Analisis Kinerja Rantai Pasok Produk Kubis Menggunakan SCOR dan BSC di Pusat Distribusi Gudang Fresh Food

Authors

  • Adevia Candra Universitas Udayana
  • I Made Supartha Utama
  • I Wayan Tika

Keywords:

supply chain performance, SCOR model, Balanced Scorecard, Analytic Hierarchy Process (AHP), cabbage distribution

Abstract

Abstrak

Distribusi produk hortikultura seperti kubis menghadapi tantangan besar akibat sifatnya yang mudah rusak dan memiliki umur simpan pendek. Dalam praktik distribusi ritel modern, ketidakefisienan dalam proses logistik, fluktuasi pasokan dari petani, dan lemahnya sistem rantai dingin (cold chain) kerap menyebabkan penurunan mutu dan meningkatnya food loss. Penelitian ini bertujuan untuk mengevaluasi kinerja rantai pasok distribusi kubis di Pusat Distribusi Gudang Fresh Food dengan pendekatan terintegrasi Supply Chain Operations Reference (SCOR), Balanced Scorecard (BSC), dan Analytic Hierarchy Process (AHP). Model SCOR digunakan untuk mengidentifikasi indikator operasional utama, yaitu: Keandalan Pengiriman (Delivery Reliability), Waktu Respon (Responsiveness Lead Time), Siklus Pesanan (Order Cycle Time), Perputaran Persediaan (Inventory Turnover), dan Biaya Distribusi (Distribution Cost). Selanjutnya, kerangka BSC mengelompokkan indikator tersebut ke dalam perspektif strategis: keuangan, pelanggan, proses bisnis internal, serta pembelajaran dan pertumbuhan. Prioritas antar indikator dianalisis menggunakan metode AHP melalui penilaian berpasangan oleh para pakar. Hasil pada Pusat Distribusi Gudang Fresh Food menunjukkan bahwa keandalan pengiriman (0,470) dan waktu respon (0,262) merupakan indikator paling krusial, yang menunjukkan pentingnya kecepatan dan kepastian layanan dalam meminimalkan kerusakan dan meningkatkan kepuasan pelanggan. Nilai rasio konsistensi (CR) sebesar 0,024 membuktikan keandalan hasil penilaian AHP. Kerangka integratif SCOR–BSC–AHP ini memberikan sistem evaluasi kinerja yang menyeluruh dan terstruktur, menjembatani data operasional dengan wawasan strategis.

References

Amorim, P., Günther, H. O., Almada-Lobo, B., & Oliveira, J. F. (2013). Designing and managing perishables supply chains: alignment of planning and scheduling decisions. International Journal of Production Economics, 138(1), 43–53. https://doi.org/10.1016/j.ijpe.2012.12.004

APICS. (2017). SCOR - Supply Chain Operations Reference Model. Version 12.0.

Bartezzaghi, E., Cagliano, R., & Zorzini, M. (2022). Managing perishable food supply chains: Identifying sources and strategies to mitigate food waste. Journal of Operations Management, 68(2), 35–49. https://doi.org/10.1016/j.jom.2022.101028

Bhagwat, R., & Sharma, M. K. (2007). Performance measurement of supply chain management: A balanced scorecard approach. Computers & Industrial Engineering, 53(1), 43–62. https://doi.org/10.1016/j.cie.2007.04.001

Kaplan, R. S., & Norton, D. P. (1996). The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press.

Lambert, D. M. (2008). Supply Chain Management: Processes, Partnerships, Performance. Supply Chain Management Institute.

Moazzam, A., Akhtar, P., & Garnevska, E. (2018). Analyzing fresh food supply chain performance using SCOR model: A case study of New Zealand. International Journal of

Logistics Research and Applications, 21(3), 243–261. https://doi.org/10.1080/13675567.2017.1395832

Osman, M. R., Al‐Ani, A., & Alibeyg, A. (2023). Challenges and strategies in cold chain management of perishable goods: A systematic literature review. Sustainable Production and Consumption, 37, 89–103. https://doi.org/10.1016/j.spc.2023.01.004

Poluha, R. G. (2007). Application of the SCOR Model in Supply Chain Management. Springer. https://doi.org/10.1007/978-3-7908-2081-5

Rodríguez Mañay, N., Da Silva, G. D., & Barbieri, J. C. (2022). Multi-criteria decision-making using AHP and performance measurement: Application to Brazilian agribusiness. Journal of Cleaner Production, 355, 131798. https://doi.org/10.1016/j.jclepro.2022.131798

Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.

Saaty, T. L. (2000). Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. RWS Publications.

Sharma, M. K., & Bhagwat, R. (2007). Performance measurement of supply chain management: A balanced scorecard approach. Computers & Industrial Engineering, 53(1), 43–62.

Thakkar, J., Kanda, A., & Deshmukh, S. G. (2009). Supply chain performance measurement framework for small and medium scale enterprises. Benchmarking: An International Journal, 16(5), 702–723. https://doi.org/10.1108/14635770910987874

Tigga, R. A., Saha, A., & Barman, A. (2023). Cold chain logistics and fresh food distribution: Critical success factors in emerging markets. Food Control, 150, 109682. https://doi.org/10.1016/j.foodcont.2023.109682

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Published

2025-11-24 — Updated on 2025-11-24

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How to Cite

Candra, A., Utama, I. M. S., & Tika, I. W. (2025). Analisis Kinerja Rantai Pasok Produk Kubis Menggunakan SCOR dan BSC di Pusat Distribusi Gudang Fresh Food. Jurnal BETA (Biosistem Dan Teknik Pertanian), 14(1). Retrieved from https://ejournal3.unud.ac.id/index.php/beta/article/view/1162

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Vol. 14 No. 1 (2026): Inpress

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