of multiple construction projects considering supplier selection and material transportation routing. Automation in Construction, 140, 104336. https://doi.org/10.1016/j.autcon.2022.104336
  • Abounacer, R., Rekik, M., & Renaud, J. (2014). An exact solution approach for multi-objective location–transportation problem for disaster response. Computers & Operations Research, 41, 83–93. https://doi.org/10.1016/j.cor.2013.08.001
  • Ahn, S., Han, S., & Al-Hussein, M. (2020). Improvement of transportation cost estimation for prefabricated construction using geo-fence-based large-scale GPS data feature extraction and support vector regression. Advanced Engineering Informatics, 43, 101012. https://doi.org/10.1016/j.aei.2019.101012
  • Cavusoglu, I., Yilmaz, E., & Yilmaz, A. O. (2021). Additivity effect on properties of cemented coal fly ash backfill containing water-reducing admixtures. Construction and Building Materials, 267, 121021. https://doi.org/10.1016/j.conbuildmat.2020.121021
  • Chen, Q., & Liao, W. (2022). Collaborative routing optimization model for reverse logistics of construction and demolition waste from sustainable perspective. International Journal of Environmental Research and Public Health, 19(12), 7366. https://doi.org/10.3390/ijerph19127366
  • Cui, P., Ge, Y., Li, S., Li, Z., Xu, X., Zhou, G. G. D., Chen, H., Wang, H., Lei, Y., Zhou, L., Yi, S., Wu, C., Guo, J., Wang, Q., Lan, H., Ding, M., Ren, J., Zeng, L., Jiang, Y., & Wang, Y. (2022). Scientific challenges in disaster risk reduction for the Sichuan–Tibet Railway. Engineering Geology, 309, 106837. https://doi.org/10.1016/j.enggeo.2022.106837
  • Delfani, F., Kazemi, A., SeyedHosseini, S. M., & Niaki, S. T. A. (2020). A novel robust possibilistic programming approach for the hazardous waste location-routing problem considering the risks of transportation and population. International Journal of Systems Science: Operations & Logistics, 8(4), 383–395. https://doi.org/10.1080/23302674.2020.1781954
  • Fredriksson, A., & Huge-Brodin, M. (2022). Green construction logistics – a multi-actor challenge. Research in Transportation Business & Management, 45, 100830. https://doi.org/10.1016/j.rtbm.2022.100830
  • Gandy, W. C., & Dohrn, P. (1973). Depot location with Van salesmen a practical approach. Omega, 1(3), 321–329. https://doi.org/10.1016/0305-0483(73)90108-4
  • Habibi, F., Barzinpour, F., & Sadjadi, S. J. (2019). A mathematical model for project scheduling and material ordering problem with sustainability considerations: A case study in Iran. Computers & Industrial Engineering, 128, 690–710. https://doi.org/10.1016/j.cie.2019.01.007
  • Hosseininasab, S.-M., Shetab-Boushehri, S.-N., Hejazi, S. R., & Karimi, H. (2018). A multi-objective integrated model for selecting, scheduling, and budgeting road construction projects. European Journal of Operational Research, 271(1), 262–277. https://doi.org/10.1016/j.ejor.2018.04.051
  • Janné, M., & Fredriksson, A. (2021). Construction logistics in urban development projects – learning from, or repeating, past mistakes of city logistics? The International Journal of Logistics Management, 33(5), 49–68. https://doi.org/10.1108/IJLM-03-2020-0128
  • Kang, L. J., Li, H., Li, C., Xiao, N., Sun, H. J., & Buhigiro, N. (2021). Risk warning technologies and emergency response mechanisms in Sichuan-Tibet Railway construction. Frontiers of Engineering Management, 8(4), 582–594. https://doi.org/10.1007/s42524-021-0151-7
  • Lei, Y., Gu, H., & Cui, P. (2022). Vulnerability assessment for buildings exposed to torrential hazards at Sichuan-Tibet transportation corridor. Engineering Geology, 308, 106803. https://doi.org/10.1016/j.enggeo.2022.106803
  • Leng, L., Zhang, C., Zhao, Y., Wang, W., Zhang, J., & Li, G. (2020). Biobjective low-carbon location-routing problem for cold chain logistics: Formulation and heuristic approaches. Journal of Cleaner Production, 273, 122801. https://doi.org/10.1016/j.jclepro.2020.122801
  • Ma, Y., & Xu, J. (2014). Vehicle routing problem with multiple decision-makers for construction material transportation in a fuzzy random environment. International Journal of Civil Engineering, 12, 331–345.
  • Ma, Y., Zhang, W., Feng, C., Lev, B., & Li, Z. (2021). A bi-level multi-objective location-routing model for municipal waste management with obnoxious effects. Waste Management, 135, 109–121. https://doi.org/10.1016/j.wasman.2021.08.034
  • Mara, S. T. W., Kuo, R. J., & Asih, A. M. S. (2021). Location-routing problem: A classification of recent research. International Transactions in Operational Research, 28(6), 2941–2983. https://doi.org/10.1111/itor.12950
  • Marinakis, Y., & Marinaki, M. (2007). A bilevel genetic algorithm for a real life location routing problem. International Journal of Logistics Research and Applications, 11(1), 49–65. https://doi.org/10.1080/13675560701410144
  • Mavrotas, G. (2009). Effective implementation of the ϵ-constraint method in multi-objective mathematical programming problems. Applied Mathematics and Computation, 213(2), 455–465. https://doi.org/10.1016/j.amc.2009.03.037
  • Miralinaghi, M., Seilabi, S. E., Chen, S., Hsu, Y.-T., & Labi, S. (2020). Optimizing the selection and scheduling of multi-class projects using a stackelberg framework. European Journal of Operational Research, 286(2), 508–522. https://doi.org/10.1016/j.ejor.2020.03.051
  • Motta Toledo, C. F., de Oliveira, L., de Freitas Pereira, R., França, P. M., & Morabito, R. (2014). A genetic algorithm/mathematical programming approach to solve a two-level soft drink production problem. Computers & Operations Research, 48, 40–52. https://doi.org/10.1016/j.cor.2014.02.012
  • Orzes, G., Sartor, M., Nassimbeni, G., & Fratocchi, L. (2017). Build-operate-transfer (BOT): an emerging entry mode for service offshoring. Production Planning & Control, 28(4), 295–309. https://doi.org/10.1080/09537287.2017.1282055
  • Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types. Journal of Cleaner Production, 170, 227–241. https://doi.org/10.1016/j.jclepro.2017.09.029
  • Rabbani, M., Heidari, R., & Yazdanparast, R. (2019). A stochastic multi-period industrial hazardous waste location-routing problem: Integrating NSGA-II and Monte Carlo simulation. European Journal of Operational Research, 272(3), 945–961. https://doi.org/10.1016/j.ejor.2018.07.024
  • Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25–39. https://doi.org/10.1016/j.cor.2011.07.016
  • Sadjadi, S. J., Heidari, M., & Alinezhad Esboei, A. (2013). Augmented ϵ-constraint method in multiobjective staff scheduling problem: A case study. The International Journal of Advanced Manufacturing Technology, 70(5–8), 1505–1514. https://doi.org/10.1007/s00170-013-5352-8
  • Shang, X., Zhang, G., Jia, B., & Almanaseer, M. (2022). The healthcare supply location-inventory-routing problem: A robust approach. Transportation Research Part E: Logistics and Transportation Review, 158, 102588. https://doi.org/10.1016/j.tre.2021.102588
  • Shekarian, M., Reza Nooraie, S. V., & Parast, M. M. (2020). An examination of the impact of flexibility and agility on mitigating supply chain disruptions. International Journal of Production Economics, 220, 107438. https://doi.org/10.1016/j.ijpe.2019.07.011
  • Shi, F., Huang, T., Tanikawa, H., Han, J., Hashimoto, S., & Moriguchi, Y. (2012). Toward a low carbon-dematerialization society measuring the materials demand and CO2 emissions of building and transport infrastructure construction in China. Journal of Industrial Ecology, 16(4), 493–505. https://doi.org/10.1111/j.1530-9290.2012.00523.x
  • Suksee, S., & Sindhuchao, S. (2021). GRASP with ALNS for solving the location routing problem of infectious waste collection in the northeast of Thailand. International Journal of Industrial Engineering Computations, 12(3), 305–320. https://doi.org/10.5267/j.ijiec.2021.2.001
  • Tadaros, M., & Migdalas, A. (2022). Bi- and multi-objective location routing problems: Classification and literature review. Operational Research, 22(5), 4641–4683. https://doi.org/10.1007/s12351-022-00734-w
  • Tavakkoli-Moghaddam, R., Makui, A., & Mazloomi, Z. (2010). A new integrated mathematical model for a bi-objective multi-depot location-routing problem solved by a multi-objective scatter search algorithm. Journal of Manufacturing Systems, 29(2–3), 111–119. https://doi.org/10.1016/j.jmsy.2010.11.005
  • Toledo, C. F. M., França, P. M., Morabito, R., & Kimms, A. (2009). Multi-population genetic algorithm to solve the synchronized and integrated two-level lot sizing and scheduling problem. International Journal of Production Research, 47(11), 3097–3119. https://doi.org/10.1080/00207540701675833
  • Toro, E. M., Franco, J. F., Echeverri, M. G., & Guimarães, F. G. (2017). A multi-objective model for the green capacitated location-routing problem considering environmental impact. Computers & Industrial Engineering, 110, 114–125. https://doi.org/10.1016/j.cie.2017.05.013
  • Toro, E. M., Franco, J. F., Echeverri, M. G., Guimarães, F. G., & Gallego Rendón, R. A. (2017). Green open location-routing problem considering economic and environmental costs. International Journal of Industrial Engineering Computations, 203–216. https://doi.org/10.5267/j.ijiec.2016.10.001
  • Vahdani, B., Veysmoradi, D., Shekari, N., & Mousavi, S. M. (2016). Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair. Neural Computing and Applications, 30(3), 835–854. https://doi.org/10.1007/s00521-016-2696-7
  • Vahdatmanesh, M., & Firouzi, A. (2018). Price risk management in BOT railroad construction projects using financial derivatives. Journal of Financial Management of Property and Construction, 23(3), 349–362. https://doi.org/10.1108/JFMPC-04-2018-0021
  • Wang, H., Du, L., & Ma, S. (2014). Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake. Transportation Research Part E: Logistics and Transportation Review, 69, 160–179. https://doi.org/10.1016/j.tre.2014.06.006
  • Wang, Y., Assogba, K., Liu, Y., Ma, X., Xu, M., & Wang, Y. (2018). Two-echelon location-routing optimization with time windows based on customer clustering. Expert Systems with Applications, 104, 244–260. https://doi.org/10.1016/j.eswa.2018.03.018
  • Wang, Y., Sun, Y., Guan, X., Fan, J., Xu, M., & Wang, H. (2021). Two-echelon multi-period location routing problem with shared transportation resource. Knowledge-Based Systems, 226, 107168. https://doi.org/10.1016/j.knosys.2021.107168
  • Woldesenbet, Y. G., Yen, G. G., & Tessema, B. G. (2009). Constraint handling in multiobjective evolutionary optimization. IEEE Transactions on Evolutionary Computation, 13(3), 514–525. https://doi.org/10.1109/TEVC.2008.2009032
  • Wu, T.-H., Low, C., & Bai, J.-W. (2002). Heuristic solutions to multi-depot location-routing problems. Computers & Operations Research, 29(10), 1393–1415. https://doi.org/10.1016/S0305-0548(01)00038-7
  • Xu, J., & Gang, J. (2013). Multi-objective bilevel construction material transportation scheduling in large-scale construction projects under a fuzzy random environment. Transportation Planning and Technology, 36(4), 352–376. https://doi.org/10.1080/03081060.2013.798486
  • Zhao, J., & Ke, G. Y. (2017). Incorporating inventory risks in location-routing models for explosive waste management. International Journal of Production Economics, 193, 123–136. https://doi.org/10.1016/j.ijpe.2017.07.001

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