Evaluating Supply Chain Resilience Strategies in Passion Fruit Agro-Industrial Processing Using the SCOR 14.0 Racetrack Framework
DOI:
https://doi.org/10.21111/atj.v10i1.17Keywords:
Agroindustry, Passion Fruit, SCOR 14.0, Supply Chain Resilience, Supply Chain PerformanceAbstract
Global agro-industrial supply chains face increasing risks of disruption due to climate variability, seasonal availability of raw materials, and weak coordination among stakeholders. The passion fruit processing industry in Makassar is a perishable agroindustry highly vulnerable to fluctuations in raw material supply, production interruptions, and delivery delays. This study aims to evaluate and improve supply chain resilience using the SCOR Digital Standard 14.0 Racetrack Framework, with an emphasis on the performance attributes of reliability, responsiveness, and agility. A quantitative descriptive case study approach was employed using direct observations, semi-structured interviews, and analysis of historical data on production, inventory, and distribution activities. Resilience performance was assessed using SCOR 14.0 Level 1–3 metrics and benchmarked against internal performance targets. Root causes of performance gaps were identified using Fishbone diagrams, while improvement initiatives were structured into project charters and prioritized through an impact–effort assessment. The results indicate substantial performance gaps before improvement. Reliability metrics Level 3 showed Customer Commit Date Achievement (RL3.3) at 80% and Orders Received Damage-Free (RL3.10) at 86%, both below targets. Responsiveness indicators, including Source Order Cycle Time (RS3.1) and Make Order Cycle Time (RS3.12), achieved only 75% and 78%, respectively. Agility exhibited the largest deficiencies, particularly in Upside Source Flexibility (AG3.2) and Upside Make Flexibility (AG3.9). Following the implementation of 18 prioritized improvement projects, all resilience metrics reached or closely approached target levels. These findings confirm that the SCOR 14.0 Racetrack Framework provides a systematic and effective approach for enhancing supply chain resilience in perishable agro-industries through structured operational and managerial interventions.
References
Ahmad, T. B. (2022). The Implementation Of Scor 12.0 Racetrack Model In Improving. https://dspace.uii.ac.id/handle/123456789/53214
Alessandria, G., Khan, S. Y., Khederlarian, A., Mix, C., & Ruhl, K. J. (2023). The aggregate effects of global and local supply chain disruptions: 2020–2022. Journal of International Economics, 146, 103788. https://doi.org/10.1016/j.jinteco.2023.103788
Alfaqiyah, E., Alzubi, A., Aljuhmani, H. Y., & Öz, T. (2025). How Industry 4.0 Technologies Enhance Supply Chain Resilience: The Interplay of Agility, Adaptability, and Customer Integration in Manufacturing Firms. Sustainability, 17(17), 7922. https://doi.org/10.3390/su17177922
Arjuna, A., Santoso, S., & Heryanto, R. M. (2022). Green Supply Chain Performance Measurement using Green SCOR Model in Agriculture Industry: A Case Study. Jurnal Teknik Industri: Jurnal Keilmuan Dan Aplikasi Teknik Industri, 24(1), 53–60. https://doi.org/10.9744/jti.24.1.53-60
ASCM. (2022). Supply Chain Operations Reference Model SCOR Digital Standard. 1–18. https://www.ascm.org/globalassets/ascm_website_assets/docs/intro-and-front-matter-scor-digital-standard2.pdf
Brandtner, P., & Dakon, M. (2025). AI-Powered Forecasting Under Disruption: Lessons from the Covid-19 Crisis for Adaptive Supply Chains (pp. 129–145). https://doi.org/10.1007/978-3-031-99958-1_10
Farhan, R., & Candra, V. (2024). Production Management and Marketing Strategies for Enhancing Passion Fruit Syrup Sales: A Comprehensive Analysis. Journal of Economics, Entrepreneurship, Management Business and Accounting, 2(2), 91–99. https://doi.org/10.61255/jeemba.v2i2.440
Fole, A., Alisyahbana, T., Safutra, N. I., Muh. Ridzwan, & Alifah Dwi Wulandari Putri. (2025). An Evaluation of Supply Chain Reliability Strategies in the Garment Industry Based on the SCOR 14.0 Racetrack Framework. Cognitia : International Engineering Journal, 1(3), 92–106. https://doi.org/10.63288/ciej.v1i3.11
Fole, A., Immawan, T., Kusrini, E., Mail, A., Dahlan, M., Alisyahbana, T., Pawennari, A., & Malik, R. (2024). Gap Analysis And Enhancement Strategy For Supply Chain Performance In The Handicraft Industry of ISR Bone SMES: A SCOR Racetrack Approach. Journal of Industrial Engineering Management, 9(3), 23–32. https://doi.org/10.33536/jiem.v9i3.1865
Fole, A., & Kulsaputro, J. (2023). Implementasi Lean Manufacturing Untuk Mengurangi Waste Pada Proses Produksi Sirup Markisa. Journal of Industrial Engineering Innovation, 1(1), 23–29. https://doi.org/10.58227/jiei.v1i1.59
Goraya, M. A. S., Yaqub, M. Z., Khan, M. A., Akram, M. S., & Alofaysan, H. (2026). Transforming performance: how agility, response, resilience and support shape success in digital strategies. Information Technology & People, 39(1), 325–353. https://doi.org/10.1108/ITP-05-2024-0592
Hamidu, Z., Oppong, P. B., Asafo-Adjei, E., & Adam, A. M. (2022). On the Agricultural Commodities Supply Chain Resilience to Disruption: Insights from Financial Analysis. Mathematical Problems in Engineering, 2022, 1–12. https://doi.org/10.1155/2022/9897765
Hermawan, D., Ginantaka, A., & Syarbaini, A. (2024). Risk Analysis Of Production Machinery Maintenance At Pt. Xyz Uses Fuzzy Failure Mode And Effect Analysis Method: Case Study In Amdk Industry. Agroindustrial Technology Journal, 8(2), 94–111. https://doi.org/10.21111/atj.v8i2.12116
Karim, Md. R., & Talukder, K. A. (2024). Impact Of Iot And Blockchain Integration On Real-Time Supply Chain Transparency. International Journal of Scientific Interdisciplinary Research, 05(02), 449–486. https://doi.org/10.63125/2yc6e230
Katsaliaki, K., Galetsi, P., & Kumar, S. (2022). Supply chain disruptions and resilience: a major review and future research agenda. Annals of Operations Research, 319(1), 965–1002. https://doi.org/10.1007/s10479-020-03912-1
Khan, M. M., Bashar, I., Minhaj, G. M., Wasi, A. I., & Hossain, N. U. I. (2023). Resilient and sustainable supplier selection: an integration of SCOR 4.0 and machine learning approach. Sustainable and Resilient Infrastructure, 8(5), 453–469. https://doi.org/10.1080/23789689.2023.2165782
Kulsaputro, J., Fole, A., Safitri, K. N., & Aini, N. (2025). The Role of Resilient Supply Chains in Enhancing Competitiveness and Performance of SMEs: A Case Study in the SMI Sector. Jurnal Serambi Engineering, 10(2). https://jse.serambimekkah.id/index.php/jse/article/view/865
Kusrini, E., Helia, V. N., Miranda, S., & Asshiddiqi, F. (2023). SCOR Racetrack to Improve Supply Chain Performance. Mathematical Modelling of Engineering Problems, 10(3), 915–920. https://doi.org/10.18280/mmep.100322
Le Roux, S., & Goedhals-Gerber, L. L. (2025). Post-Harvest Cold Chain Efficiency in Pome Fruit Operations: Analysing Time and Process Bottlenecks. Logistics, 9(4), 146. https://doi.org/10.3390/logistics9040146
Lim, S., & Luo, Y. (2025). A SCOR-Based Two-Stage Network Range-Adjusted Measure Data Envelopment Analysis Approach for Evaluating Sustainable Supply Chain Efficiency: Evidence from the Korean Automotive Parts Industry. Sustainability, 17(19), 8607. https://doi.org/10.3390/su17198607
Olaleye, I. A., Mokogwu, C., Olufemi-Phillips, A. Q., & Adewale, T. T. (2024). Transforming supply chain resilience: Frameworks and advancements in predictive analytics and data-driven strategies. Open Access Research Journal of Multidisciplinary Studies, 8(2), 085–093. https://doi.org/10.53022/oarjms.2024.8.2.0065
Parra-Hernández, N. A., García-Santamaría, L. E., Fernández-Echeverría, E., Fernández-Lambert, G., & Martínez-Mendoza, E. (2024). Risks and resilient strategies in Agro-Industrial supply chains - A Scoping Review 2013-2023. Logforum, 20(1), 39–54. https://doi.org/10.17270/J.LOG.001012
Prakash, G. (2022). Resilience in food processing supply chain networks: empirical evidence from the Indian dairy operations. Journal of Advances in Management Research, 19(4), 578–603. https://doi.org/10.1108/JAMR-12-2021-0376
Safitri, K. N., Fole, A., Aini, N., & Negara, P. P. S. (2025). Strategies for Enhancing Supply Chain Efficiency in the Agricultural Sector Through the Implementation of the SCOR Racetrack Method. Agroindustrial Technology Journal, 9(1), 90–100. https://doi.org/10.21111/atj.v9i1.14299
Sutar, P. S., Kolte, G. C., & Yamini, S. (2025). Food supply chain disruptions and its resilience: a framework and review for resilience strategies in the digital era. OPSEARCH, 1–35. https://doi.org/10.1007/s12597-025-00915-z
Tarigan, L., & Rahmah, D. M. (2025). Business Development Strategy for Coffee Agroindustry Using Analytical Hierarchy Process and Quantitative Strategic Planning Matrix Methods. Agroindustrial Technology Journal, 9(1), 101–121. https://doi.org/10.21111/atj.v9i1.14237
Wirda, B., Irwandi, P., Muflikh, Y. N., & Nurmalina, R. (2025). The use of supply chain operations reference (SCOR) in measuring the performance of supply chain management in agribusiness sector. AGROMIX, 16(1), 71–91. https://doi.org/10.35891/agx.v16i1.5742
Yáñez Hernández, O. I. (2025). Improving supply chain performance through the SCOR model: A case study in the agroindustrial sector. Ingeniería Investigación y Tecnología, 26(4), 1–14. https://doi.org/10.22201/fi.25940732e.2025.26.4.031
Downloads
Submitted
Accepted
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Agroindustrial Technology Journal
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author whose published manuscript approved the following provisions:
1. The right of publication of all material published in the journal / published in the Agroindustrial Technology Journal is held by the editorial board with the knowledge of the author (moral rights remain the author of the script).
2. The formal legal provisions for access to digital articles of this electronic journal are subject to the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), which means that Agroindustrial Technology Journal reserves the right to save, transmit media or format, Database), maintain, and publish articles without requesting permission from the Author as long as it keeps the Author's name as the owner of Copyright.
3. Printed and electronically published manuscripts are open access for educational, research and library purposes. In addition to these objectives, the editorial board shall not be liable for violations of copyright law.
