A literature review of the state of the art of sustainable waste collection and vehicle routing problem

Li, Wang Shir

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Type :	Article
Subject :	T Technology (General)
ISBN :	1096-2247
Main Author :	Li, Wang Shir
Title :	A literature review of the state of the art of sustainable waste collection and vehicle routing problem
Hits :	93

Place of Production :	Tanjung Malim
Publisher :	Fakulti Komputeran & Meta-Teknologi
Year of Publication :	2024
Notes :	Journal of the Air and Waste Management Association
Corporate Name :	Universiti Pendidikan Sultan Idris
HTTP Link :	Click to view web link
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Abstract : Universiti Pendidikan Sultan Idris

Over the past decades, the amount of waste has dramatically increased worldwide due to rapid population growth and urbanization. Inefficient waste collection and transportation, known as the waste collection vehicle routing problem (WCVRP), negatively impacts economic, environmental, and social dimensions. This issue has drawn considerable attention from local and national governments. There is an urgent need for sustainable practices in waste collection and transportation. This paper conducts an exhaustive literature review on the WCVRP. The review covers various aspects, including waste types, common model characteristics, objective functions, solution methods, datasets and case studies. The analysis indicates a need for further research on underrepresented waste types, such as medical waste (MW). It also stresses the importance of incorporating more model characteristics to better capture the complexities of real-world scenarios. Moreover, there is a lack of multiple objectives optimization models that concurrently address economic, environmental, and social dimensions, in line with sustainable development goals. Additionally, there is insufficient research on hybrid algorithms, especially regarding their application to uncertainty management and advanced techniques. Finally, the use of hybrid testing is restricted, highlighting the need for diverse tests to validate solution methods under various real-world conditions. This study outlines a roadmap for decision-makers in the WCVRP domain, offering opportunities for the evolution of more efficient, adaptable, and sustainable waste collection and transportation systems.

References

Akbarpour, N., A. Salehi-Amiri, M. Hajiaghaei-Keshteli, and D. Oliva. 2021. An innovative waste management system in a smart city under stochastic optimization using vehicle routing problem. Soft Comput. 25 (8):6707–27. doi:10.1007/s00500-021-05669-6.

Alhilali, A.H., and A. Montazerolghaem. 2023. Artificial intelligence based load balancing in SDN: A comprehensive survey. Inte. Thing. 22:100814. doi:10.1016/j.iot.2023. 100814.

Aliahmadi, S.Z., F. Barzinpour, and M.S. Pishvaee. 2020. A fuzzy optimization approach to the capacitated node-routing problem for municipal solid waste collection with multiple tours: A case study. Wast. Manag. Res. 38 (3):279–90. doi:10.1177/0734242X19879754.

Aliahmadi, S.Z., F. Barzinpour, and M.S. Pishvaee. 2021. A novel bi-objective credibility-based fuzzy model for municipal waste collection with hard time windows. J. Cleaner Production 296:126364. doi:10.1016/j.jclepro.2021.126364.

Araee, E., N. Manavizadeh, and S. Aghamohammadi Bosjin. 2020. Designing a multi-objective model for a hazardous waste routing problem considering flexibility of routes and social effects. J. Ind. Production Eng. 37 (1):33–45. doi:10.1080/21681015.2020.1727970.

Arias-Osorio, J., R.D. Ríos-Mercado, and I.D. TamayoMorantes. 2020. A model for collection of waste electrical and electronical equipment in metropolitan area of Bucaramanga. Revista Facultad de Ingeniería Universidad de Antioquia 96 (96):110–17. doi:10.17533/udea.redin. 20191259.

Atthirawong, W., and P. Luangpaiboon. 2022. Hazardous waste management system for Thailand’s local administrative organization via route and location selection. J. Air & Waste Manag. Assoc. 72 (10):1121–36. doi:10.1080/10962247.2022.2110993.

Aydemir-Karadag, A. 2022. Bi-objective adaptive large neighborhood search algorithm for the healthcare waste periodic location inventory routing problem. Arab. J. Sci. Eng. 47 (3):3861–76. doi:10.1007/s13369-021-06106-4.

Beliën, J., L. De Boeck, and J. Van Ackere. 2014. Municipal solid waste collection and management problems: A literature review. Transp. Sci. 48 (1):78–102. doi:10.1287/trsc.1120.0448.

Beltrami, E.J., and L.D. Bodin. 1974. Networks and vehicle routing for municipal waste collection. Networks 4 (1):65–94. doi:10.1002/net.3230040106.

Benitez-Bravo, R., R. Gomez-González, P. Rivas-García, J. E. Botello-Álvarez, O.F. Huerta-Guevara, A.M. García-León, and J.F. Rueda-Avellaneda. 2021. Optimization of municipal solid waste collection routes in a Latin-American context. J. Air Waste Manag. Assoc. 71 (11):1415–27. doi:10.1080/10962247.2021.1957040.

Ben-Romdhane, H., N. Ouertani, S. Krichen, and I. Nouaouri. 2023. On optimizing healthcare waste routing systems using waste separation policies: A case study. Appl. Soft Comput. 146:110615. doi:10.1016/j.asoc.2023.110615.

Blazquez, C., and G. Paredes-Belmar. 2020. Network design of a household waste collection system: A case study of the commune of Renca in Santiago, Chile. Waste Manag. 116:179–89. doi:10.1016/j.wasman.2020.07.027.

Bouleft, Y., and A. Elhilali Alaoui. 2023. Dynamic multi-compartment vehicle routing problem for smart waste collection. ASI 6 (1):30. doi:10.3390/asi6010030.

Cao, B., X. Chen, Z. Lv, R. Li, and S. Fan. 2021. Optimization of classified municipal waste collection based on the internet of connected vehicles. IEEE Trans. Intell. Transp. Syst. 22 (8):5364–73. doi:10.1109/TITS.2020.2981564.

Cao, C., J. Li, J. Liu, J. Liu, H. Qiu, and J. Zhen. 2022. Sustainable development-oriented location-transportation integrated optimization problem regarding multi-period multi-type disaster medical waste during COVID-19 pandemic. Ann. Oper. Res. 335 (3):1401–47. doi:10.1007/s10479-022-04820-2.

Cao, S., W. Liao, and Y. Huang. 2021. Heterogeneous fleet recyclables collection routing optimization in a two-echelon collaborative reverse logistics network from circular economic and environmental perspective. Sci. Total Environ. 758:144062. doi:10.1016/j.scitotenv.2020.144062.

Chen, Q., and W. Liao. 2022. Collaborative routing optimization model for reverse logistics of construction and demolition waste from sustainable perspective. IJERPH 19 (12):7366. doi:10.3390/ijerph19127366.

Cheng, C., R. Zhu, A.M. Costa, R.G. Thompson, and X. Huang. 2022. Multi-period two-echelon location routing problem for disaster waste clean-up. Transportmetrica A: Transp. Sci. 18 (3):1053–83. doi:10.1080/23249935.2021.1916644.

Cubillos, M., and S. Wøhlk. 2021. Solution of the maximal covering tour problem for locating recycling drop-off stations. J. Oper. Res. Soc. 72 (8):1898–913. doi:10.1080/01605682.2020.1746701.

Daoud, R., M. Kammoun, and W. Hachicha. 2020. Solving a routing problem of collect infectious healthcare waste with stochastic demand: Case of Sfax Governorate in Tunisia. World Rev. Intermodal Transp. Res. 9 (3):297–311. doi:10.1504/WRITR.2020.108219.

Das, S., S.H. Lee, P. Kumar, K.H. Kim, S.S. Lee, and S. S. Bhattacharya. 2019. Solid waste management: Scope and the challenge of sustainability. J. Cleaner Production 228:658–78. doi:10.1016/j.jclepro.2019.04.323.

Delfani, F., A. Kazemi, S.M. Seyedhosseini, and S.T.A. Niaki. 2020. A green hazardous waste location-routing problem considering the risks associated with transportation and population. Int. J. Eng. 33 (11):2272–84. doi:10.5829/ije.2020.33.11b.18.

Delfani, F., A. Kazemi, S. Sm, and S.T.A. Niaki. 2021. A novel robust possibilistic programming approach for the hazardous waste location-routing problem considering the risks of transportation and population. Int. J. Syst. Sci. 8 (4):383–95. doi:10.1080/23302674.2020.1781954.

De Morais, C.S., D.R. Ramos Jorge, A.R. Aguiar, A.P. BarbosaPóvoa, A.P. Antunes, and T.R.P. Ramos. 2023. A solution methodology for a smart waste collection routing problem with workload concerns: Computational and managerial insights from a real case study. Int. J. Syst. Sci. 10 (1):2086717. doi:10.1080/23302674.2022.2086717.

Dereci, U., and M.E. Karabekmez. 2022. The applications of multiple route optimization heuristics and meta-heuristic algorithms to solid waste transportation: A case study in Turkey. Decis. Anal. J. 4:100113. doi:10.1016/j.dajour.2022.100113.

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