Ahmadi-Javid, A., & Seddighi, A. H. (2013). A location-routing problem with disruption risk. Transportation Research Part E: Logistics and Transportation Review, 53, 63-82.
Ambrosino, D., Sciomachen, A., & Scutellà, M. G. (2009). A heuristic based on multi-exchange techniques for a regional fleet assignment location-routing problem. Computers & Operations Research, 36(2), 442-460.
Ayough, A., Khorshidvand, B., Massomnedjad, N., & Motameni, A. (2020). An integrated approach for three-dimensional capacitated vehicle routing problem considering time windows. Journal of Modelling in Management.
Babaee Tirkolaee, E., Hadian, S., & Golpira, H. (2019). A novel multi-objective model for two-echelon green routing problem of perishable products with intermediate depots. Journal of Industrial Engineering and Management Studies, 6(2), 196-213.
Behzadi, G., Sundarakani, B., & Mardaneh, E. (2013). Robust optimisation model for the cold food chain logistics problem under uncertainty. International Journal of Logistics Economics and Globalisation, 5(3), 167-179.
Bozkaya, B., Yanik, S., & Balcisoy, S. (2010). A GIS-based optimization framework for competitive multi-facility location-routing problem. Networks and Spatial Economics, 10(3), 297-320.
Burkart, C., Nolz, P. C., & Gutjahr, W. J. (2017). Modelling beneficiaries’ choice in disaster relief logistics. Annals of Operations Research, 256(1), 41-61.
Crainic, T. G., Mancini, S., Perboli, G., & Tadei, R. (2008). Clustering-based heuristics for the two-echelon vehicle routing problem (Vol. 46). Montréal: CIRRELT.
Drexl, M., & Schneider, M. (2015). A survey of variants and extensions of the location-routing problem. European Journal of Operational Research, 241(2), 283-308.
Drezner, T., Drezner, Z., & Kalczynski, P. (2012). Strategic competitive location: improving existing and establishing new facilities. Journal of the Operational Research Society, 63(12), 1720-1730.
Fakhrzad, M. B., & Alidoosti, Z. (2018). A realistic perish ability inventory management for location-inventory-routing problem based on Genetic Algorithm. Journal of Industrial Engineering and Management Studies, 5(1), 106-121.
Fazayeli, S., Eydi, A., & Kamalabadi, I. N. (2018). A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach. Journal of Industrial Engineering International, 14(2), 327-342.
Zarandi, M. H. F., Hemmati, A., & Davari, S. (2011). The multi-depot capacitated location-routing problem with fuzzy travel times. Expert systems with applications, 38(8), 10075-10084.
Zarandi, M. H. F., Hemmati, A., Davari, S., & Turksen, I. B. (2013). Capacitated location-routing problem with time windows under uncertainty. Knowledge-Based Systems, 37, 480-489.
Ferreira, K. M., & de Queiroz, T. A. (2018). Two effective simulated annealing algorithms for the location-routing problem. Applied Soft Computing, 70, 389-422.
Hadian, H., Golmohammadi, A., Hemmati, A., & Mashkani, O. (2019). A multi-depot location routing problem to reduce the differences between the vehicles’ traveled distances; a comparative study of heuristics. Uncertain Supply Chain Management, 7(1), 17-32.
Hadiguna, R. A. (2012). Decision support framework for risk assessment of sustainable supply chain. International Journal of Logistics Economics and Globalisation, 4(1-2), 35-54.
Hamidi, M., Farahmand, K., & Sajjadi, S. (2012). Modeling a four-layer location-routing problem. International Journal of Industrial Engineering Computations, 3(1), 43-52.
Hamidi, M., Farahmand, K., Sajjadi, S., & Nygard, K. (2014). A heuristic algorithm for a multi-product four-layer capacitated location-routing problem. International Journal of Industrial Engineering Computations, 5(1), 87-100.
Hamidi, M., Farahmand, K., Reza Sajjadi, S., & Nygard, K. E. (2012). A hybrid GRASP-tabu search metaheuristic for a four-layer location-routing problem. International Journal of Logistics Systems and Management, 12(3), 267-287.
Khorshidvand, B., Soleimani, H., Sibdari, S., & Esfahani, M. M. S. (2021). A hybrid modeling approach for green and sustainable closed-loop supply chain considering price, advertisement and uncertain demands. Computers & Industrial Engineering, 157, 107326.
Khorshidvand, B., Soleimani, H., Sibdari, S., & Esfahani, M. M. S. (2021). Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions. Journal of Cleaner Production, 309, 127165.
Leksakul, K., Smutkupt, U., Jintawiwat, R., & Phongmoo, S. (2017). Heuristic approach for solving employee bus routes in a large-scale industrial factory. Advanced Engineering Informatics, 32, 176-187.
Lin, S. W., Yu, V. F., Lee, W., & Ting, C. J. (2009, May). Solving the location routing problem based on a simulated annealing heuristic. In POMS 20th Annual Conference.
Martínez-Salazar, I. A., Molina, J., Ángel-Bello, F., Gómez, T., & Caballero, R. (2014). Solving a bi-objective transportation location routing problem by metaheuristic algorithms. European Journal of Operational Research, 234(1), 25-36.
Manimaran, P., & Selladurai, V. (2014). Glowworm swarm optimisation algorithm for nonlinear fixed charge transportation problem in a single stage supply chain network. International Journal of Logistics Economics and Globalisation, 6(1), 42-55.
Mokhtari, H. (2015). A mixed integer linear programming formulation for a multi-stage, multi-Product, multi-vehicle aggregate production-distribution planning problem. Journal of Industrial Engineering and Management Studies, 2(2), 55-82.
Nadizadeh, A., & Hosseini Nasab, H., (2014). Solving the dynamic capacitated location-routing problem with fuzzy demands by a hybrid heuristic algorithm, European Journal of Operational Research, Vol. 238, No. 2, pp. 458–470.
Nagy, G., & Salhi, S. (2007). Location-routing: Issues, models and methods. European journal of operational research, 177(2), 649-672.
Perboli, G., Tadei, R., & Vigo, D. (2011). The two-echelon capacitated vehicle routing problem: Models and math-based heuristics. Transportation Science, 45(3), 364-380.
Prodhon, C., & Prins, C. (2014). A survey of recent research on location-routing problems. European Journal of Operational Research, 238(1), 1-17.
Rabbani, M., Sadati, S. A., & Farrokhi-Asl, H. (2020). Incorporating location routing model and decision making techniques in industrial waste management: Application in the automotive industry. Computers & Industrial Engineering, 148, 106692.
Rajagopal, S., Krishnamoorthy, B., & Khanapuri, V. B. (2018). Competitive logistics capability for sustainable organisational performance: a study of the textile industry in India. International Journal of Logistics Economics and Globalisation, 7(2), 105-124.
Rath, S., & Gutjahr, W. J. (2014). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25-39.
Venkateswara Reddy, P., Kumar, A. C. S., Bhat, M. S., Dhanalakshmi, R., & Parthiban, P. (2010). Balanced centroids (BC) k-means clustering algorithm to transform MTSP to TSP. International Journal of Logistics Economics and Globalisation, 2(3), 187-197.
Sayyah, M., Larki, H., & Yousefikhoshbakht, M. (2016). Solving the vehicle routing problem with simultaneous pickup and delivery by an effective ant colony optimization. Journal of Industrial Engineering and Management Studies, 3(1), 15-38.
Schneider, M., & Drexl, M. (2017). A survey of the standard location-routing problem. Annals of Operations Research, 259(1), 389-414.
Schwengerer, M., Pirkwieser, S., & Raidl, G. R. (2012, April). A variable neighborhood search approach for the two-echelon location-routing problem. In European conference on evolutionary computation in combinatorial optimization (pp. 13-24). Springer, Berlin, Heidelberg.
Sivakumar, P., Ganesh, K., & Parthiban, P. (2008). Multi-phase composite analytical model for integrated allocation-routing problem–application of blood bank logistics. International Journal of Logistics Economics and Globalisation, 1(3-4), 251-281.
Trivedi, S., Negi, S., & Anand, N. (2019). Role of food safety and quality in Indian food supply chain. International Journal of Logistics Economics and Globalisation, 8(1), 25-45.
Yu, X., Zhou, Y., & Liu, X. F. (2019). A novel hybrid genetic algorithm for the location routing problem with tight capacity constraints. Applied Soft Computing, 85, 105760.
Farahani, R. Z., Rezapour, S., Drezner, T., & Fallah, S. (2014). Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega, 45, 92-118.
Mehrjerdi, Y. Z., & Nadizadeh, A. (2013). Using greedy clustering method to solve capacitated location-routing problem with fuzzy demands. European Journal of Operational Research, 229(1), 75-84.