<![CDATA[Industri susu segar di Indonesia menghadapi tantangan besar dalam menjaga efisiensi rantai pasok, terutama pada aspek distribusi. Koperasi Peternak Sapi Bandung Utara (KPSBU) Lembang, sebagai salah satu koperasi susu terbesar di Jawa Barat dengan lebih dari 7.000 anggota aktif, mendistribusikan susu segar ke dua mitra industri pengolahan susu (PT Frisian Flag dan PT Diamond Cold Storage) serta unit retail sendiri. Ketidakefisienan sistem distribusi berdampak pada tingginya biaya operasional kendaraan, emisi karbon, dan risiko penurunan kualitas produk. Penelitian ini bertujuan menganalisis variabel yang paling berpengaruh terhadap biaya operasional kendaraan pengantaran susu, termasuk faktor Vehicle Carbon dan jumlah pengiriman permintaan produk, serta merancang skenario optimalisasi menggunakan pendekatan sistem dinamis. Metode penelitian menggabungkan data primer dari wawancara dengan pihak KPSBU dan data sekunder dari studi literatur, yang selanjutnya diolah menjadi Causal Loop Diagram (CLD) dan Stock Flow Diagram (SFD) menggunakan perangkat lunak AnyLogic. Hasil uji sensitivitas menunjukkan bahwa variabel pemerasan susu dan jumlah anggota aktif KPSBU bersifat sensitif terhadap Total Vehicle Carbon dan Total Biaya BBM, sedangkan variabel kualitas susu tidak sensitif. Skenario optimalisasi terbaik (skenario pertama/kedua) menghasilkan peningkatan jumlah pengiriman sebesar 25%, namun disertai kenaikan Vehicle Carbon dan biaya BBM sebesar 37%, sehingga diperlukan strategi mitigasi seperti optimalisasi rute dan efisiensi armada. Penelitian ini diharapkan dapat menjadi rujukan bagi KPSBU dalam merancang strategi distribusi yang lebih efisien dan berkelanjutan. Kata Kunci: rantai pasok susu; sistem dinamis; AnyLogic; Vehicle Carbon; optimalisasi distribusi Abstract The fresh milk industry in Indonesia faces significant challenges in maintaining supply chain efficiency, particularly in distribution. The North Bandung Dairy Farmers Cooperative (KPSBU) Lembang, one of the largest dairy cooperatives in West Java with more than 7,000 active members, distributes fresh milk to two milk-processing partners (PT Frisian Flag and PT Diamond Cold Storage) as well as its own retail unit. Inefficiencies in the distribution system result in high vehicle operational costs, carbon emissions, and the risk of declining product quality. This study aims to analyze the variables that most influence the operational costs of milk delivery vehicles, including the Vehicle Carbon factor and the volume of product delivery demand, and to design optimization scenarios using a system dynamics approach. The research method combines primary data from interviews with KPSBU and secondary data from literature studies, which are then developed into a Causal Loop Diagram (CLD) and a Stock Flow Diagram (SFD) using AnyLogic software. Sensitivity test results show that milking volume and the number of active KPSBU members are sensitive variables affecting Total Vehicle Carbon and Total Fuel Cost, while milk quality is not sensitive. The best optimization scenario increases delivery volume by 25%, but is accompanied by a 37% increase in Vehicle Carbon and fuel cost, indicating the need for mitigation strategies such as route optimization and fleet efficiency improvement. This study is expected to serve as a reference for KPSBU in designing a more efficient and sustainable distribution strategy. Keywords: milk supply chain; system dynamics; AnyLogic; Vehicle Carbon; distribution optimization]]>
