Abstract
The purpose of this document is to better understand the opportunities involved in exports for Mexico in the field of humanitarian aid and to have a safe place to settle a logistics Cluster that can distribute at the national level. The potential of the export industry could be improved through the development of a logistics cluster with the support of first aid providers, the Mexican government, and global non-governmental entities, such as the United Nations, the Red Cross, and so forth. This research proposes a new export cluster of humanitarian aid that can support and help in an emergency caused by natural disasters, giving priority to the disasters located mainly in the country, the north and center of the American continent, and if it is necessary to attend emergencies globally. The technique of Analytic Hierarchy Process (AHP) was used to determine the strategic locations of the logistics cluster, considering five criteria such as security in the supply chain, vehicular traffic, the index of natural disasters, access routes to possible locations, and finally the importance of the airports by operations.
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Appendix 6.A
Appendix 6.A
Scenario 1. 32 × 5 matrix | |||||
---|---|---|---|---|---|
State | Security | Traffic | Natural disasters | Roads | Airport ops |
Aguascalientes | 0.032258065 | 0.027940691 | 0.032258065 | 0.029758316 | 0.031992911 |
Baja California | 0.032258065 | 0.031494557 | 0.032143674 | 0.029922727 | 0.030798449 |
Baja California Sur | 0.032175983 | 0.020298668 | 0.031800503 | 0.015591604 | 0.031035334 |
Campeche | 0.032175983 | 0.032477316 | 0.032258065 | 0.021729599 | 0.032037199 |
Coahuila | 0.032093901 | 0.035296332 | 0.032029284 | 0.049103962 | 0.032014037 |
Colima | 0.032258065 | 0.026971224 | 0.032029284 | 0.043596208 | 0.032087952 |
Chiapas | 0.031847657 | 0.040509099 | 0.030770991 | 0.026305694 | 0.031863415 |
Chihuahua | 0.032258065 | 0.027033194 | 0.029741478 | 0.043102976 | 0.03145868 |
Ciudad De Mexico | 0.029549372 | 0.016734572 | 0.032143674 | 0.022168028 | 0.021943527 |
Durango | 0.032258065 | 0.031545514 | 0.031457332 | 0.024771195 | 0.032111844 |
Guanajuato | 0.027743577 | 0.03224781 | 0.031800503 | 0.052693593 | 0.031650749 |
Guerrero | 0.03201182 | 0.03270806 | 0.030885381 | 0.036581356 | 0.031840126 |
Hidalgo | 0.03201182 | 0.031149415 | 0.032258065 | 0.025401436 | 0.032258065 |
Jalisco | 0.029056883 | 0.027430755 | 0.031686113 | 0.032306681 | 0.028640023 |
Mexico | 0.032093901 | 0.028610606 | 0.031571723 | 0.037238998 | 0.031978751 |
Michoacan | 0.031683493 | 0.025258246 | 0.031686113 | 0.043459199 | 0.032034861 |
Morelos | 0.032093901 | 0.032959616 | 0.032029284 | 0.032799912 | 0.032240108 |
Nayarit | 0.032258065 | 0.032431998 | 0.032029284 | 0.018825012 | 0.032174718 |
Nuevo Leon | 0.031929738 | 0.030373212 | 0.032258065 | 0.026744122 | 0.029582585 |
Oaxaca | 0.031847657 | 0.041393242 | 0.030199039 | 0.033019126 | 0.031715962 |
Puebla | 0.030944759 | 0.037063482 | 0.031800503 | 0.046308982 | 0.032107292 |
Queretaro | 0.027169006 | 0.035387303 | 0.032258065 | 0.025127418 | 0.031843396 |
Quintana Roo | 0.032175983 | 0.027427381 | 0.031457332 | 0.020003288 | 0.028359025 |
San Luis Potosi | 0.030123943 | 0.029054422 | 0.031914894 | 0.025593248 | 0.031934136 |
Sinaloa | 0.03151933 | 0.028379467 | 0.0306566 | 0.025045213 | 0.031430789 |
Sonora | 0.031765575 | 0.034059458 | 0.029627088 | 0.020414315 | 0.031607063 |
Tabasco | 0.031929738 | 0.036224022 | 0.031457332 | 0.026524908 | 0.031819881 |
Tamaulipas | 0.031929738 | 0.032205708 | 0.0306566 | 0.028717049 | 0.031708367 |
Tlaxcala | 0.028482311 | 0.030916894 | 0.032258065 | 0.027511372 | 0.032258065 |
Veracruz | 0.027825659 | 0.036268631 | 0.021276596 | 0.052611388 | 0.031669711 |
Yucatan | 0.032258065 | 0.031523271 | 0.032258065 | 0.028141612 | 0.031659652 |
Zacatecas | 0.03201182 | 0.036625835 | 0.031342942 | 0.02888146 | 0.032143331 |
Scenario 2. 32 × 5 matrix | |||||
---|---|---|---|---|---|
State | Security | Traffic | Natural disasters | Roads | Airport ops |
Aguascalientes | 0.032258065 | 0.027940691 | 0.032258065 | 0.029758316 | 0.008134185 |
Baja California | 0.032258065 | 0.031494557 | 0.032143674 | 0.029922727 | 0.044687071 |
Baja California Sur | 0.032175983 | 0.020298668 | 0.031800503 | 0.015591604 | 0.038280362 |
Campeche | 0.032175983 | 0.032477316 | 0.032258065 | 0.021729599 | 0.007101148 |
Coahuila | 0.032093901 | 0.035296332 | 0.032029284 | 0.049103962 | 0.009834228 |
Colima | 0.032258065 | 0.026971224 | 0.032029284 | 0.043596208 | 0.005325077 |
Chiapas | 0.031847657 | 0.040509099 | 0.030770991 | 0.026305694 | 0.012499118 |
Chihuahua | 0.032258065 | 0.027033194 | 0.029741478 | 0.043102976 | 0.026588549 |
Ciudad De Mexico | 0.029549372 | 0.016734572 | 0.032143674 | 0.022168028 | 0.32030803 |
Durango | 0.032258065 | 0.031545514 | 0.031457332 | 0.024771195 | 0.004561665 |
Guanajuato | 0.027743577 | 0.03224781 | 0.031800503 | 0.052693593 | 0.017443273 |
Guerrero | 0.03201182 | 0.03270806 | 0.030885381 | 0.036581356 | 0.01335737 |
Hidalgo | 0.03201182 | 0.031149415 | 0.032258065 | 0.025401436 | 0 |
Jalisco | 0.029056883 | 0.027430755 | 0.031686113 | 0.032306681 | 0.111263863 |
Mexico | 0.032093901 | 0.028610606 | 0.031571723 | 0.037238998 | 0.00924325 |
Michoacan | 0.031683493 | 0.025258246 | 0.031686113 | 0.043459199 | 0.007293961 |
Morelos | 0.032093901 | 0.032959616 | 0.032029284 | 0.032799912 | 0.000583141 |
Nayarit | 0.032258065 | 0.032431998 | 0.032029284 | 0.018825012 | 0.0025967 |
Nuevo Leon | 0.031929738 | 0.030373212 | 0.032258065 | 0.026744122 | 0.080322922 |
Oaxaca | 0.031847657 | 0.041393242 | 0.030199039 | 0.033019126 | 0.014889681 |
Puebla | 0.030944759 | 0.037063482 | 0.031800503 | 0.046308982 | 0.005651918 |
Queretaro | 0.027169006 | 0.035387303 | 0.032258065 | 0.025127418 | 0.010741075 |
Quintana Roo | 0.032175983 | 0.027427381 | 0.031457332 | 0.020003288 | 0.120351922 |
San Luis Potosi | 0.030123943 | 0.029054422 | 0.031914894 | 0.025593248 | 0.010184583 |
Sinaloa | 0.03151933 | 0.028379467 | 0.0306566 | 0.025045213 | 0.029141357 |
Sonora | 0.031765575 | 0.034059458 | 0.029627088 | 0.020414315 | 0.020805737 |
Tabasco | 0.031929738 | 0.036224022 | 0.031457332 | 0.026524908 | 0.01291296 |
Tamaulipas | 0.031929738 | 0.032205708 | 0.0306566 | 0.028717049 | 0.017279461 |
Tlaxcala | 0.028482311 | 0.030916894 | 0.032258065 | 0.027511372 | 0 |
Veracruz | 0.027825659 | 0.036268631 | 0.021276596 | 0.052611388 | 0.018093036 |
Yucatan | 0.032258065 | 0.031523271 | 0.032258065 | 0.028141612 | 0.016972215 |
Zacatecas | 0.03201182 | 0.036625835 | 0.031342942 | 0.02888146 | 0.003552142 |
Scenario 2. 32 × 5 matrix | |||||
---|---|---|---|---|---|
State | Security | Traffic | Natural disasters | Roads | Airport ops |
Aguascalientes | 0.032258065 | 0.027940691 | 0.032258065 | 0.029758316 | 0.013157895 |
Baja California | 0.032258065 | 0.031494557 | 0.032143674 | 0.029922727 | 0.052631579 |
Baja California Sur | 0.032175983 | 0.020298668 | 0.031800503 | 0.015591604 | 0.052631579 |
Campeche | 0.032175983 | 0.032477316 | 0.032258065 | 0.021729599 | 0.026315789 |
Coahuila | 0.032093901 | 0.035296332 | 0.032029284 | 0.049103962 | 0.065789474 |
Colima | 0.032258065 | 0.026971224 | 0.032029284 | 0.043596208 | 0.026315789 |
Chiapas | 0.031847657 | 0.040509099 | 0.030770991 | 0.026305694 | 0.039473684 |
Chihuahua | 0.032258065 | 0.027033194 | 0.029741478 | 0.043102976 | 0.026315789 |
Ciudad De Mexico | 0.029549372 | 0.016734572 | 0.032143674 | 0.022168028 | 0.013157895 |
Durango | 0.032258065 | 0.031545514 | 0.031457332 | 0.024771195 | 0.013157895 |
Guanajuato | 0.027743577 | 0.03224781 | 0.031800503 | 0.052693593 | 0.026315789 |
Guerrero | 0.03201182 | 0.03270806 | 0.030885381 | 0.036581356 | 0.026315789 |
Hidalgo | 0.03201182 | 0.031149415 | 0.032258065 | 0.025401436 | 0.013157895 |
Jalisco | 0.029056883 | 0.027430755 | 0.031686113 | 0.032306681 | 0.026315789 |
Mexico | 0.032093901 | 0.028610606 | 0.031571723 | 0.037238998 | 0.026315789 |
Michoacan | 0.031683493 | 0.025258246 | 0.031686113 | 0.043459199 | 0.052631579 |
Morelos | 0.032093901 | 0.032959616 | 0.032029284 | 0.032799912 | 0.013157895 |
Nayarit | 0.032258065 | 0.032431998 | 0.032029284 | 0.018825012 | 0.013157895 |
Nuevo Leon | 0.031929738 | 0.030373212 | 0.032258065 | 0.026744122 | 0.026315789 |
Oaxaca | 0.031847657 | 0.041393242 | 0.030199039 | 0.033019126 | 0.039473684 |
Puebla | 0.030944759 | 0.037063482 | 0.031800503 | 0.046308982 | 0.026315789 |
Queretaro | 0.027169006 | 0.035387303 | 0.032258065 | 0.025127418 | 0.013157895 |
Quintana Roo | 0.032175983 | 0.027427381 | 0.031457332 | 0.020003288 | 0.052631579 |
San Luis Potosi | 0.030123943 | 0.029054422 | 0.031914894 | 0.025593248 | 0.026315789 |
Sinaloa | 0.03151933 | 0.028379467 | 0.0306566 | 0.025045213 | 0.039473684 |
Sonora | 0.031765575 | 0.034059458 | 0.029627088 | 0.020414315 | 0.065789474 |
Tabasco | 0.031929738 | 0.036224022 | 0.031457332 | 0.026524908 | 0.013157895 |
Tamaulipas | 0.031929738 | 0.032205708 | 0.0306566 | 0.028717049 | 0.065789474 |
Tlaxcala | 0.028482311 | 0.030916894 | 0.032258065 | 0.027511372 | 0 |
Veracruz | 0.027825659 | 0.036268631 | 0.021276596 | 0.052611388 | 0.065789474 |
Yucatan | 0.032258065 | 0.031523271 | 0.032258065 | 0.028141612 | 0.026315789 |
Zacatecas | 0.03201182 | 0.036625835 | 0.031342942 | 0.02888146 | 0.013157895 |
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Fernandez-Barajas, DA., Sánchez-Partida, D., Cano-Olivos, P., Caballero-Morales, SO. (2021). Strategic Location of a Logistics Cluster for Exporting Humanitarian Aid and Distributing Internally in Case of Emergency. In: Disaster Risk Reduction in Mexico. Springer, Cham. https://doi.org/10.1007/978-3-030-67295-9_6
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