How to cite this paper
Jesri, Z., Pourmohammadreza, N., Farnia, S & Jesri, S. (2024). A two-phase model for resilient hub and mobile distribution centers location.Decision Science Letters , 13(2), 363-376.
Refrences
Alam, S. A. (2013). Evaluation of the potential locations for logistics hubs: A case srudy for a logistics company.
Aldrighetti, R., Battini, D., Ivanov, D., & Zennaro, I. (2021). Costs of resilience and disruptions in supply chain network design models: a review and future research directions. International Journal of Production Economics, 235, 108103.
Alumur, S., & Kara, B. Y. (2008). Network hub location problems: The state of the art. European Journal of Operational Research, 190(1), 1–21.
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm’s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111–122.
Brandon‐Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource‐based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55-73. https://doi.org/10.1111/jscm.12050
Çakmak, E., Önden, İ., Acar, A. Z., & Eldemir, F. (2021). Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm. Case Studies on Transport Policy, 9(1), 59–67.
Chou, T.-Y., Hsu, C.-L., & Chen, M.-C. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International Journal of Hospitality Management, 27(2), 293–301.
Ciriaco, T. G. M., & Wong, S. D. (2022). Review of resilience hubs and associated transportation needs. Transportation Research Interdisciplinary Perspectives, 16, 100697.
Dahooie, J. H., Dehshiri, S. J. H., Banaitis, A., & Binkytė-Vėlienė, A. (2020). Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making. Technological and Economic Development of Economy, 26(6), 1311–1338.
Erbaş, M., Kabak, M., Özceylan, E., & Çetinkaya, C. (2018). Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis. Energy, 163, 1017–1031.
Erkayman, B., Gundogar, E., Akkaya, G., & Ipek, M. (2011). A fuzzy TOPSIS approach for logistics center location selection. Journal of Business Case Studies (JBCS), 7(3), 49–54.
Farahani, R. Z., Hekmatfar, M., Arabani, A. B., & Nikbakhsh, E. (2013). Hub location problems: A review of models, classification, solution techniques, and applications. Computers & Industrial Engineering, 64(4), 1096–1109.
Faugère, L., White III, C., & Montreuil, B. (2020). Mobile access hub deployment for urban parcel logistics. Sustainability, 12(17), 7213.
Gkanatsas, E., & Krikke, H. (2020). Towards a pro-silience framework: a literature review on quantitative modelling of resilient 3PL supply chain network designs. Sustainability, 12(10), 4323.
Hsieh, S.-Y., & Kao, S.-S. (2019). A survey of hub location problems. Journal of Interconnection Networks, 19(01), 1940005.
Jakubicek, P., & Woudsma, C. (2011). Proximity, land, labor and planning? Logistics industry perspectives on facility location. Transportation Letters, 3(3), 161–173.
Katsaliaki, K., Galetsi, P., & Kumar, S. (2021). Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research, 1–38.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451.
Kulkarni, O., Cohen, Y. M., Dahan, M., & Montreuil, B. (2021). Resilient Hyperconnected Logistics Hub Network Design. 8th International Physical Internet Conference.
Kulkarni, O., Dahan, M., & Montreuil, B. (2022). Resilient hyperconnected parcel delivery network design under disruption risks. International Journal of Production Economics, 251, 108499.
Kurnaz, S., Özdağoğlu, A., & Keleş, M. (2023). Method of evaluation of military helicopter pilot selection criteria: a novel Grey SWARA approach. Aviation, 27(1).
Liu, H., Han, Y., & Zhu, A. (2022). Modeling supply chain viability and adaptation against underload cascading failure during the COVID-19 pandemic. Nonlinear Dynamics, 110(3), 2931–2947.
López-Castro, L. F., & Solano-Charris, E. L. (2021). Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review. Sustainability, 13(19), 10925.
Lu, X., & Cheng, C. (2021). Locating facilities with resiliency to capacity failures and correlated demand uncertainty. Transportation Research Part E: Logistics and Transportation Review, 153, 102444.
Maharjan, R., & Hanaoka, S. (2019). Fuzzy multi-attribute group decision making to identify the order of establishing temporary logistics hubs during disaster response. Journal of Humanitarian Logistics and Supply Chain Management, 9(1), 2–21.
Maharjan, R., & Kato, H. (2022). Resilient supply chain network design: a systematic literature review. Transport Reviews, 42(6), 739–761.
Moniri, M. R., Alem Tabriz, A., Ayough, A., & Zandieh, M. (2021). Turnaround project risk assessment using hybrid fuzzy SWARA and EDAS method: case of upstream oil process industries in Iran. Journal of Engineering, Design and Technology, 19(4), 966–988.
Mostafaeipour, A., Hosseini Dehshiri, S. J., Hosseini Dehshiri, S. S., Jahangiri, M., & Techato, K. (2020). A thorough analysis of potential geothermal project locations in Afghanistan. Sustainability, 12(20), 8397.
O’kelly, M. E. (1986). The location of interacting hub facilities. Transportation Science, 20(2), 92–106.
Özmen, M., & Aydoğan, E. K. (2020). Robust multi-criteria decision making methodology for real life logistics center location problem. Artificial Intelligence Review, 53, 725–751.
Pahwa, A., & Jaller, M. (2023). Assessing last-mile distribution resilience under demand disruptions. Transportation Research Part E: Logistics and Transportation Review, 172, 103066.
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience. Journal of business logistics, 40(1), 56-65. https://doi.org/10.1111/jbl.12202
Pourmohammadreza, N., & Jokar, M. R. A. (2023). A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options. Sustainability, 15(10), 8098.
Pu, G., Qiao, W., & Feng, Z. (2023). Antecedents and outcomes of supply chain resilience: Integrating dynamic capabilities and relational perspective. Journal of Contingencies and Crisis Management, 31(4), 706-726 https://doi.org/10.1111/1468-5973.12473
Remko, V. H. (2020). Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice. International Journal of Operations & Production Management, 40(4), 341-355. https://doi.org/10.1108/ijopm-03-2020-0165
Saffari, H., Abbasi, M., & Gheidar-Kheljani, J. (2023). A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration. Environment, Development and Sustainability, 1–44.
Salehi, F., Mirzapour Al-e-hashem, S. M. J., & Husseini, S. M. M. (2022). A 2-phase interdependent methodology for sustainable project portfolio planning in the pharmaceutical industry. Computers & Industrial Engineering, 108794.
Satish Natarajan. (2020). The Rise of On-Demand Mobile Distribution Centers. Food Logistics.
Sopha, B. M., Asih, A. M. S., Pradana, F. D., Gunawan, H. E., & Karuniawati, Y. (2016). Urban distribution center location: Combination of spatial analysis and multi-objective mixed-integer linear programming. International Journal of Engineering Business Management, 8, 1847979016678371.
Stević, Ž., Pamučar, D., Subotić, M., Antuchevičiene, J., & Zavadskas, E. K. (2018). The location selection for roundabout construction using Rough BWM-Rough WASPAS approach based on a new Rough Hamy aggregator. Sustainability, 10(8), 2817.
Sundarakani, B., Pereira, V., & Ishizaka, A. (2021). Robust facility location decisions for resilient sustainable supply chain performance in the face of disruptions. The International Journal of Logistics Management, 32(2), 357–385.
Tadić, S., Zečević, S., & Krstić, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications, 41(18), 8112–8128.
USDN. (n.d.). ENVISION TEMPE RESILIENCE HUB.
Uyanik, C., Tuzkaya, G., Kalender, Z. T., & Oguztimur, S. (2020). An integrated DEMATEL–IF-TOPSIS methodology for logistics centers’ location selection problem: an application for Istanbul Metropolitan area. Transport, 35(6), 548–556.
Vieira, C. L. dos S., & Luna, M. M. M. (2016). Models and methods for logistics hub location: a review towards transportation networks design. Pesquisa Operacional, 36(2), 375–397.
Wang, B., Xiong, H., & Jiang, C. (2014). A multicriteria decision making approach based on fuzzy theory and credibility mechanism for logistics center location selection. The Scientific World Journal, 2014.
Wang, N., Chen, J., & Wang, H. (2023). Resilient Supply Chain Optimization Considering Alternative Supplier Selection and Temporary Distribution Center Location. Mathematics, 11(18), 3955.
Witkowski, K., Mrówczyńska, M., Bazan-Krzywoszańska, A., & Skiba, M. (2018). Methods for determining potential sites for the location of logistics centres on the basis of multicriteria analysis. LogForum, 14(3), 279–292.
Yu, G., Haskell, W. B., & Liu, Y. (2017). Resilient facility location against the risk of disruptions. Transportation Research Part B: Methodological, 104, 82–105.
Zhalechian, M., Torabi, S. A., & Mohammadi, M. (2018). Hub-and-spoke network design under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 109, 20–43.
Zheng, Y., Liu, L., Shi, V., Huang, W., & Liao, J. (2022). A Resilience Analysis of a Medical Mask Supply Chain during the COVID-19 Pandemic: A Simulation Modeling Approach. International Journal of Environmental Research and Public Health, 19(13), 8045.
Zsidisin, G. A., & Wagner, S. M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of Business Logistics, 31(2), 1–20.
Aldrighetti, R., Battini, D., Ivanov, D., & Zennaro, I. (2021). Costs of resilience and disruptions in supply chain network design models: a review and future research directions. International Journal of Production Economics, 235, 108103.
Alumur, S., & Kara, B. Y. (2008). Network hub location problems: The state of the art. European Journal of Operational Research, 190(1), 1–21.
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm’s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111–122.
Brandon‐Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource‐based perspective of supply chain resilience and robustness. Journal of Supply Chain Management, 50(3), 55-73. https://doi.org/10.1111/jscm.12050
Çakmak, E., Önden, İ., Acar, A. Z., & Eldemir, F. (2021). Analyzing the location of city logistics centers in Istanbul by integrating Geographic Information Systems with Binary Particle Swarm Optimization algorithm. Case Studies on Transport Policy, 9(1), 59–67.
Chou, T.-Y., Hsu, C.-L., & Chen, M.-C. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International Journal of Hospitality Management, 27(2), 293–301.
Ciriaco, T. G. M., & Wong, S. D. (2022). Review of resilience hubs and associated transportation needs. Transportation Research Interdisciplinary Perspectives, 16, 100697.
Dahooie, J. H., Dehshiri, S. J. H., Banaitis, A., & Binkytė-Vėlienė, A. (2020). Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making. Technological and Economic Development of Economy, 26(6), 1311–1338.
Erbaş, M., Kabak, M., Özceylan, E., & Çetinkaya, C. (2018). Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis. Energy, 163, 1017–1031.
Erkayman, B., Gundogar, E., Akkaya, G., & Ipek, M. (2011). A fuzzy TOPSIS approach for logistics center location selection. Journal of Business Case Studies (JBCS), 7(3), 49–54.
Farahani, R. Z., Hekmatfar, M., Arabani, A. B., & Nikbakhsh, E. (2013). Hub location problems: A review of models, classification, solution techniques, and applications. Computers & Industrial Engineering, 64(4), 1096–1109.
Faugère, L., White III, C., & Montreuil, B. (2020). Mobile access hub deployment for urban parcel logistics. Sustainability, 12(17), 7213.
Gkanatsas, E., & Krikke, H. (2020). Towards a pro-silience framework: a literature review on quantitative modelling of resilient 3PL supply chain network designs. Sustainability, 12(10), 4323.
Hsieh, S.-Y., & Kao, S.-S. (2019). A survey of hub location problems. Journal of Interconnection Networks, 19(01), 1940005.
Jakubicek, P., & Woudsma, C. (2011). Proximity, land, labor and planning? Logistics industry perspectives on facility location. Transportation Letters, 3(3), 161–173.
Katsaliaki, K., Galetsi, P., & Kumar, S. (2021). Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research, 1–38.
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435–451.
Kulkarni, O., Cohen, Y. M., Dahan, M., & Montreuil, B. (2021). Resilient Hyperconnected Logistics Hub Network Design. 8th International Physical Internet Conference.
Kulkarni, O., Dahan, M., & Montreuil, B. (2022). Resilient hyperconnected parcel delivery network design under disruption risks. International Journal of Production Economics, 251, 108499.
Kurnaz, S., Özdağoğlu, A., & Keleş, M. (2023). Method of evaluation of military helicopter pilot selection criteria: a novel Grey SWARA approach. Aviation, 27(1).
Liu, H., Han, Y., & Zhu, A. (2022). Modeling supply chain viability and adaptation against underload cascading failure during the COVID-19 pandemic. Nonlinear Dynamics, 110(3), 2931–2947.
López-Castro, L. F., & Solano-Charris, E. L. (2021). Integrating Resilience and Sustainability Criteria in the Supply Chain Network Design. A Systematic Literature Review. Sustainability, 13(19), 10925.
Lu, X., & Cheng, C. (2021). Locating facilities with resiliency to capacity failures and correlated demand uncertainty. Transportation Research Part E: Logistics and Transportation Review, 153, 102444.
Maharjan, R., & Hanaoka, S. (2019). Fuzzy multi-attribute group decision making to identify the order of establishing temporary logistics hubs during disaster response. Journal of Humanitarian Logistics and Supply Chain Management, 9(1), 2–21.
Maharjan, R., & Kato, H. (2022). Resilient supply chain network design: a systematic literature review. Transport Reviews, 42(6), 739–761.
Moniri, M. R., Alem Tabriz, A., Ayough, A., & Zandieh, M. (2021). Turnaround project risk assessment using hybrid fuzzy SWARA and EDAS method: case of upstream oil process industries in Iran. Journal of Engineering, Design and Technology, 19(4), 966–988.
Mostafaeipour, A., Hosseini Dehshiri, S. J., Hosseini Dehshiri, S. S., Jahangiri, M., & Techato, K. (2020). A thorough analysis of potential geothermal project locations in Afghanistan. Sustainability, 12(20), 8397.
O’kelly, M. E. (1986). The location of interacting hub facilities. Transportation Science, 20(2), 92–106.
Özmen, M., & Aydoğan, E. K. (2020). Robust multi-criteria decision making methodology for real life logistics center location problem. Artificial Intelligence Review, 53, 725–751.
Pahwa, A., & Jaller, M. (2023). Assessing last-mile distribution resilience under demand disruptions. Transportation Research Part E: Logistics and Transportation Review, 172, 103066.
Pettit, T. J., Croxton, K. L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience. Journal of business logistics, 40(1), 56-65. https://doi.org/10.1111/jbl.12202
Pourmohammadreza, N., & Jokar, M. R. A. (2023). A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options. Sustainability, 15(10), 8098.
Pu, G., Qiao, W., & Feng, Z. (2023). Antecedents and outcomes of supply chain resilience: Integrating dynamic capabilities and relational perspective. Journal of Contingencies and Crisis Management, 31(4), 706-726 https://doi.org/10.1111/1468-5973.12473
Remko, V. H. (2020). Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice. International Journal of Operations & Production Management, 40(4), 341-355. https://doi.org/10.1108/ijopm-03-2020-0165
Saffari, H., Abbasi, M., & Gheidar-Kheljani, J. (2023). A robust, sustainable, resilient, and responsive model for forward/reverse logistics network design with a new approach based on horizontal collaboration. Environment, Development and Sustainability, 1–44.
Salehi, F., Mirzapour Al-e-hashem, S. M. J., & Husseini, S. M. M. (2022). A 2-phase interdependent methodology for sustainable project portfolio planning in the pharmaceutical industry. Computers & Industrial Engineering, 108794.
Satish Natarajan. (2020). The Rise of On-Demand Mobile Distribution Centers. Food Logistics.
Sopha, B. M., Asih, A. M. S., Pradana, F. D., Gunawan, H. E., & Karuniawati, Y. (2016). Urban distribution center location: Combination of spatial analysis and multi-objective mixed-integer linear programming. International Journal of Engineering Business Management, 8, 1847979016678371.
Stević, Ž., Pamučar, D., Subotić, M., Antuchevičiene, J., & Zavadskas, E. K. (2018). The location selection for roundabout construction using Rough BWM-Rough WASPAS approach based on a new Rough Hamy aggregator. Sustainability, 10(8), 2817.
Sundarakani, B., Pereira, V., & Ishizaka, A. (2021). Robust facility location decisions for resilient sustainable supply chain performance in the face of disruptions. The International Journal of Logistics Management, 32(2), 357–385.
Tadić, S., Zečević, S., & Krstić, M. (2014). A novel hybrid MCDM model based on fuzzy DEMATEL, fuzzy ANP and fuzzy VIKOR for city logistics concept selection. Expert Systems with Applications, 41(18), 8112–8128.
USDN. (n.d.). ENVISION TEMPE RESILIENCE HUB.
Uyanik, C., Tuzkaya, G., Kalender, Z. T., & Oguztimur, S. (2020). An integrated DEMATEL–IF-TOPSIS methodology for logistics centers’ location selection problem: an application for Istanbul Metropolitan area. Transport, 35(6), 548–556.
Vieira, C. L. dos S., & Luna, M. M. M. (2016). Models and methods for logistics hub location: a review towards transportation networks design. Pesquisa Operacional, 36(2), 375–397.
Wang, B., Xiong, H., & Jiang, C. (2014). A multicriteria decision making approach based on fuzzy theory and credibility mechanism for logistics center location selection. The Scientific World Journal, 2014.
Wang, N., Chen, J., & Wang, H. (2023). Resilient Supply Chain Optimization Considering Alternative Supplier Selection and Temporary Distribution Center Location. Mathematics, 11(18), 3955.
Witkowski, K., Mrówczyńska, M., Bazan-Krzywoszańska, A., & Skiba, M. (2018). Methods for determining potential sites for the location of logistics centres on the basis of multicriteria analysis. LogForum, 14(3), 279–292.
Yu, G., Haskell, W. B., & Liu, Y. (2017). Resilient facility location against the risk of disruptions. Transportation Research Part B: Methodological, 104, 82–105.
Zhalechian, M., Torabi, S. A., & Mohammadi, M. (2018). Hub-and-spoke network design under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 109, 20–43.
Zheng, Y., Liu, L., Shi, V., Huang, W., & Liao, J. (2022). A Resilience Analysis of a Medical Mask Supply Chain during the COVID-19 Pandemic: A Simulation Modeling Approach. International Journal of Environmental Research and Public Health, 19(13), 8045.
Zsidisin, G. A., & Wagner, S. M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of Business Logistics, 31(2), 1–20.