The Supply Chain Performance Measurement and Determination of Improvement Priorities Using the Supply Chain Operations Reference –Digital Standard (SCOR DS) and Analytic Network Process (ANP) Methods
(Case Study: Waste Management at Sendangsari)
DOI:
https://doi.org/10.14421/jiehis.5294Keywords:
Supply Chain, SCOR Digital Standard, ANP, OMAX, TLS, Waste Management at Sendangsari, Performance, Waste ProcessingAbstract
Effective and efficient waste management remains a key challenge in supporting environmental sustainability at the regional level. This study was conducted at the Sendangsari Integrated Waste Management Site (TPST), located in Sleman, Yogyakarta. The aim of the research is to measure the performance of the waste processing supply chain and to determine the priority areas for improvement. The method used is the Supply Chain Operations Reference – Digital Standard (SCOR DS) approach to identify and categorize performance indicators based on six core processes: Plan, Order, Source, Transform, Fulfill, and Return. The Analytic Network Process (ANP) method is employed to assign weights to 18 Key Performance Indicators (KPIs) based on their level of influence and interrelation. These weights are then applied using the Objective Matrix (OMAX) method to calculate the performance scores for each indicator, which are subsequently classified using the Traffic Light System (TLS). The results show that TPST Sendangsari achieved an overall performance score of 7, with 9 KPIs falling in the green category, 7 in yellow, and 2 in red. These findings indicate that TPST Sendangsari requires further evaluation and improvement efforts, particularly for KPIs in the red and yellow categories, to enhance its overall performance.
References
Anisa, L. N., Andawiah S., & Utama, I. A. (2022). Implementasi Supply Chain Management Untuk Meningkatkan Kinerja Logistik Perusahaan. 11(1), 460–471. https://doi.org/https://doi.org/10.30651/jms.v10i1.25469
ASCM. (2025, Januari 28). Supply Chain Operations Reference (SCOR) Digital Standard. Association of Supply Chain Management, from. https://www.ascm.org/corporate-solutions/standards-tools/scor-ds/
Firmansyah, I., & Mirwan M. (2022). Perencanaan Ulang Tempat Pengolahan Sampah Terpadu (TPST) Tambakrejo Kecamatan Waru Kabupaten Sidoarjo. INSOLOGI: Jurnal Sains Dan Teknologi, 1(6), 835–843. https://doi.org/10.55123/insologi.v1i6.1193
Frederico, G. F., Garza, J. A., Kumar, A., & Kumar, V. (2021). Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach. International Journal of Productivity and Performance Management, 70(4), 789–807. https://doi.org/10.1108/IJPPM-08-2019-0400
Jodlbauer, H., Brunner, M., Bachmann, N., Tripathi, S., & Thürer, M. (2023). Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action. Logistics, 7(4), 1–19. https://doi.org/10.3390/logistics7040070
Näslund, D., & Hulthen, H. (2012). Supply chain management integration: A critical analysis. Benchmarking, 19(4), 481–501. https://doi.org/10.1108/14635771211257963
Perdana, Y. R., & Ambarwati, S. (2012). Penentuan Prioritas Perbaikan Kinerja Supply Chain Menggunakan Metode Analytic Network Process. Jurnal Sains, Teknologi Dan Industri, 10(1), 42–50.
Prakoso. I. (2022). Productivity Analysis of Split Stone Production Using Objective Matrix (Omax) Method (A Case Study). Journal of Industrial Engineering and Halal Industries, 3(1), 41–48. https://doi.org/10.14421/jiehis.3498
Prihantini N., Febryanto, Rafeyfa A., & Sahidul I. (2024). Analisis Efisiensi Produktivitas Bank Sampah di Kabupaten Sleman Tahun 2024 Menggunakan Data Envelopment Analysis (DEA). 3(2), 67–83. https://doi.org/https://doi.org/10.14421/skiej.2024.3.2.2484
Pujawan, N, I., & Geraldin, L. H. (2009). House of risk: a model for proactive supply chain risk management. Business Process Management Journal, 15(6), 953–967. https://doi.org/10.1108/14637150911003801
Purnama, A. R., & Ciptomulyono, U. (2011). Model Optimasi Alokasi Pengelolaan Sampah Dengan Pendekatan Inexact Fuzzy Linear (Studi Kasus: Pengelolaan Sampah Di Kota Malang). Prosiding Seminar Nasional Manajemen Teknologi XIV, July 2011
Sahwan, F. L. (2018). Tempat Pengolahan Sampah Terpadu (Tpst) Urgensi Dan Implementasinya. Jurnal Rekayasa Lingkungan, 6(2), 151–157. https://doi.org/10.29122/jrl.v6i2.1926
Sayrani, L. P., & Tamunu, L. M. (2020). Kewargaan dan Kolaborasi Pemecahan Masalah Publik: Studi Isu Sampah di Kota Kupang. Timorese Journal of Public Health, 2(1), 1–13. https://doi.org/10.35508/tjph.v2i1.2191
Taherdoost, H., & Madanchian, M. (2023). Analytic Network Process (ANP) Method: A Comprehensive Review of Applications, Advantages, and Limitations. Journal of Data Science and Intelligent Systems, 1(1), 12–18. https://doi.org/10.47852/bonviewjdsis3202885
Yuliesti, K. D., Suripin, S., & Sudarno, S. (2020). Strategi Pengembangan Pengelolaan Rantai Pasok Dalam Pengelolaan Sampah Plastik. Jurnal Ilmu Lingkungan, 18(1), 126–132. https://doi.org/10.14710/jil.18.1.126-132
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