Literature Review on Location Routing Problem Distribution of Humanitarian Aid
Main Article Content
Abstract
Disasters are events that disrupt and threaten the lives of communities caused by natural and/or non-natural factors, as well as human-induced factors, resulting in loss of life and economic damages. Natural disasters globally experience an increase each year across almost all continents. Based on data, Indonesia is one of the countries with the highest intensity of natural disasters in Asia. The objective of this article is to analyze the Location Routing Problem (LRP) for humanitarian aid distribution. The method used for literature review is Systematic Literature Review (SLR), which is one of the methods used to review literature by analyzing the availability of research related to the topic, determining, evaluating, and interpreting previous studies. The total number of articles or papers reviewed is 20 journals or papers from Google Scholar during the period 2019-2023. The method that can be used to solve the LRP is multi-objective optimization with objective functions applicable to single or multiple objectives. The research findings indicate that studies related to the Location Routing Problem (LRP) have been extensively conducted and can be applied in various fields of manufacturing and service industries to address problems related to locating distribution centers and determining vehicle routes. The optimization method that is commonly used and yields good research results is the Non-Dominated Sorting Genetic Algorithm II (NSGA II), while one of the methods that is rarely used to solve the LRP is Ant Colony Optimization (ACO).
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Almouhanna, A., Quintero-Araujo, C. L., Panadero, J., & ... (2020). The location routing problem using electric vehicles with constrained distance. Computers &Operations. https://www.sciencedirect.com/science/article/pii/S0305054819303065
CRED. (2022). Disaster in Numbers. Brussels: CRED. https://doi.org/10.1787/eee82e6e-en
Delfani, F., Kazemi, A., Seyedhosseini, S. M., & ... (2020). A green hazardous waste location-routing problem considering the risks associated with transportation and population. International Journal of …. https://www.ije.ir/article_118852.html
Hamzani, F. R., Sitorus, S., Sitorus, S., & Efendi, S. (2022). Optimization Model of Location Routing Problem for Disaster Relief Distribution. SinkrOn, 7(3), 2072–2079. https://doi.org/10.33395/sinkron.v7i3.11604
Hashemi, L., Mahmoodi, A., Jasemi, M., Millar, R. C., & Laliberté, J. (2021). Modeling a robust multi-objective locating-routing problem with bounded delivery time using meta-heuristic algorithms. Smart and Resilient Transportation, 3(3), 283–303. https://doi.org/10.1108/srt-08-2021-0008
Jiang, Y., & Yuan, Y. (2019). Emergency logistics in a large-scale disaster context: Achievements and challenges. In International Journal of Environmental Research and Public Health (Vol. 16, Issue 5). MDPI AG. https://doi.org/10.3390/ijerph16050779
Leng, L., Zhao, Y., Zhang, J., & Zhang, C. (2019). An effective approach for the multiobjective regional low-carbon location-routing problem. International Journal of …. https://www.mdpi.com/477938
Liu, C., Kou, G., Peng, Y., & Alsaadi, F. E. (2019). Location-routing problem for relief distribution in the early post-earthquake stage from the perspective of fairness. Sustainability (Switzerland), 11(12). https://doi.org/10.3390/SU11123420
Ma, B., Hu, D., & Wu, X. (2021). The location routing problem of the car-sharing system with autonomous electric vehicles. KSCE Journal of Civil Engineering. https://doi.org/10.1007/s12205-021-1605-5
Navazi, F., Sedaghat, A., & Tavakkoli-Moghaddam, R. (2019). A new sustainable location-routing problem with simultaneous pickup and delivery by two-compartment vehicles for a perishable product considering circular economy. IFAC-PapersOnLine, 52(13), 790–795. https://doi.org/10.1016/j.ifacol.2019.11.212
Parayoga, R., Maria, A., & Asih, S. (2021). Empirical study of MOPSO and NSGA II comparison in multi-objective location routing problem incorporating the service level of delivery.
Pourghade Chobar, A., Sabk ara, M., Moradi Pirbalouti, S., Khadem, M., & Bahrami, S. (2021). A Multi-Objective Location-Routing Problem Model for Multi-Device Relief Logistics under Uncertainty Using Meta-Heuristic Algorithm. Journal Of Applied Research on Industrial Engineering, 9 No.3, 354–373.
Roosta, S., Mirnajafizadeh, S. M., & Bazargan Harandi, H. (2023). Development of a robust multi-objective model for green capacitated location-routing under crisis conditions. Journal of Project Management, 8(1), 1–24. https://doi.org/10.5267/j.jpm.2022.10.001
Safari, F. M., Etebari, F., & Chobar, A. P. (2021). Modeling and Optimization of a Tri-objective Transportation-Location-Routing Problem considering route reliability: using MOGWO, MOPSO, MOWCA, and NSGA-II. Journal of Optimization in Industrial Engineering, 14(2), 99–114. https://doi.org/10.22094/JOIE.2020.1893849.1730
Salehi, M., & Jabarpour, E. (2020). Modeling and Solving a Multi-objective. 5(1), 41–65. https://doi.org/10.30473/coam.2021.44290.1105
Shen, L., Tao, F., Shi, Y., & Qin, R. (2019). Optimization of location‐routing problem in emergency logistics considering carbon emissions. International Journal of Environmental Research and Public Health, 16(16). https://doi.org/10.3390/ijerph16162982
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 …. http://growingscience.com/beta/ijiec/4774-grasp-with-alns-for-solving-the-location-routing-problem-of-infectious-waste-collection-in-the-northeast-of-thailand.html
Tirkolaee, E. B., Abbasian, P., & Weber, G. W. (2021). Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. Science of the Total Environment, 756. https://doi.org/10.1016/j.scitotenv.2020.143607
Verma, S., Pant, M., & Snasel, V. (2021). A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems. IEEE Access, 9, 57757–57791. https://doi.org/10.1109/ACCESS.2021.3070634
Wang, X., Zhang, C., Yang, H., & Li, Y. (2022). Research on Location Routing Problem of Multi-type Precooling Facilities Based on Bi-level Programming Model. Journal of Physics: Conference Series, 2425(1). https://doi.org/10.1088/1742-6596/2425/1/012026
Wang, Y., Zhou, J., Sun, Y., Wang, X., Zhe, J., & Wang, H. (2022). Electric Vehicle Charging Station Location-Routing Problem with Time Windows and Resource Sharing. Sustainability. https://www.mdpi.com/1834898
Yaghoubi, A., & Akrami, F. (2019). Proposing a new model for location - routing problem of perishable raw material suppliers with using meta-heuristic algorithms. Heliyon, 5(12). https://doi.org/10.1016/j.heliyon.2019.e03020
Zafari, F., & Shishebori, D. (2019). Designing a Multi-Objective Three-Stage Location-Routing Model for Humanitarian Logistic Planning under Uncertainty. Advances in Industrial Engineering, 2019(4), 149–167. https://doi.org/10.22059/jieng.2021.313355.1744