Usulan Perbaikan Tata Letak Produk di Gudang Finished Good untuk Optimalisasi Ruang di PT Foodex Inti Ingredients

Abstract

PT Foodex Inti Ingredients adalah produsen bumbu dan bahan makanan untuk berbagai industri pangan. Perusahaan menghadapi kendala tata letak penyimpanan di gudang barang jadi karena penempatan produk berdasarkan ruang kosong tanpa pola aliran, menyebabkan inefisiensi tracing, pengambilan, dan loading serta risiko kehilangan produk yang mengakibatkan peningkatan waktu persiapan, beban kerja, biaya operasional, dan kerugian. Penelitian ini bertujuan untuk mengidentifikasi kendala tata letak gudang FG, menganalisis strategi perancangan tata letak dengan menggunakan metode class-based storage berbasis FSN Analysis, serta menyusun usulan perbaikan tata letak penyimpanan. Metode FSN digunakan dalam klasifika si produk ke dalam kategori fast moving, slow moving, dan very slow moving berdasarkan nilai perhitungan Average Stay dan Consumption Rate menggunakan data persediaan produk. Penelitian dilaksanakan September–November 2025 dengan data primer dari wawancara, observasi, dan diskusi operasional serta data sekunder dari studi pustaka dan dokumen perusahaan. Klasifikasi laju pergerakan diharapkan meningkatkan efisiensi penyimpanan, mengurangi waktu pencarian dan loading, menurunkan kesalahan pengambilan atau pengiriman, serta meningkatkan utilisasi ruang.

PT Foodex Inti Ingredients is a manufacturer of spices and food ingredients for various food industries. The company faces challenges in finished goods (FG) warehouse layout because product placement is based on available empty space without a structured flow, causing inefficiencies in tracing, picking, and loading as well as risks of product loss that increase preparation time, burden rate, operating costs, and losses. This study aims to identify layout constraints in the FG warehouse, analyse layout design strategies using class-based storage based on FSN Analysis, and develop recommendations to improve storage layout. The FSN method is used to classify products into fast moving, slow moving, and very slow-moving categories based on calculated Average Stay and Consumption Rate using product inventory data. The study was conducted from September to November 2025 with primary data from interviews, observations, and operational discussions and secondary data from literature and company documents. Movement-rate classification is expected to improve storage efficiency, reduce search and loading time, decrease picking or delivery errors, and increase space utilization.