Strategies for Enhancing Supply Chain Efficiency in the Agricultural Sector Through the Implementation of the SCOR Racetrack Method

Strategies for Enhancing Supply Chain Efficiency in the Agricultural Sector Through the Implementation of the SCOR Racetrack Method

Authors

  • Khoerun Nisa Safitri Logistics Engineering Study Program, Faculty of Engineering, Ibn Sina University, Indonesia
  • Asrul Fole Industrial Engineering Study Program, Faculty of Industrial Technology, Muslim University of Indonesia, Indonesia
  • Nurul Aini Logistics Engineering Study Program, Faculty of Engineering, Ibn Sina University, Indonesia
  • Palmadi Putri Surya Negara Department of Agro-Industrial Technology, Faculty of Science and Technology, Universitas Darrusalam Gontor, Indonesia

DOI:

https://doi.org/10.21111/atj.v9i1.14299

Keywords:

supply chain, SCOR racetrack, efficiency, logistics, agricultural

Abstract

Supply chain efficiency in the agricultural sector is a key factor in enhancing productivity and competitiveness. This study aims to analyze strategies for improving supply chain efficiency through the implementation of the SCOR Racetrack method using a quantitative and descriptive approach. Data were collected through surveys and interviews with 150 respondents, consisting of farmers, distributors, and retailers in several agricultural regions in Indonesia. The analysis was conducted using Quantitative Method with Descriptive and Analytical Design methods and supply chain efficiency. The results indicate that the SCOR Racetrack method can improve operational efficiency by 30%, reduce delivery cycle time by 25%, and increase customer satisfaction by up to 40%. The implementation of digital technology in the supply chain contributes to an efficiency increase of 50.9%, while logistics costs decreased by 28% and product damage rates were reduced by 41.6%. Regional analysis shows that South Sulawesi exhibits the highest efficiency level, while West Sumatra still faces challenges in distribution optimization. Key factors influencing the success of implementation include collaboration among stakeholders, adoption of information technology, and enhancement of human resource capabilities. Thus, this study emphasizes that the SCOR Racetrack method can serve as a strategic solution in building a more efficient, sustainable, and competitive agricultural supply chain. Recommendations for future research include the development of an adaptive model based on artificial intelligence to improve demand forecasting and inventory management in the agricultural sector. Keywords: Supply Chain, SCOR Racetrack, Efficiency, Logistics, Agricultural.

References

Adwiyah, R., Syaukat, Y., Indrawan, D., & Mulyati, H. (2023). Examining Sustainable Supply Chain Management (SSCM) Performance in the Palm Oil Industry with the Triple Bottom Line Approach. Sustainability, 15(18), 13362. https://doi.org/10.3390/su151813362

Alimo, P. K. (2021). Reducing postharvest losses of fruits and vegetables through supply chain performance evaluation: an illustration of the application of SCOR model. International Journal of Logistics Systems and Management, 38(3), 384. https://doi.org/10.1504/IJLSM.2021.113438

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, 24(1), 53–60. https://doi.org/10.9744/jti.24.1.53-60

Chopra, S., Sodhi, M., & Lücker, F. (2021). Achieving supply chain efficiency and resilience by using multiâ€level commons. Decision Sciences, 52(4), 817–832. https://doi.org/10.1111/deci.12526

Djekic, I., Batlle-Bayer, L., Bala, A., Fullana-i-Palmer, P., & Jambrak, A. R. (2021). Role of the Food Supply Chain Stakeholders in Achieving UN SDGs. Sustainability, 13(16), 9095. https://doi.org/10.3390/su13169095

Dong, Y., Ahmad, S. F., Irshad, M., Al-Razgan, M., Ali, Y. A., & Awwad, E. M. (2023). The Digitalization Paradigm: Impacts on Agri-Food Supply Chain Profitability and Sustainability. Sustainability, 15(21), 15627. https://doi.org/10.3390/su152115627

Fole, A. (2022). Peningkatan Kinerja Pada Industri Kerajinan Songko Recaa (Studi Kasus : UKM ISR Bone). https://dspace.uii.ac.id/handle/123456789/39404

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

Fu, S., Liu, J., Tian, J., Peng, J., & Wu, C. (2023). Impact of Digital Economy on Energy Supply Chain Efficiency: Evidence from Chinese Energy Enterprises. Energies, 16(1), 568. https://doi.org/10.3390/en16010568

Iffah, N., Lamatinulu, L., Rauf, N., Fole, A., & Erniyani, E. (2024). Redesain Kemasan Produk Bolu Cukke Dengan Menggunakan Metode QFD (Quality Function Deployment) pada Bolu Cukke Berkah Makassar. Journal of Industrial Engineering Innovation, 2(02), 49–55. https://doi.org/10.58227/jiei.v2i02.122

Juan, S.-J., Li, E. Y., & Hung, W.-H. (2022). An integrated model of supply chain resilience and its impact on supply chain performance under disruption. The International Journal of Logistics Management, 33(1), 339–364. https://doi.org/10.1108/IJLM-03-2021-0174

Khandelwal, C., Singhal, M., Gaurav, G., Dangayach, G. S., & Meena, M. L. (2021). Agriculture Supply Chain Management: A Review (2010–2020). Materials Today: Proceedings, 47, 3144–3153. https://doi.org/10.1016/j.matpr.2021.06.193

Khanfar, A. A. A., Iranmanesh, M., Ghobakhloo, M., Senali, M. G., & Fathi, M. (2021). Applications of Blockchain Technology in Sustainable Manufacturing and Supply Chain Management: A Systematic Review. Sustainability, 13(14), 7870. https://doi.org/10.3390/su13147870

Krishnan, R., Yen, P., Agarwal, R., Arshinder, K., & Bajada, C. (2021). Collaborative innovation and sustainability in the food supply chain- evidence from farmer producer organisations. Resources, Conservation and Recycling, 168, 105253. https://doi.org/10.1016/j.resconrec.2020.105253

Kusrini, E., Helia, V. N., Miranda, S., & Asshiddiqi, F. (2023a). SCOR Racetrack to Improve Supply Chain Performance. Mathematical Modelling of Engineering Problems, 10(3), 915–920. https://doi.org/10.18280/mmep.100322

Kusrini, E., Helia, V. N., Miranda, S., & Asshiddiqi, F. (2023b). SCOR Racetrack to Improve Supply Chain Performance. Mathematical Modelling of Engineering Problems, 10(3), 915–920. https://doi.org/10.18280/mmep.100322

Kusrini, E., Safitri, K. N., & Fole, A. (2020). Design Key Performance Indicator for Distribution Sustainable Supply Chain Management. 2020 International Conference on Decision Aid Sciences and Application, DASA 2020, 738–744. https://doi.org/10.1109/DASA51403.2020.9317289

Mail, A., Chairany, N., & Fole, A. (2019). Evaluation of Supply Chain Performance through Integration of Hierarchical Based Measurement System and Traffic Light System: A Case Study Approach to Iron Sheet Factory. In Int. J Sup. Chain. Mgt (Vol. 8, Issue 5). https://doi.org/10.59160/ijscm.v8i5.2584

Marques-Perez, I., Rodríguez-Mañay, L., & Guaita-Pradas, I. (2022). Management improvement of the supply chain of perishable agricultural products by combining the Scor model and AHP methodology. The ecuadorian flower industry as a case study. Revista de La Facultad de Ciencias Agrarias UNCuyo, 54(2), 73–82. https://doi.org/10.48162/rev.39.084

Nha Trang, N. T., Nguyen, T.-T., Pham, H. V., Anh Cao, T. T., Trinh Thi, T. H., & Shahreki, J. (2022). Impacts of Collaborative Partnership on the Performance of Cold Supply Chains of Agriculture and Foods: Literature Review. Sustainability, 14(11), 6462. https://doi.org/10.3390/su14116462

Perdana, T., Kusnandar, K., Perdana, H. H., & Hermiatin, F. R. (2023). Circular supply chain governance for sustainable fresh agricultural products: Minimizing food loss and utilizing agricultural waste. Sustainable Production and Consumption, 41, 391–403. https://doi.org/10.1016/j.spc.2023.09.001

Ronaghi, M. H. (2021). A blockchain maturity model in agricultural supply chain. Information Processing in Agriculture, 8(3), 398–408. https://doi.org/10.1016/j.inpa.2020.10.004

Subhaktiyasa, P. G. (2024). Menentukan Populasi dan Sampel: Pendekatan Metodologi Penelitian Kuantitatif dan Kualitatif. Jurnal Ilmiah Profesi Pendidikan, 9(4), 2721–2731. https://doi.org/10.29303/jipp.v9i4.2657

Syufrian, B. (2022). Peningkatan Kinerja Perusahaan Pertanian Organik Dengan Metode SCOR Racetrack (Studi Kasus : CV. Tani Organik Merapi). 1–102. https://dspace.uii.ac.id/handle/123456789/37948

Taşkıner, T., & Bilgen, B. (2021). Optimization Models for Harvest and Production Planning in Agri-Food Supply Chain: A Systematic Review. Logistics, 5(3), 52. https://doi.org/10.3390/logistics5030052

Wibowo Putro, P. A., Purwaningsih, E. K., Sensuse, D. I., Suryono, R. R., & Kautsarina. (2022). Model and implementation of rice supply chain management: A literature review. Procedia Computer Science, 197, 453–460. https://doi.org/10.1016/j.procs.2021.12.161

Yadav, V. S., Singh, A. R., Raut, R. D., Mangla, S. K., Luthra, S., & Kumar, A. (2022). Exploring the application of Industry 4.0 technologies in the agricultural food supply chain: A systematic literature review. Computers & Industrial Engineering, 169, 108304. https://doi.org/10.1016/j.cie.2022.108304

Yang, B., Subramanian, N., & Al Harthy, S. (2024). Are gender diversity issues a hidden problem in logistics and supply chain management? Building research themes through a systematic literature review. Journal of Purchasing and Supply Management, 30(5), 100937. https://doi.org/10.1016/j.pursup.2024.100937

Yang, Y., Pham, M. H., Yang, B., Sun, J. W., & Tran, P. N. T. (2022). Improving vegetable supply chain collaboration: a case study in Vietnam. Supply Chain Management: An International Journal, 27(1), 54–65. https://doi.org/10.1108/SCM-05-2020-0194

Yazdani, M., Gonzalez, E. D. R. S., & Chatterjee, P. (2021). A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context. Management Decision, 59(8), 1801–1826. https://doi.org/10.1108/MD-10-2018-1088

Zheng, Y., Xu, Y., & Qiu, Z. (2023). Blockchain Traceability Adoption in Agricultural Supply Chain Coordination: An Evolutionary Game Analysis. Agriculture, 13(1), 184. https://doi.org/10.3390/agriculture13010184

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Submitted

2025-03-24

Accepted

2025-05-05

Published

2025-07-02

How to Cite

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: 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

Issue

Vol. 9 No. 1 (2025): Agroindustrial Technology Journal [ATJ]

Section

Articles

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