DOI: https://doi.org/10.14710/jati.17.3.157-167

HEALTHCARE SC DALAM DISASTER OPERATION DI INDONESIA: STATE OF THE ART

*Samana Yoga  -  Universitas Surabaya, Indonesia
Amelia Santoso scopus publons  -  Universitas Surabaya, Indonesia

Citation Format:
Abstract

Ketika terjadi bencana alam, korban baik yang meninggal, maupun yang selamat membutuhkan bantuan seperti makanan, air bersih, farmasi, tenda peralatan medis, dan tenaga medis. Saat terjadi bencana alam, bantuan untuk layanan kesehatan (healthcare) dapat dikategorikan menjadi relief goods, seperti barang medis dan service goods, seperti tim medis. Healthcare dalam kondisi normal berbeda dengan healthcare dalam kondisi bencana. Healthcare dalam kondisi bencana atau yang dikenal dengan healthcare dalam operasi kemanusiaan (humanitarian operation) memiliki sifat yang mendadak dan mendesak sehingga sulit untuk diprediksi. Operasi kemanusiaan pada umumnya membutuhkan jaringan supply chain (SC) yang terkait dengan healthcare, termasuk farmasi dan tenaga medis. Namun, tidak seperti healthcare pada umumnya, healthcare dalam operasi kemanusiaan memiliki sifat yang tiba-tiba dan mendesak, sehingga lebih sulit untuk diprediksi. Penelitian ini merupakan studi literatur terkait penelitian healthcare SC dalam operasi kemanusiaan. Penelitian-penelitian tersebut dikategorikan ke dalam tiga tema: healthcare, disaster, dan healthcare in natural disaster. Topik penelitian berisi Operation Management, Coordination Mechanism, Logistic Operation, Funding, Scheduling, Location Optimization, Performance, Procurement, Information Technology, Inventory Management & Control, Service Management, dan Strategy Management. Tipe dari metode penelitian berisi Optimization, Simulation, Case Study, Literature Review, Empirical Study, and Theory/Conceptual.

 

Abstract

[Title: Healthcare SC in Disaster Operation in Indonesia: State of the Art] When a natural disaster occurs, there are always casualties. Both the dead and the survivors need assistance such as food, clean water, pharmacy, tent, medical equipment, and medical personnel. When a natural disaster occurs, assistance for healthcare can be categorized into relief goods, such as medical goods and service goods, such as medical teams. Healthcare under normal conditions is different from healthcare in disaster conditions. Healthcare in a disaster condition or known as healthcare in humanitarian operation, has a sudden and urgent nature, making it difficult to predict. The humanitarian operation generally requires a supply chain (SC) network related to healthcare, including pharmaceuticals and medical personnel. However, unlike healthcare in general, healthcare in humanitarian operations has a sudden and urgent nature, making it more difficult to predict. This paper is a literature study related to research in healthcare SC in humanitarian operations and can be categorized into three themes: healthcare, disaster, and healthcare in a natural disaster. The topic research contains Operation Management, Coordination Mechanism, Logistic Operation, Distribution, Funding, Scheduling, Location Optimization, Performance, Procurement, Information Technology, Inventory Management & Control, Service Management, and Strategy Management The type of research methods contains Optimization, Simulation, Case Study, Literature Review, Empirical Study, and Theory/Conceptual.

Keywords: disasters; emergency; healthcare; resource

Fulltext View|Download
Keywords: bencana; darurat; layanan kesehatan; sumber daya

Article Metrics:

Article Info
Section: Research Articles
Language : ID
Recent articles
PENGEMBANGAN MODEL PERSEDIAAN ECONOMIC ORDER QUANTITY MULTI ITEM DENGAN MEMPERTIMBANGKAN FAKTOR KADALUARSA, ALL UNIT DISCOUNT, DAN KENDALA KAPASITAS ANALISIS LINGKUNGAN KERJA PENGRAJIN BATIK TULIS PADA PEKERJA TETAP DAN PEKERJA BORONG LEPAS DI DESA WISATA JARUM PERANCANGAN APLIKASI PERSUASIF YANG MEMBANTU PENGELOLAAN BAHAN MAKANAN UNTUK MENGURANGI SAMPAH MAKANAN DALAM SEKTOR RUMAH TANGGA More recent articles
Most cited articles
PEMILIHAN PEMASOK COOPER ROD MENGGUNAKAN METODE ANP (Studi Kasus : PT. Olex Cables Indonesia (OLEXINDO)) PENGUKURAN BEBAN KERJA MENTAL DALAM SEARCHING TASK DENGAN METODE RATING SCALE MENTAL EFFORT (RSME) ANALISIS BULLWHIP EFFECT TERHADAP PENERAPAN DISTRIBUTION RESOURCE PLANNING DI PT. MNJ IDENTIFIKASI KEPENTINGAN RELATIF KONSUMEN TERHADAP ROBOT REHABILITASI PASIEN PASCA STROKE DENGAN MENGGUNAKAN CONJOINT ANALYSIS MODEL PEMILIHAN BAHAN PEWARNA ALAM COKLAT BATIK TULIS SOLO DENGAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) More cited articles
  1. Abbas, H. B., & Routray, J. K. (2014). Assessing factors affecting flood-induced public health risks in Kassala State of Sudan. Operations Research for Health Care, 3(4), 215–225. https://doi.org/10.1016/j.orhc.2014.09.001
  2. Aitken, P., Leggat, P., Robertson, A., Harley, H., Speare, R., & Leclercq, M. (2009). Pre- and post-deployment health support provided to Australian Disaster Medical Assistance Team members: Results of a national survey. Travel Medicine and Infectious Disease, 7(5), 305–311. https://doi.org/10.1016/j.tmaid.2009.03.001
  3. Ali Torabi, S., Shokr, I., Tofighi, S., & Heydari, J. (2018). Integrated relief pre-positioning and procurement planning in humanitarian supply chains. Transportation Research Part E: Logistics and Transportation Review, 113(October 2017), 123–146. https://doi.org/10.1016/j.tre.2018.03.012
  4. Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475–493. https://doi.org/10.1016/j.ejor.2005.05.016
  5. Andersson-Sköld, Y., Bergman, R., Johansson, M., Persson, E., & Nyberg, L. (2013). Landslide risk management - A brief overview and example from Sweden of current situation and climate change. International Journal of Disaster Risk Reduction, 3(1), 44–61. https://doi.org/10.1016/j.ijdrr.2012.11.002
  6. Arya, V., Deshmukh, S. G., & Bhatnagar, N. (2015). High Technology Health Care Supply Chains: Issues in Collaboration. Procedia - Social and Behavioral Sciences, 189, 40–47. https://doi.org/10.1016/j.sbspro.2015.03.190
  7. Ashar, M., Suwa, H., Arakawa, Y., & Yasumoto, K. (2016). Priority medical image delivery using DTN for healthcare workers in volcanic emergency. Scientific Phone Apps and Mobile Devices, 2(1). https://doi.org/10.1186/s41070-016-0010-9
  8. Assi, T. M., Rookkapan, K., Rajgopal, J., Sornsrivichai, V., Brown, S. T., Welling, J. S., Norman, B. A., Connor, D. L., Chen, S. I., Slayton, R. B., Laosiritaworn, Y., Wateska, A. R., Wisniewski, S. R., & Lee, B. Y. (2012). How influenza vaccination policy may affect vaccine logistics. Vaccine, 30(30), 4517–4523. https://doi.org/10.1016/j.vaccine.2012.04.041
  9. Balcik, B., Beamon, B. M., Krejci, C. C., Muramatsu, K. M., & Ramirez, M. (2010). Coordination in humanitarian relief chains: Practices, challenges and opportunities. International Journal of Production Economics, 126(1), 22–34. https://doi.org/10.1016/j.ijpe.2009.09.008
  10. Balcik, B., Bozkir, C. D. C., & Kundakcioglu, O. E. (2016). A literature review on inventory management in humanitarian supply chains. Surveys in Operations Research and Management Science, 21(2), 101–116. https://doi.org/10.1016/j.sorms.2016.10.002
  11. Becker, P., & Tehler, H. (2013). Constructing a common holistic description of what is valuable and important to protect: A possible requisite for disaster risk management. International Journal of Disaster Risk Reduction, 6, 18–27. https://doi.org/10.1016/j.ijdrr.2013.03.005
  12. Beliën, J., & Forcé, H. (2012). Supply chain management of blood products: A literature review. European Journal of Operational Research, 217(1), 1–16. https://doi.org/10.1016/j.ejor.2011.05.026
  13. Bhakoo, V., & Choi, T. (2013). The iron cage exposed: Institutional pressures and heterogeneity across the healthcare supply chain. Journal of Operations Management, 31(6), 432–449. https://doi.org/10.1016/j.jom.2013.07.016
  14. Biswal, A. K., Jenamani, M., & Kumar, S. K. (2018). Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system. Transportation Research Part E: Logistics and Transportation Review, 109(November 2017), 205–224. https://doi.org/10.1016/j.tre.2017.11.010
  15. Boonmee, C., Arimura, M., & Asada, T. (2018). Location and allocation optimization for integrated decisions on post-disaster waste supply chain management: On-site and off-site separation for recyclable materials. International Journal of Disaster Risk Reduction, 31(July), 902–917. https://doi.org/10.1016/j.ijdrr.2018.07.003
  16. Burkart, C., Besiou, M., & Wakolbinger, T. (2016). The funding—Humanitarian supply chain interface. Surveys in Operations Research and Management Science, 21(2), 31–45. https://doi.org/10.1016/j.sorms.2016.10.003
  17. Çakici, Ö. E., Groenevelt, H., & Seidmann, A. (2011). Using RFID for the management of pharmaceutical inventory-system optimization and shrinkage control. Decision Support Systems, 51(4), 842–852. https://doi.org/10.1016/j.dss.2011.02.003
  18. Caldeira Pedroso, M., Zwicker, R., & Alexandre Souza, C. (2009). RFID adoption: Framework and survey in large Brazilian companies. Industrial Management & Data Systems, 109(7), 877–897. https://doi.org/10.1108/02635570910982256
  19. Cao, C., Li, C., Yang, Q., Liu, Y., & Qu, T. (2018). A novel multi-objective programming model of relief distribution for sustainable disaster supply chain in large-scale natural disasters. Journal of Cleaner Production, 174, 1422–1435. https://doi.org/10.1016/j.jclepro.2017.11.037
  20. Chakravarty, A. K. (2014). Humanitarian relief chain: Rapid response under uncertainty. International Journal of Production Economics, 151, 146–157. https://doi.org/10.1016/j.ijpe.2013.10.007
  21. Chan, H. L., Choi, T. M., & Hui, C. L. (2012). RFID versus bar-coding systems: Transactions errors in health care apparel inventory control. Decision Support Systems, 54(1), 803–811. https://doi.org/10.1016/j.dss.2012.08.004
  22. Chen, D. Q., Preston, D. S., & Xia, W. (2013). Enhancing hospital supply chain performance: A relational view and empirical test. Journal of Operations Management, 31(6), 391–408. https://doi.org/10.1016/j.jom.2013.07.012
  23. Costa, S. R. A. da, Campos, V. B. G., & Bandeira, R. A. de M. (2012). Supply Chains in Humanitarian Operations: Cases and Analysis. Procedia - Social and Behavioral Sciences, 54, 598–607. https://doi.org/10.1016/j.sbspro.2012.09.777
  24. Dasaklis, T. K., Pappis, C. P., & Rachaniotis, N. P. (2012). Epidemics control and logistics operations: A review. International Journal of Production Economics, 139(2), 393–410. https://doi.org/10.1016/j.ijpe.2012.05.023
  25. Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141(2), 561–573. https://doi.org/10.1016/j.ijpe.2012.09.012
  26. Dobrzykowski, D., Saboori Deilami, V., Hong, P., & Kim, S. C. (2014). A structured analysis of operations and supply chain management research in healthcare (1982-2011). International Journal of Production Economics, 147(PART B), 514–530. https://doi.org/10.1016/j.ijpe.2013.04.055
  27. Duan, Q., & Liao, T. W. (2014). Optimization of blood supply chain with shortened shelf lives and ABO compatibility. International Journal of Production Economics, 153, 113–129. https://doi.org/10.1016/j.ijpe.2014.02.012
  28. Dubey, R., Gunasekaran, A., Childe, S. J., Roubaud, D., Fosso Wamba, S., Giannakis, M., & Foropon, C. (2019). Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain. International Journal of Production Economics, 210(June 2018), 120–136. https://doi.org/10.1016/j.ijpe.2019.01.023
  29. Fahimnia, B., Jabbarzadeh, A., Ghavamifar, A., & Bell, M. (2017). Supply chain design for efficient and effective blood supply in disasters. International Journal of Production Economics, 183, 700–709. https://doi.org/10.1016/j.ijpe.2015.11.007
  30. Fakhruddin, S. H. M., & Chivakidakarn, Y. (2014). A case study for early warning and disaster management in Thailand. International Journal of Disaster Risk Reduction, 9, 159–180. https://doi.org/10.1016/j.ijdrr.2014.04.008
  31. Fathalikhani, S., Hafezalkotob, A., & Soltani, R. (2019). Government intervention on cooperation, competition, and coopetition of humanitarian supply chains. Socio-Economic Planning Sciences, May, 100715. https://doi.org/10.1016/j.seps.2019.05.006
  32. Fawcett, A. M., & Fawcett, S. E. (2013). Benchmarking the state of humanitarian aid and disaster relief: A systems design perspective and research agenda. In Benchmarking (Vol. 20, Issue 5). https://doi.org/10.1108/BIJ-07-2011-0053
  33. Fujimoto, T., & Park, Y. W. (2014). Balancing supply chain competitiveness and robustness through “virtual dual sourcing”: Lessons from the Great East Japan Earthquake. International Journal of Production Economics, 147(PART B), 429–436. https://doi.org/10.1016/j.ijpe.2013.07.012
  34. Gatignon, A., Van Wassenhove, L. N., & Charles, A. (2010). The Yogyakarta earthquake: Humanitarian relief through IFRC’s decentralized supply chain. International Journal of Production Economics, 126(1), 102–110. https://doi.org/10.1016/j.ijpe.2010.01.003
  35. Gil, J. C. S., & McNeil, S. (2015). Supply Chain Outsourcing in Response to Manmade and Natural Disasters in Colombia, a Humanitarian Logistics Perspective. Procedia Engineering, 107, 110–121. https://doi.org/10.1016/j.proeng.2015.06.064
  36. Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part E: Logistics and Transportation Review, 138(May), 101967. https://doi.org/10.1016/j.tre.2020.101967
  37. Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information and Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
  38. Gupta, A., Evans, G. W., & Heragu, S. S. (2013). Simulation and optimization modeling for drive-through mass vaccination - A generalized approach. Simulation Modelling Practice and Theory, 37, 99–106. https://doi.org/10.1016/j.simpat.2013.06.004
  39. Gupta, U., & Ramesh, A. (2015). Analyzing the Barriers of Health Care Supply Chain in India: The Contribution and Interaction of Factors. Procedia - Social and Behavioral Sciences, 189, 217–228. https://doi.org/10.1016/j.sbspro.2015.03.217
  40. Gutierrez, M. T. E., & Mutuc, J. E. S. (2018). A Model for Humanitarian Supply Chain: An Operation Research Approach. Procedia Engineering, 212, 659–666. https://doi.org/10.1016/j.proeng.2018.01.085
  41. Haavisto, I., & Kovács, G. (2015). A Framework for Cascading Innovation Upstream the Humanitarian Supply Chain through Procurement Processes. Procedia Engineering, 107(0), 140–145. https://doi.org/10.1016/j.proeng.2015.06.067
  42. Habibi-Kouchaksaraei, M., Paydar, M. M., & Asadi-Gangraj, E. (2018). Designing a bi-objective multi-echelon robust blood supply chain in a disaster. Applied Mathematical Modelling, 55, 583–599. https://doi.org/10.1016/j.apm.2017.11.004
  43. Hale, T., & Moberg, C. R. (2005). Improving supply chain disaster preparedness: A decision process for secure site location. International Journal of Physical Distribution and Logistics Management, 35(3), 195–207. https://doi.org/10.1108/09600030510594576
  44. Hermon, D., Ganefri, Erianjoni, Dewata, I., Iskarni, P., & Syam, A. (2019). A policy model of adaptation mitigation and social risks the volcano eruption disaster of sinabung in Karo regenCY - Indonesia. International Journal of GEOMATE, 17(60), 190–196. https://doi.org/10.21660/2019.60.50944
  45. Hussain, M., Ajmal, M. M., Gunasekaran, A., & Khan, M. (2018). Exploration of social sustainability in healthcare supply chain. Journal of Cleaner Production, 203, 977–989. https://doi.org/10.1016/j.jclepro.2018.08.157
  46. Ji, G., & Zhu, C. (2012). A Study on Emergency Supply Chain and Risk Based on Urgent Relief Service in Disasters. Systems Engineering Procedia, 5, 313–325. https://doi.org/10.1016/j.sepro.2012.04.049
  47. John, L., & Ramesh, A. (2012). Humanitarian supply chain management in India: a SAP‐LAP framework. Journal of Advances in Management Research, 9(2), 217–235. https://doi.org/10.1108/09727981211271968
  48. John, T. J., Gupta, S., Chitkara, A. J., Dutta, A. K., & Borrow, R. (2013). An overview of meningococcal disease in India: Knowledge gaps and potential solutions. Vaccine, 31(25), 2731–2737. https://doi.org/10.1016/j.vaccine.2013.04.003
  49. Kabra, G., & Ramesh, A. (2015). Segmenting Critical Factors for Enhancing the use of IT in Humanitarian Supply Chain Management. Procedia - Social and Behavioral Sciences, 189, 144–152. https://doi.org/10.1016/j.sbspro.2015.03.208
  50. Khan, M., Hussain, M., Gunasekaran, A., Ajmal, M. M., & Helo, P. T. (2018). Motivators of social sustainability in healthcare supply chains in the UAE—Stakeholder perspective. Sustainable Production and Consumption, 14, 95–104. https://doi.org/10.1016/j.spc.2018.01.006
  51. Khosravi, F., & Izbirak, G. (2019). A stakeholder perspective of social sustainability measurement in healthcare supply chain management. Sustainable Cities and Society, 50(July), 101681. https://doi.org/10.1016/j.scs.2019.101681
  52. King, D., Bird, D., Haynes, K., Boon, H., Cottrell, A., Millar, J., Okada, T., Box, P., Keogh, D., & Thomas, M. (2014). Voluntary relocation as an adaptation strategy to extreme weather events. International Journal of Disaster Risk Reduction, 8, 83–90. https://doi.org/10.1016/j.ijdrr.2014.02.006
  53. Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. In International Journal of Physical Distribution & Logistics Management (Vol. 37, Issue 2). https://doi.org/10.1108/09600030710734820
  54. Kumar, A., Ozdamar, L., & Ning Zhang, C. (2008). Supply chain redesign in the healthcare industry of Singapore. Supply Chain Management: An International Journal, 13(2), 95–103. https://doi.org/10.1108/13598540810860930
  55. Kumar, S., & Havey, T. (2013). Before and after disaster strikes: A relief supply chain decision support framework. International Journal of Production Economics, 145(2), 613–629. https://doi.org/10.1016/j.ijpe.2013.05.016
  56. Kwon, I. W. G., Kim, S. H., & Martin, D. G. (2016). Healthcare supply chain management; strategic areas for quality and financial improvement. Technological Forecasting and Social Change, 113, 422–428. https://doi.org/10.1016/j.techfore.2016.07.014
  57. Li, C., Zhang, F., Cao, C., Liu, Y., & Qu, T. (2019). Organizational coordination in sustainable humanitarian supply chain: An evolutionary game approach. Journal of Cleaner Production, 219, 291–303. https://doi.org/10.1016/j.jclepro.2019.01.233
  58. Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., & Flanigan, M. (2011). A logistics model for emergency supply of critical items in the aftermath of a disaster. Socio-Economic Planning Sciences, 45(4), 132–145. https://doi.org/10.1016/j.seps.2011.04.003
  59. Lu, M. T., Lin, S. W., & Tzeng, G. H. (2013). Improving RFID adoption in Taiwan’s healthcare industry based on a DEMATEL technique with a hybrid MCDM model. Decision Support Systems, 56(1), 259–269. https://doi.org/10.1016/j.dss.2013.06.006
  60. Lucchese, A., Marino, A., & Ranieri, L. (2020). Minimization of the Logistic Costs in Healthcare supply chain: A hybrid model. Procedia Manufacturing, 42, 76–83. https://doi.org/10.1016/j.promfg.2020.02.025
  61. Maass, W., & Varshney, U. (2012). Design and evaluation of Ubiquitous Information Systems and use in healthcare. Decision Support Systems, 54(1), 597–609. https://doi.org/10.1016/j.dss.2012.08.007
  62. Machado Guimarães, C., & Crespo de Carvalho, J. (2013). Strategic outsourcing: a lean tool of healthcare supply chain management. Strategic Outsourcing: An International Journal, 6(2), 138–166. https://doi.org/10.1108/SO-11-2011-0035
  63. Manopiniwes, W., & Irohara, T. (2014). A review of relief supply chain optimization. Industrial Engineering and Management Systems, 13(1), 1–14. https://doi.org/10.7232/iems.2014.13.1.001
  64. Marco, C. A., & Kowalenko, T. (2012). Competence and challenges of emergency medicine training as reported by emergency medicine residents. Journal of Emergency Medicine, 43(6), 1103–1109. https://doi.org/10.1016/j.jemermed.2012.05.033
  65. Mathur, B., Gupta, S., Meena, M. L., & Dangayach, G. S. (2018). Healthcare supply chain management: literature review and some issues. Journal of Advances in Management Research, 15(3), 265–287. https://doi.org/10.1108/JAMR-09-2017-0090
  66. Matsuo, H. (2015). Implications of the Tohoku earthquake for Toyota’s coordination mechanism: Supply chain disruption of automotive semiconductors. International Journal of Production Economics, 161, 217–227. https://doi.org/10.1016/j.ijpe.2014.07.010
  67. Meiller, Y., Bureau, S., Zhou, W., & Piramuthu, S. (2011). Adaptive knowledge-based system for health care applications with RFID-generated information. Decision Support Systems, 51(1), 198–207. https://doi.org/10.1016/j.dss.2010.12.008
  68. Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76–84. https://doi.org/10.1016/j.ijpe.2009.10.004
  69. Mohanty, A., & Chakravarty, N. (2013). An epidemiological study of common drugs in the health supply chain: Where does the compass point? Journal of Humanitarian Logistics and Supply Chain Management, 3(1), 52–64. https://doi.org/10.1108/20426741311328510
  70. Moons, K., Waeyenbergh, G., & Pintelon, L. (2019). Measuring the logistics performance of internal hospital supply chains – A literature study. Omega (United Kingdom), 82, 205–217. https://doi.org/10.1016/j.omega.2018.01.007
  71. Mustaffa, N. H., & Potter, A. (2009). Healthcare supply chain management in Malaysia: A case study. Supply Chain Management, 14(3), 234–243. https://doi.org/10.1108/13598540910954575
  72. Nagurney, A., & Nagurney, L. S. (2012). Medical nuclear supply chain design: A tractable network model and computational approach. International Journal of Production Economics, 140(2), 865–874. https://doi.org/10.1016/j.ijpe.2012.07.008
  73. Narayana, S. A., Kumar Pati, R., & Vrat, P. (2014). Managerial research on the pharmaceutical supply chain - A critical review and some insights for future directions. Journal of Purchasing and Supply Management, 20(1), 18–40. https://doi.org/10.1016/j.pursup.2013.09.001
  74. Noham, R., & Tzur, M. (2018). Designing humanitarian supply chains by incorporating actual post-disaster decisions. European Journal of Operational Research, 265(3), 1064–1077. https://doi.org/10.1016/j.ejor.2017.08.042
  75. Park, Y. W., Hong, P., & Roh, J. J. (2013). Supply chain lessons from the catastrophic natural disaster in Japan. Business Horizons, 56(1), 75–85. https://doi.org/10.1016/j.bushor.2012.09.008
  76. Pateman, H., Hughes, K., & Cahoon, S. (2013). Humanizing humanitarian supply chains : A synthesis of key challenges. Asian Journal of Shipping and Logistics, 29(1), 81–102. https://doi.org/10.1016/j.ajsl.2013.05.005
  77. Pujawan, I. N., Kurniati, N., & Wessiani, N. A. (2009). Supply chain management for Disaster Relief Operations: principles and case studies. International Journal of Logistics Systems and Management, 5(6), 679. https://doi.org/10.1504/ijlsm.2009.024797
  78. Purwaningsih, S., Trisnantoro, L., & Donna, B. (2014). Evaluasi Koordinasi Pelayanan Kesehatan Lintas Provinsi Pada Masa Tanggap Darurat Bencana Gunung Merapi Tahun 2010. Jurnal Kebijakan Kesehatan Indonesia, 03(01), 43–51
  79. Rachaniotis, N. P., Dasaklis, T. K., & Pappis, C. P. (2012). A deterministic resource scheduling model in epidemic control: A case study. European Journal of Operational Research, 216(1), 225–231. https://doi.org/10.1016/j.ejor.2011.07.009
  80. Rahimnia, F., & Moghadasian, M. (2010). Supply chain leagility in professional services: How to apply decoupling point concept in healthcare delivery system. Supply Chain Management, 15(1), 80–91. https://doi.org/10.1108/13598541011018148
  81. Rakes, T. R., Deane, J. K., Rees, L. P., & Fetter, G. M. (2014). A decision support system for post-disaster interim housing. Decision Support Systems, 66, 160–169. https://doi.org/10.1016/j.dss.2014.06.012
  82. Ranger, N., & Surminskin, S. (2013). A preliminary assessment of the impact of climate change on non-life insurance demand in the BRICS economies. International Journal of Disaster Risk Reduction, 3(1), 14–30. https://doi.org/10.1016/j.ijdrr.2012.11.004
  83. Reyes, P. M., Li, S., & Visich, J. K. (2012). Accessing antecedents and outcomes of RFID implementation in health care. International Journal of Production Economics, 136(1), 137–150. https://doi.org/10.1016/j.ijpe.2011.09.024
  84. Richey, R. G. (2009). The supply chain crisis and disaster pyramid, A theoretical framework for understanding preparedness and recovery. International Journal of Physical Distribution and Logistics Management, 39(7), 619–628. https://doi.org/10.1108/09600030910996288
  85. Rivera, C., & Wamsler, C. (2014). Integrating climate change adaptation, disaster risk reduction and urban planning: A review of Nicaraguan policies and regulations. International Journal of Disaster Risk Reduction, 7, 78–90. https://doi.org/10.1016/j.ijdrr.2013.12.008
  86. Samuel, C., Gonapa, K., Chaudhary, P. K., & Mishra, A. (2010). Supply chain dynamics in healthcare services. International Journal of Health Care Quality Assurance, 23(7), 631–642. https://doi.org/10.1108/09526861011071562
  87. Santoso, A., Sutanto, R. A. P., Prayogo, D. N., & Parung, J. (2019). Development of fuzzy RUASP model - Grasp metaheuristics with time window: Case study of Mount Semeru eruption in East Java. IOP Conference Series: Earth and Environmental Science, 235(1). https://doi.org/10.1088/1755-1315/235/1/012081
  88. Scarpin, M. R. S., & De Oliveira Silva, R. (2014). Humanitarian logistics: Empirical evidences from a natural disaster. Procedia Engineering, 78, 102–111. https://doi.org/10.1016/j.proeng.2014.07.045
  89. Scavarda, A., Daú, G. L., Scavarda, L. F., & Korzenowski, A. L. (2019). A proposed healthcare supply chain management framework in the emerging economies with the sustainable lenses: The theory, the practice, and the policy. Resources, Conservation and Recycling, 141(October 2018), 418–430. https://doi.org/10.1016/j.resconrec.2018.10.027
  90. Scolobig, A., Linnerooth-Bayer, J., & Pelling, M. (2014). Drivers of transformative change in the Italian landslide risk policy. International Journal of Disaster Risk Reduction, 9, 124–136. https://doi.org/10.1016/j.ijdrr.2014.05.003
  91. Sheu, J. B. (2016). Supplier hoarding, government intervention, and timing for post-disaster crop supply chain recovery. Transportation Research Part E: Logistics and Transportation Review, 90, 134–160. https://doi.org/10.1016/j.tre.2015.09.013
  92. Silva, M. E., Pereira, S. C. F., & Gold, S. (2018). The response of the Brazilian cashew nut supply chain to natural disasters: A practice-based view. Journal of Cleaner Production, 204, 660–671. https://doi.org/10.1016/j.jclepro.2018.08.340
  93. Stewart, G. T., Kolluru, R., & Smith, M. (2009). Leveraging public-private partnerships to improve community resilience in times of disaster. International Journal of Physical Distribution & Logistics Management, 39(5), 343–364. https://doi.org/10.1108/09600030910973724
  94. Syahrir, I, Suparno, S., & Vanany, I. (2018). Strategic management for logistics and supply chain operation in healthcare. IPTEK Journal of Proceedings Series, 0(3), 10. https://doi.org/10.12962/j23546026.y2018i3.3699
  95. Syahrir, Irwan, Suparno, & Vanany, I. (2015). Healthcare and Disaster Supply Chain: Literature Review and Future Research. Procedia Manufacturing, 4(Iess), 2–9. https://doi.org/10.1016/j.promfg.2015.11.007
  96. Tavana, M., Abtahi, A. R., Di Caprio, D., Hashemi, R., & Yousefi-Zenouz, R. (2018). An integrated location-inventory-routing humanitarian supply chain network with pre- and post-disaster management considerations. Socio-Economic Planning Sciences, 64(December 2017), 21–37. https://doi.org/10.1016/j.seps.2017.12.004
  97. Van Wassenhove, L. N. (2006). Blackett memorial lecture humanitarian aid logistics: Supply chain management in high gear. Journal of the Operational Research Society, 57(5), 475–489. https://doi.org/10.1057/palgrave.jors.2602125
  98. VanVactor, J. D. (2012). Strategic health care logistics planning in emergency management. Disaster Prevention and Management: An International Journal, 21(3), 299–309. https://doi.org/10.1108/09653561211234480
  99. Verguet, S., Murphy, S., Anderson, B., Johansson, K. A., Glass, R., & Rheingans, R. (2013). Public finance of rotavirus vaccination in India and Ethiopia: An extended cost-effectiveness analysis. Vaccine, 31(42), 4902–4910. https://doi.org/10.1016/j.vaccine.2013.07.014
  100. Vezyridis, P., Timmons, S., & Wharrad, H. (2011). Going paperless at the emergency department: A socio-technical study of an information system for patient tracking. International Journal of Medical Informatics, 80(7), 455–465. https://doi.org/10.1016/j.ijmedinf.2011.04.001
  101. Wei Teng, C., Foley, L., O’Neill, P., & Hicks, C. (2014). An analysis of supply chain strategies in the regenerative medicine industry - Implications for future development. International Journal of Production Economics, 149, 211–225. https://doi.org/10.1016/j.ijpe.2013.06.006
  102. Yang, Y., & Xu, X. (2015). Post-disaster grain supply chain resilience with government aid. Transportation Research Part E: Logistics and Transportation Review, 76, 139–159. https://doi.org/10.1016/j.tre.2015.02.007

Last update:

  1. An analysis of the socio-economic impacts of the 2021 mountain Semeru Eruption on household level using PLS-SEM

    Deni Kusumawardani, Yessi Rahmawati, Mokhamad Nur Cahyadi, Meifal Rusli, Ana Martina. Letters in Spatial and Resource Sciences, 16 (1), 2023. doi: 10.1007/s12076-023-00351-x

  2. Holistic Nursing and Quran Recitation and its Impact on Floods Survivors in Indonesia

    Tutu A. Ariani, Taty Hernawaty, Budi A. Keliat, Sriyani P. Konara Mudiyanselage, Mei-Feng Lin. Journal of Holistic Nursing, 42 (3), 2024. doi: 10.1177/08980101231210419

Last update: 2024-11-04 11:11:51

No citation recorded.