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Sustainable Optimization Model for Routing the Process of Distribution of Products, Pickup and Transport of Waste in the Context of Urban Logistics

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

Literature research urban logistics has shown us the growing interest in sustainable supply chain serving the population, which must necessarily be based on location and routing of vehicles in order, using the integer linear programming methodology, to model these cases. This study presents a sustainable four-level bi-objective model to optimize economic costs and measure the amount of carbon dioxide generated by the transportation process. The process consists of a provider that supplies a distribution center or warehouse, which also serves a group of facilities located by a group of customers who expect to receive attention to their two orders, one for the purchase of the acquired product and the other for the delivery of the waste generated. Finally, the waste is transported to specialized centers. The model implemented with GLPK obtained optimal results for small and medium-sized instances. For scenarios with more than 40 customers, it was not possible to find solutions, as the computational processing time limit was exceeded by 7 200 s, for these scenarios it is recommended to solve the model using metaheuristics.

Our gratitude to the Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica - Fondecyt, for financing the research in progress.

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References

  1. Akyüz, M.H., Öncan, T., Altınel, İK.: Branch and bound algorithms for solving the multi-commodity capacitated multi-facility Weber problem. Ann. Oper. Res., 1–42 (2018). https://doi.org/10.1007/s10479-018-3026-5

  2. Bouchery, Y., Corbett, C.J., Fransoo, J.C., Tan, T. (eds.): Sustainable Supply Chains. SSSCM, vol. 4. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-29791-0

    Book  Google Scholar 

  3. Bugliarello, G.: Urban sustainability: Dilemas, challenges and paradigms. Technol. Soc. 28(1–2), 19–26 (2006). https://doi.org/10.1016/j.techsoc.2005.10.018

    Article  Google Scholar 

  4. Chen, L., Olhager, J., Tang, O.: Manufacturing facility location and sustainability: a literature review and research agenda. Int. J. Prod. Econ. 149, 154–163 (2014). https://doi.org/10.1016/j.ijpe.2013.05.013

    Article  Google Scholar 

  5. Daskin, M. S., Snyder, L V., Berger, R. T.: Facility Location in Supply Chain Design, chapter 2. Logistics systems: Design and optimization. In: Langevin , A., Riopel, D. (eds.) GERAD & École Polytechnique de Montréal Montréal Canada. Springer, Boston, MA (2005). https://doi.org/10.1007/0-387-24977-X_2

  6. Eguia, I., Racero, J., Molina, J. C., Guerrero, F.: Environmental Issues in Vehicle Routing Problems. In: Erechtchoukova M., Khaiter P., Golinska P. (eds) Sustainability Appraisal: Quantitative Methods and Mathematical Techniques for Environmental Performance Evaluation. EcoProduction (Environmental Issues in Logistics and Manufacturing). Springer, Hidelberg (2013). https://doi.org/10.1007/978-3-642-32081-1_10

  7. Fan, D., Lo, C.K.Y., Zhou, Y.: Sustainability risk in supply bases: the role of complexity and coupling. Transp. Res. Part E 145(2021) (2021). https://doi.org/10.1016/j.tre.2020.102175

  8. Gonzales-Feliu, J., Morana, J.: Are city logistics solutions sustainable? the cityporto case. J. Land Use Mob. Environ. 3(2), 55–64 (2010)

    Google Scholar 

  9. Li, F., Golden, B., Wasil, E.: The open vehicle routing problema: algorithms, large-scale test problems, and computational results. Comput. Oper. Res. 34(10), 2918–2930 (2007). https://doi.org/10.1016/j.cor.2005.11.018

    Article  MATH  Google Scholar 

  10. Liu, W., Kong, N., Wang, M., Zhang, L.: Sustainable multi-commodity capacitated facility location problem with complementary demand functions. Transp. Res. Part E 145(2) (2021). https://doi.org/10.1016/j.tre.2020.102165

  11. Okewu, E., Misra, S., Maskeliūnas, R., Damaševičius, R., Fernandez-Sanz, L.: Optimizing green computing awareness for environmental sustainability and economic security as a stochastic optimization problem. Sustainability, MDPI 9(10) (2017). https://doi.org/10.3390/su9101857

  12. Okewu, E., Ananya, M., Misra, S., Koyuncu, M.: A deep neural network-based advisory framework for attainment of sustainable development goals 1–6. Sustainability, MDPI 12(24) (2020). https://doi.org/10.3390/su122410524

  13. Ombuki, B., Ross, B., Hanshar, F.T.: Multi-objetive genetic algorithms for vehicle routing problem with time windows. Appl. Intell. 24(1), 17–30 (2006). https://doi.org/10.1007/s10489-006-6926-z

    Article  Google Scholar 

  14. Ouhader, H., El Kyal, M.: Combining facility location and routing decisions in sustainable urban freight distribution under horizontal collaboration: how can shippers be benefited? Math. Probl. Eng. Hindawi 2017, 1–18 (2017). https://doi.org/10.1155/2017/8687515

    Article  MATH  Google Scholar 

  15. Peng, B., Wu, L., Yi, Y., Chen, X.: Solving the multi-depot Green vehicle routing problem by a hybrid evolutionary algorithm. Sustainability, MDPI 12(5) (2020). https://doi.org/10.3390/su12052127

  16. Prodhon, C., Prins, C.: A survey of recent research on location-routing problems. Europ. J. Oper. Res. 238(1), 1–17 (2014). https://doi.org/10.1016/j.ejor.2014.01.005

    Article  MathSciNet  MATH  Google Scholar 

  17. Rabbani, M., Navazi, F., Farrokhi-Asl, H., Balali, M.H.: A sustainable transportation-location-routing problem with soft time windows for distribution systems. Uncertain Supply Chain Management, Publishers of distinguished academic and professional journals 6(3), 229–254 (2018). https://doi.org/10.5267/j.uscm.2017.12.002

    Article  Google Scholar 

  18. Rabbani, M., Taghi-Molla, A., Farrokhi-Asl, H., Mobini, M.: Sustainable vehicle-routing problem with time Windows by heterogeneous fleet of vehicle and separated compartments: application in waste collection problem. Int. J. Transp. Eng. 7(2), 195–216 (2019). https://doi.org/10.22119/IJTE.2019.94586.1361

  19. Santibañez, E. D. R., Mateus, G. R., Luna, H. P. L.: Solving a public sector sustainable supply chain problem: a genetic algorithm approach. In: WCAMA Brazilian Computer Society Proceedings, pp. 19–22. Publisher, Natal, RN, Brazil (2011)

    Google Scholar 

  20. Subramanian, A., Uchoa, E., Ochi, L.S.: New lower bounds for the vehicle routing problem with simultaneous pickup and delivery. In: Festa, P. (ed.) SEA 2010. LNCS, vol. 6049, pp. 276–287. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-13193-6_24

    Chapter  Google Scholar 

  21. Sungur, I., Ordoñez, F., Dessouky, M.: A robust optimization approach for the capacitated vehicle routing problem with demand uncertainty. IIE Trans. 40(5), 509–523 (2008). https://doi.org/10.1080/07408170701745378

    Article  Google Scholar 

  22. Tanguay, G.A., Rajaonson, J., Lefevre, J., Lanoie, P.: Measuring the sustainability of cities: an analysis of the use of local indicators. Ecological Indiators 10(2), 407–418 (2010). https://doi.org/10.1016/j.ecolind.2009.07.013

    Article  Google Scholar 

  23. Tang, J., Ji, S., Jiang, L.: The design of a sustainable location-routing-inventory model considering consumer environmental behavior. Sustainability, MDPI 8(3) (2016). https://doi.org/10.3390/su8030211

  24. Tsao, Y., Thanh, V.: A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment. Transp. Res. Part E: Logistics Transp. Rev. 124, 13–39 (2019). https://doi.org/10.1016/j.tre.2019.02.006

    Article  Google Scholar 

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Correspondence to José Rodriguez-Melquiades .

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Rodriguez-Melquiades, J., Lujan, E., Segura, F.G. (2021). Sustainable Optimization Model for Routing the Process of Distribution of Products, Pickup and Transport of Waste in the Context of Urban Logistics. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12952. Springer, Cham. https://doi.org/10.1007/978-3-030-86973-1_7

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  • DOI: https://doi.org/10.1007/978-3-030-86973-1_7

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