Cite Article

Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster

Choose citation format

BibTeX

@article{IJASEIT4655,
   author = {Reinny Patrisina and Nikorn Sirivongpaisal and Sakesun Suthummanon},
   title = {Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {5},
   year = {2019},
   pages = {1577--1583},
   keywords = {disaster preparedness; humanitarian logistics; location-allocation; relief distribution.},
   abstract = {None can predict a disaster precisely: where, when, and how big a disaster will strike one area. This situation leads to uncertainty in such as required demand and supply availabilities. To an area that has been identified threatening by a natural hazard, a possible disaster scenario may compile. Since time is vital in disaster response operations, developing strategies to speed up emergency response is necessitated. This study is aimed to develop a stochastic model for a location-allocation problem in responding to a forecasted disaster. Our stochastic approach recommends a number and locations of local distribution centers (LDCs) that are required to be set up in the initial stage of the response phase and a number of relief items that will be dispatched to survivors in the affected areas through the proposed relief network. A mixed delivery strategy is applied in a 3-tier of a relief distribution network encompassing warehouses, LDCs, and shelters. This strategy provides the affected people in some of the shelters to receive relief items directly from nearby warehouses, while the remaining shelters will get supplies indirectly through the opened LDCs. Comparing to the indirect strategy that shelters are permitted to receive aid goods only through LDCs, the proposed mixed delivery strategy provides more efficient and effective relief distribution. The probable tsunami in West Sumatra, Indonesia, known as Mentawai Megathrust, is employed to illustrate the developed model. The model will be beneficial for disaster managers to improve the performance of a disaster relief operation.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=4655},
   doi = {10.18517/ijaseit.9.5.4655}
}

EndNote

%A Patrisina, Reinny
%A Sirivongpaisal, Nikorn
%A Suthummanon, Sakesun
%D 2019
%T Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster
%B 2019
%9 disaster preparedness; humanitarian logistics; location-allocation; relief distribution.
%! Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster
%K disaster preparedness; humanitarian logistics; location-allocation; relief distribution.
%X None can predict a disaster precisely: where, when, and how big a disaster will strike one area. This situation leads to uncertainty in such as required demand and supply availabilities. To an area that has been identified threatening by a natural hazard, a possible disaster scenario may compile. Since time is vital in disaster response operations, developing strategies to speed up emergency response is necessitated. This study is aimed to develop a stochastic model for a location-allocation problem in responding to a forecasted disaster. Our stochastic approach recommends a number and locations of local distribution centers (LDCs) that are required to be set up in the initial stage of the response phase and a number of relief items that will be dispatched to survivors in the affected areas through the proposed relief network. A mixed delivery strategy is applied in a 3-tier of a relief distribution network encompassing warehouses, LDCs, and shelters. This strategy provides the affected people in some of the shelters to receive relief items directly from nearby warehouses, while the remaining shelters will get supplies indirectly through the opened LDCs. Comparing to the indirect strategy that shelters are permitted to receive aid goods only through LDCs, the proposed mixed delivery strategy provides more efficient and effective relief distribution. The probable tsunami in West Sumatra, Indonesia, known as Mentawai Megathrust, is employed to illustrate the developed model. The model will be beneficial for disaster managers to improve the performance of a disaster relief operation.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=4655
%R doi:10.18517/ijaseit.9.5.4655
%J International Journal on Advanced Science, Engineering and Information Technology
%V 9
%N 5
%@ 2088-5334

IEEE

Reinny Patrisina,Nikorn Sirivongpaisal and Sakesun Suthummanon,"Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 5, pp. 1577-1583, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.5.4655.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Patrisina, Reinny
AU  - Sirivongpaisal, Nikorn
AU  - Suthummanon, Sakesun
PY  - 2019
TI  - Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 5
Y2  - 2019
SP  - 1577
EP  - 1583
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - disaster preparedness; humanitarian logistics; location-allocation; relief distribution.
N2  - None can predict a disaster precisely: where, when, and how big a disaster will strike one area. This situation leads to uncertainty in such as required demand and supply availabilities. To an area that has been identified threatening by a natural hazard, a possible disaster scenario may compile. Since time is vital in disaster response operations, developing strategies to speed up emergency response is necessitated. This study is aimed to develop a stochastic model for a location-allocation problem in responding to a forecasted disaster. Our stochastic approach recommends a number and locations of local distribution centers (LDCs) that are required to be set up in the initial stage of the response phase and a number of relief items that will be dispatched to survivors in the affected areas through the proposed relief network. A mixed delivery strategy is applied in a 3-tier of a relief distribution network encompassing warehouses, LDCs, and shelters. This strategy provides the affected people in some of the shelters to receive relief items directly from nearby warehouses, while the remaining shelters will get supplies indirectly through the opened LDCs. Comparing to the indirect strategy that shelters are permitted to receive aid goods only through LDCs, the proposed mixed delivery strategy provides more efficient and effective relief distribution. The probable tsunami in West Sumatra, Indonesia, known as Mentawai Megathrust, is employed to illustrate the developed model. The model will be beneficial for disaster managers to improve the performance of a disaster relief operation.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=4655
DO  - 10.18517/ijaseit.9.5.4655

RefWorks

RT Journal Article
ID 4655
A1 Patrisina, Reinny
A1 Sirivongpaisal, Nikorn
A1 Suthummanon, Sakesun
T1 Designing a Relief Distribution Network under Uncertain Situation: Preparedness in Responding to Disaster
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 5
YR 2019
SP 1577
OP 1583
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 disaster preparedness; humanitarian logistics; location-allocation; relief distribution.
AB None can predict a disaster precisely: where, when, and how big a disaster will strike one area. This situation leads to uncertainty in such as required demand and supply availabilities. To an area that has been identified threatening by a natural hazard, a possible disaster scenario may compile. Since time is vital in disaster response operations, developing strategies to speed up emergency response is necessitated. This study is aimed to develop a stochastic model for a location-allocation problem in responding to a forecasted disaster. Our stochastic approach recommends a number and locations of local distribution centers (LDCs) that are required to be set up in the initial stage of the response phase and a number of relief items that will be dispatched to survivors in the affected areas through the proposed relief network. A mixed delivery strategy is applied in a 3-tier of a relief distribution network encompassing warehouses, LDCs, and shelters. This strategy provides the affected people in some of the shelters to receive relief items directly from nearby warehouses, while the remaining shelters will get supplies indirectly through the opened LDCs. Comparing to the indirect strategy that shelters are permitted to receive aid goods only through LDCs, the proposed mixed delivery strategy provides more efficient and effective relief distribution. The probable tsunami in West Sumatra, Indonesia, known as Mentawai Megathrust, is employed to illustrate the developed model. The model will be beneficial for disaster managers to improve the performance of a disaster relief operation.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=4655
DO  - 10.18517/ijaseit.9.5.4655