Strategi Optimalisasi Persediaan : Material Requirement Planning di Delyana Hijab

Authors

  • Tasya Alfia Salsa Nabila Universitas Wanita Internasional
  • Somadi Somadi Universitas Wanita Internasional

DOI:

https://doi.org/10.59024/jisi.v4i2.1596

Keywords:

Peramalan, Persediaan, Master Requirement planning, Wagnert Within Algorithm, Lot Sizing, Pengendalian Persediaan, efisiensi produksi

Abstract

Penelitian ini dilatarbelakangi oleh tingginya biaya penyimpanan dan meningkatnya stok mati pada Delyana Hijab, yang menunjukkan belum optimalnya pengelolaan persediaan bahan baku. Ketidaksesuaian antara jumlah bahan baku dan kebutuhan produksi menyebabkan pemborosan biaya serta menurunkan efisiensi operasional. Penelitian ini bertujuan untuk menentukan kebutuhan material yang optimal melalui pendekatan forecasting dan Material Requirement Planning (MRP). Metode yang digunakan adalah deskriptif kuantitatif dengan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Tahapan analisis meliputi peramalan permintaan, penyusunan Master Production Schedule (MPS), Bill of Materials (BOM), perhitungan kebutuhan bersih (MRP), serta penentuan ukuran pemesanan melalui metode lot sizing. Hasil penelitian menunjukkan bahwa metode regresi linier menghasilkan tingkat kesalahan peramalan terendah sehingga mampu memproyeksikan kebutuhan produksi dengan lebih akurat. Penerapan MRP menghasilkan perencanaan kebutuhan bahan baku yang lebih terarah dan sesuai dengan jadwal produksi. Pada tahap lot sizing, metode Lot For Lot (LFL) menjadi yang paling efisien dengan total biaya persediaan sebesar Rp108.669.000. Dalam penerapannya, jumlah pemesanan bahan baku mengikuti kebutuhan bersih tiap periode, misalnya kebutuhan kain katun berkisar 5-7 roll per minggu dan dipesan dalam jumlah yang sama tanpa kelebihan stok. Pola ini mampu menekan penumpukan persediaan dan mengurangi risiko stok mati karena bahan baku langsung digunakan sesuai kebutuhan. Dengan demikian, tujuan penelitian untuk menentukan kebutuhan material yang optimal telah terjawab melalui penerapan metode Lot For Lot yang mampu menghasilkan kuantitas pemesanan yang tepat dan efisien.

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Published

2026-04-28