Klasifikasi Indikator Kinerja Rantai Pasok Kesehatan Menggunakan Metode SCOR
DOI:
https://doi.org/10.55826/jtmit.v4i3.1027Keywords:
Fuzzy Delphi Method, Performance Indicators, Supply Chain Operations ReferenceAbstract
Memastikan ketersediaan, dan ketahanan sistem layanan kesehatan maka dibutuhkan penilaian serta perkembangan pada kinerja rantai pasok kesehatan. Dengan banyaknya indikator kinerja ini, mengharuskan adanya pemahaman dari setiap indikator kinerja yang berkaitan agar strategi peningkatan dapat dilakukan secara efektif. Penelitian ini bertujuan untuk mengklasifikasikan indikator kinerja rantai pasok kesehatan menggunakan pendekatan Supply Chain Operations Reference (SCOR). Metode ini memiliki lima proses utama pada rantai pasok yaitu Plan, Source, Make, Delivery, and Return. Lalu dilakukan validasi indikator kinerja menggunakan fuzzy delphi Method hingga mendapatkan nilai crisp >0.8 agar indikator tersebut dapat dikatakan tervalidasi. Hasil penelitian ini menunjukkan bahwa terdapat 27 indikator kinerja yang tersebar dalam 5 dimensi proses utama berdasarkan pendekatan SCOR dan mendapatkan rata-rata nilai crisp sebesar 0.851. Dengan demikian, pelaku kegiatan rantai pasok dapat lebih optimal apabila menggunakan 27 indikator kinerja tersebut sebagai pedoman.
References
H. Babu and S. Yadav, “A supply chain risk assessment index for small and medium enterprises in post COVID-19 era,” Supply Chain Analytics, vol. 3, p. 100023, Sep. 2023, doi: 10.1016/j.sca.2023.100023.
S. Cui, X. Gu, W. Xie, and D. Wu, “Research on Cold Chain Routing Optimization of Multi-distribution Center Considering Traffic Performance Index,” Procedia Comput Sci, vol. 221, pp. 1343–1350, 2023, doi: 10.1016/j.procs.2023.08.124.
M. Niaz and U. Nwagwu, “Managing Healthcare Product Demand Effectively in The Post-Covid-19 Environment: Navigating Demand Variability and Forecasting Complexities,” American Journal of Economic and Management Business (AJEMB), vol. 2, no. 8, pp. 316–330, Sep. 2023, doi: 10.58631/ajemb.v2i8.55.
M. Tavana, D. Di Caprio, and R. Rostamkhani, “A total quality management action plan assessment model in supply chain management using the lean and agile scores,” Journal of Innovation & Knowledge, vol. 10, no. 1, p. 100633, Jan. 2025, doi: 10.1016/j.jik.2024.100633.
N. Mapowo, L. Bam, I. H. de Kock, and J. van Eeden, “Enabling product categorisation in a public healthcare pharmaceutical supply chain by underscoring the product attributes taxonomy,” in 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), IEEE, Jun. 2019, pp. 1–8. doi: 10.1109/ICE.2019.8792652.
E. Kusrini, K. N. Safitri, and A. Fole, “Design Key Performance Indicator for Distribution Sustainable Supply Chain Management,” in 2020 International Conference on Decision Aid Sciences and Application (DASA), IEEE, Nov. 2020, pp. 738–744. doi: 10.1109/DASA51403.2020.9317289.
N. Aisyah, N. A. Sasongko, Y. Wahyono, M. Anda, and A. Trench, “Estimating a national critical mineral security index in Indonesia using analytical hierarchy process,” Environmental and Sustainability Indicators, vol. 24, p. 100510, Dec. 2024, doi: 10.1016/j.indic.2024.100510.
I.-W. G. Kwon, S.-H. Kim, and D. G. Martin, “Healthcare supply chain management; strategic areas for quality and financial improvement,” Technol Forecast Soc Change, vol. 113, pp. 422–428, Dec. 2016, doi: 10.1016/j.techfore.2016.07.014.
W. Bao, K. Xu, and Q. Leng, “Research on the Financial Credit Risk Management Model of Real Estate Supply Chain Based on GA-SVM Algorithm: A Comprehensive Evaluation of AI Model and Traditional Model,” Procedia Comput Sci, vol. 243, pp. 900–909, 2024, doi: 10.1016/j.procs.2024.09.108.
M. Fallahnezhad, M. Langarizadeh, and A. Vahabzadeh, “Key performance indicators of hospital supply chain: a systematic review,” BMC Health Serv Res, vol. 24, no. 1, p. 1610, Dec. 2024, doi: 10.1186/s12913-024-11954-5.
I. F. Rodríguez-Gámez, A. A. Maldonado-Macías, E. A. Lagarda-Leyva, J. L. Hernández-Arellano, and Y. Rodríguez, “A Continuous Improvement Instrument for the evaluationof the ergonomics management system in the supply chain,” Heliyon, vol. 10, no. 24, p. e40956, Dec. 2024, doi: 10.1016/j.heliyon.2024.e40956.
J. Zhong and F. Jia, “Supply chain risk transmission monitoring based on graphic evaluation and review technique,” Heliyon, vol. 11, no. 1, p. e41462, Jan. 2025, doi: 10.1016/j.heliyon.2024.e41462.
Y. Tadayonrad and A. B. Ndiaye, “A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality,” Supply Chain Analytics, vol. 3, p. 100026, Sep. 2023, doi: 10.1016/j.sca.2023.100026.
I. P. Vlachos, “Key performance indicators of the impact of radio frequency identification technologies on supply chain management,” International Journal of RF Technologies, vol. 4, no. 2, pp. 127–146, Feb. 2013, doi: 10.3233/RFT-120041.
I. N. Pujawan and E. Mahendrawathi, Supply Chain Management Third Edition , Third Edition. Yogyakarta, 2017.
S. Biswas, “Measuring performance of healthcare supply chains in India: A comparative analysis of multi-criteria decision making methods,” Decision Making: Applications in Management and Engineering, vol. 3, no. 2, pp. 162–189, Oct. 2020, doi: 10.31181/dmame2003162b.
J. Jemai and B. Sarkar, “Optimum Design of a Transportation Scheme for Healthcare Supply Chain Management: The Effect of Energy Consumption,” Energies (Basel), vol. 12, no. 14, p. 2789, Jul. 2019, doi: 10.3390/en12142789.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Mohamad Fismanda Shabari, Iwan Vanany
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
