TY - GEN
T1 - A hybrid symbiotic organisms and variable neighborhood searches to minimize response time
AU - Kurnianingtyas, Diva
AU - Umam, Muhammad Isnaini Hadiyul
AU - Santosa, Budi
N1 - Publisher Copyright:
© 2019 Author(s).
PY - 2019/4/23
Y1 - 2019/4/23
N2 - Medical Emergency Services (MES) are an important element in the modern healthcare system. MES become an important issue because it plays an essential role in saving lives and reducing mortality and disability. The ability of MES is to save lives depending on the time it takes for an ambulance to arrive on the scene after an emergency call received. The purpose of this study is to overcome the problems in the limitation of the number of ambulances required and the minimization of response time. This paper develops the hybrid of Symbiotic Organisms Search and Variable Neighbourhood Search to determine the location and amount of ambulance to be allocated. Our findings showed that for the current system, the ideal limit time is 15 minutes, considering the amount of demand that can be covered. This scenario is able to produce a response time of around 13 minutes and is able to meet the entire demand. To minimize response time, we can use the 8, 8 minutes maximum covering time scenario, so the response time becomes 6 - 8 minutes. The consequence is the existing system need 11-12 stations and 15 unit ambulances to allocate to cover max 15 demands.
AB - Medical Emergency Services (MES) are an important element in the modern healthcare system. MES become an important issue because it plays an essential role in saving lives and reducing mortality and disability. The ability of MES is to save lives depending on the time it takes for an ambulance to arrive on the scene after an emergency call received. The purpose of this study is to overcome the problems in the limitation of the number of ambulances required and the minimization of response time. This paper develops the hybrid of Symbiotic Organisms Search and Variable Neighbourhood Search to determine the location and amount of ambulance to be allocated. Our findings showed that for the current system, the ideal limit time is 15 minutes, considering the amount of demand that can be covered. This scenario is able to produce a response time of around 13 minutes and is able to meet the entire demand. To minimize response time, we can use the 8, 8 minutes maximum covering time scenario, so the response time becomes 6 - 8 minutes. The consequence is the existing system need 11-12 stations and 15 unit ambulances to allocate to cover max 15 demands.
UR - http://www.scopus.com/inward/record.url?scp=85064993238&partnerID=8YFLogxK
U2 - 10.1063/1.5098270
DO - 10.1063/1.5098270
M3 - Conference contribution
AN - SCOPUS:85064993238
T3 - AIP Conference Proceedings
BT - 4th International Conference on Industrial, Mechanical, Electrical, and Chemical Engineering
A2 - Anwar, Miftahul
A2 - Adriyanto, Feri
A2 - Ibrahim, Sutrisno
A2 - Sulistyo, Meiyanto Eko
A2 - Pramono, Subuh
A2 - Apribowo, Chico Hermanu Brillianto
A2 - Maghfiroh, Hari
A2 - Ibrahim, Muhammad Hamka
PB - American Institute of Physics Inc.
T2 - 4th International Conference on Industrial, Mechanical, Electrical, and Chemical Engineering, ICIMECE 2018
Y2 - 9 October 2018 through 11 October 2018
ER -