Facility Location Problem of Dynamic Optimal Location of Hospital Emergency Department in Palembang
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Keywords:
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Optimal Location, Emergency Department, P-Median Problem, TOPSIS Method, Palembang
Abstract
The Emergency Department (ED) is one part of a hospital that provides initial treatment for patients who suffer from illness and injury, which can threaten their survival. The importance of integrated care in the ED is one of the keys to successfully treating patients at an advanced level. This becomes complex because the ED works in a team consisting of various multi-disciplinary sciences and limited human resources, facilities, and infrastructure. In the City of Palembang, 23 hospitals have emergency room facilities from 18 Sub-Districts, by using the TOPSIS (Technique for Others Reference by Similarity to Ideal Solution) method to vary the distance (radius) the optimal location of the emergency department is obtained according to the number of hospitals that have emergency room facilities, namely Ilir Timur I District, Ilir Barat I District, Sukarami District, and Plaju District. Based on the formulation of the p-median model and the completion of the TOPSIS method, the order of Districts that have optimal locations from 18 Sub-Districts that have emergency department facilities in the City of Palembang is obtained.
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Avrahami, T. and U. Israeli (2013). An Improved Heuristic Algorithm for The Special Case of The Set Covering Problem. In International Conference on Industrial Engineering and Engineering Management, 93–97
Bashiri, M. and F. Fotuhi (2009). A Cost Based Set Covering Location Allocation Problem with Unknown Covering Radius. In International Conference on Industrial Engineering and Engineering Management, 1979–1983
Chen, A. Y. and T. Y. Yu (2016). Network Based Temporary Facility Location for The Emergency Medical Services Considering The Disaster Induced Demand and The Transportation Infrastructure in Disaster Response. Transportation Research Part B: Methodological, 91; 408–423
Doungpan, S. (2020). Application The Facility LocationModel for Setting Ready-Mix Concrete Plant: Case Study at Rayong Province, Thailand. In IEEE 7th International Conference on Industrial Engineering and Applications, 615–619
Guzmán, V. C., D. A. Pelta, and J. L. Verdegay (2016). An Approach for Solving Maximal Covering Location Problems
with Fuzzy Constraints. International Journal of Computational Intelligence Systems, 9(4); 734–744
Memari, P., R. Tavakkoli-Moghaddam, M. Partovi, and A. Zabihian (2018). Fuzzy Dynamic Location-Allocation Problem with TemporaryMulti-Medical Centers in Disaster Management. IFAC-Papers Online, 51(11); 1554–1560
Mohri, S. S. and H. Haghshenas (2021). An Ambulance Location Problem for Covering Inherently Rare and Random Road Crashes. Computers & Industrial Engineering, 151; 106937
Octarina, S., D. G. Juita, N. Eliyati, and P. B. J. Bangun (2020). Set CoveringModel in SolvingMultiple Cutting Stock Problem.
Science and Technology Indonesia, 5(4); 121–130
Olugu, E. U., Y. D. Mammedov, J. C. E. Young, and P. S. Yeap (2021). Integrating Spherical Fuzzy Delphi and TOPSIS Technique to Identify Indicators for Sustainable Maintenance Management in The Oil and Gas Industry. Journal of King Saud University Engineering Sciences; 1–16
Özceylan, E., S. Mete, and Z. A. Çil (2017). Optimizing The Location Allocation Problem of Bike Sharing Stations: a Case Study in Gaziantep University Campus. In Proceedings Proceedings of 14th International Symposium on Operations Research of Slovenia, 141–146
Priyandari, Y., C. N. Rosyidi, and A. Setyawan (2011). Sistem Pakar untuk Pemilihan Unit Gawat Darurat Rumah Sakit di Kota Surakarta. Performa: Media Ilmiah Teknik Industri, 10(1); 1–10
Puspita, F. M., S. Octarina, and H. Pane (2019). Pengoptimalan Lokasi Tempat Pembuangan Sementara (TPS) Menggunakan
Greedy Reduction Algorithm (GRA) di Kecamatan Kemuning. Annual Research Seminar, 4(1); 267–274
Sadatasl, A. A., M. H. F. Zarandi, and A. Sadeghi (2016). A Combined Facility Location and Network Design Model with Multi-Type of Capacitated Links and Backup Facility and Non-Deterministic Demand by Fuzzy Logic. In Annual Conference of The North American Fuzzy Information Processing Society, 1–6
Sitepu, R., F. M. Puspita, and S. Romelda (2018). Covering Based Model dalam Pengoptimalan Lokasi IGD Rumah sakit. Annual Research Seminar, 4(1); 261–266
Sitepu, R., F. M. Puspita, S. Romelda, A. Fikri, B. Susanto, and H. Kaban (2019). Set Covering Models in Optimizing The Emergency Unit Location of Health Facility in Palembang. Journal of Physics, 1282(1); 012008
Sürmeli, G., I. Kaya, and M. Erdogan (2015). A Fuzzy Multi-Criteria Decision Making Approach for Choosing a Logistics Center Location in Turkey. In 6th International Conference on Modeling, Simulation, and Applied Optimization, 1–6
Surya, C. (2018). Penilaian Kinerja Dosen Menggunakan Metode TOPSIS (Studi Kasus: Amik Mitra Gama). Jurnal Rekayasa Sistem dan Teknologi Informasi, 2(1); 322–329
Yuliza, E., F. M. Puspita, and S. S. Supadi (2021). Heuristic Approach for Robust Counterpart Open Capacitated Vehicle Routing Problem with Time Windows. Science and Technology Indonesia, 6(2); 53–57
Zhang, K. and S. Zhang (2015). Maximizing The Service Area: a Criterion to Choose Optimal Solution in The Location of Set Covering Problem. In 23rd International Conference on Geoinformatics, 1–3
Zhang, L., J. Zhan, and Y. Yao (2020). Intuitionistic Fuzzy TOPSIS Method Based on CVPIFRS Models: an Application to Biomedical Problems. Information Sciences, 517; 315–339
Authors
Sitepu, R., Puspita, F. M., Lestari, I. ., Indrawati, Yuliza, E. ., & Octarina, S. . (2022). Facility Location Problem of Dynamic Optimal Location of Hospital Emergency Department in Palembang. Science and Technology Indonesia, 7(2), 251–256. https://doi.org/10.26554/sti.2022.7.2.251-256
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