How to cite this paper
Paeizi, A & Makui, A. (2024). An integer linear programming approach for a location-allocation problem in online stores industry: A real world case study.Journal of Future Sustainability, 4(2), 77-84.
Refrences
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Cooper, L. (1963). Location-Allocation Problems. Https://Doi.Org/10.1287/Opre.11.3.331, 11(3), 331–343. https://doi.org/10.1287/OPRE.11.3.331
Fathollahi Fard, A. M., & Hajaghaei-Keshteli, M. (2018). A tri-level location-allocation model for forward/reverse sup-ply chain. Applied Soft Computing Journal, 62, 328–346. https://doi.org/10.1016/J.ASOC.2017.11.004
Fooeik, A. M. L., Ghanbari, H., Bagheriyan, M., & Mohammadi, E. (2022). Analyzing the effects of global oil, gold and palladium markets: Evidence from the Nasdaq composite index. Journal of Future Sustainability, 2(3), 105–112. https://doi.org/10.5267/J.JFS.2022.9.010
Ghanbari, H., Fooeik, A. M. L., Eskorouchi, A., & Mohammadi, E. (2022). Investigating the effect of US dollar, gold and oil prices on the stock market. Journal of Future Sustainability, 2(3), 97–104. https://doi.org/10.5267/J.JFS.2022.9.009
Hajipour, V., Fattahi, P., Tavana, M., & Di Caprio, D. (2016). Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics. Applied Mathematical Modelling, 40(7–8), 4948–4969. https://doi.org/10.1016/J.APM.2015.12.013
Logendran, R., & Terrell, M. P. (1988). Uncapacitated plant location-allocation problems with price sensitive stochastic demands. Computers & Operations Research, 15(2), 189–198. https://doi.org/10.1016/0305-0548(88)90011-1
Praneetpholkrang, P., Huynh, V. N., & Kanjanawattana, S. (2021). A multi-objective optimization model for shelter lo-cation-allocation in response to humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 37(2), 149–156. https://doi.org/10.1016/J.AJSL.2021.01.003
Recherche, R. O., Carrizosa, O. E., Conde, E., Muñoz-Marquez, M., & Puerto, J. (1995). The generalized Weber prob-lem with expected distances. RAIRO - Operations Research, 29(1), 35–57. https://doi.org/10.1051/RO/1995290100351
Ren, Y., & Awasthi, A. (2015). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. Studies in Computational Intelligence, 581, 213–238. https://doi.org/10.1007/978-3-319-13132-0_9/COVER
Sherali, H. D., & Rizzo, T. P. (1991). Unbalanced, capacitated p-median problems on a chain graph with a continuum of link demands. Networks, 21(2), 133–163. https://doi.org/10.1002/NET.3230210202
Wang, Q., Batta, R., & Rump, C. M. (2002). Algorithms for a facility location problem with stochastic customer de-mand and immobile servers. Annals of Operations Research, 111(1–4), 17–34. https://doi.org/10.1023/A:1020961732667/METRICS
Zhou, J. (2000). Uncapacitated Facility L a yout Problem with Stochastic Demands.
Akella, M. R., Batta, R., Delmelle, E. M., Rogerson, P. A., Blatt, A., & Wilson, G. (2005). Base station location and channel allocation in a cellular network with emergency coverage requirements. European Journal of Operational Research, 164(2), 301–323. https://doi.org/10.1016/J.EJOR.2003.12.014
Cooper, L. (1963). Location-Allocation Problems. Https://Doi.Org/10.1287/Opre.11.3.331, 11(3), 331–343. https://doi.org/10.1287/OPRE.11.3.331
Fathollahi Fard, A. M., & Hajaghaei-Keshteli, M. (2018). A tri-level location-allocation model for forward/reverse sup-ply chain. Applied Soft Computing Journal, 62, 328–346. https://doi.org/10.1016/J.ASOC.2017.11.004
Fooeik, A. M. L., Ghanbari, H., Bagheriyan, M., & Mohammadi, E. (2022). Analyzing the effects of global oil, gold and palladium markets: Evidence from the Nasdaq composite index. Journal of Future Sustainability, 2(3), 105–112. https://doi.org/10.5267/J.JFS.2022.9.010
Ghanbari, H., Fooeik, A. M. L., Eskorouchi, A., & Mohammadi, E. (2022). Investigating the effect of US dollar, gold and oil prices on the stock market. Journal of Future Sustainability, 2(3), 97–104. https://doi.org/10.5267/J.JFS.2022.9.009
Hajipour, V., Fattahi, P., Tavana, M., & Di Caprio, D. (2016). Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics. Applied Mathematical Modelling, 40(7–8), 4948–4969. https://doi.org/10.1016/J.APM.2015.12.013
Logendran, R., & Terrell, M. P. (1988). Uncapacitated plant location-allocation problems with price sensitive stochastic demands. Computers & Operations Research, 15(2), 189–198. https://doi.org/10.1016/0305-0548(88)90011-1
Praneetpholkrang, P., Huynh, V. N., & Kanjanawattana, S. (2021). A multi-objective optimization model for shelter lo-cation-allocation in response to humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 37(2), 149–156. https://doi.org/10.1016/J.AJSL.2021.01.003
Recherche, R. O., Carrizosa, O. E., Conde, E., Muñoz-Marquez, M., & Puerto, J. (1995). The generalized Weber prob-lem with expected distances. RAIRO - Operations Research, 29(1), 35–57. https://doi.org/10.1051/RO/1995290100351
Ren, Y., & Awasthi, A. (2015). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. Studies in Computational Intelligence, 581, 213–238. https://doi.org/10.1007/978-3-319-13132-0_9/COVER
Sherali, H. D., & Rizzo, T. P. (1991). Unbalanced, capacitated p-median problems on a chain graph with a continuum of link demands. Networks, 21(2), 133–163. https://doi.org/10.1002/NET.3230210202
Wang, Q., Batta, R., & Rump, C. M. (2002). Algorithms for a facility location problem with stochastic customer de-mand and immobile servers. Annals of Operations Research, 111(1–4), 17–34. https://doi.org/10.1023/A:1020961732667/METRICS
Zhou, J. (2000). Uncapacitated Facility L a yout Problem with Stochastic Demands.