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Analisis Penyebab Cacat Produk Assy Menggunakan Root Cause Analysis dan 5 Whys pada PT. PQR Husniyah, Ulfah; Darajatun, Rizky Achmad; Herwanto, Dene; A'lala, Alvin Kurnia
Jurnal SENOPATI : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Vol 7, No 1 (2025): Jurnal SENOPATI Vol 7, No 1
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.senopati.2025.v7i1.7740

Abstract

Good (NG) pada komponen Side Member Assy yang menyebabkan gangguan proses assembly di pelanggan. Dengan menggunakan metode Root Cause Analysis (RCA) dan 5 Whys, penelitian ini menganalisis laporan klaim pelanggan terkait cacat produk. Hasil penelitian menunjukkan bahwa penyebab utama cacat produk adalah deviasi gap aktual sebesar 0,8 mm dibandingkan standar 0,6 mm, yang diakibatkan oleh ketidaksesuaian parameter mesin, kurangnya verifikasi akurasi pasca-improvement dies, serta ketidaklengkapan fungsi inspeksi dalam Q-Point. Rekomendasi tindakan meliputi revisi Q-Point, penyesuaian parameter mesin, pelatihan inspeksi pekerja, dan verifikasi akurasi. Implementasi tindakan ini diharapkan dapat meningkatkan kualitas produk, menurunkan tingkat cacat, dan meningkatkan kepuasan pelanggan
PENGENDALIAN PERSEDIAAN BAHAN BAKU PRODUK PIPA BAJA SPEC NON. API. KT 24 MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY (EOQ) A'lala, Alvin Kurnia; Momon, Ade; Husniyah, Ulfah
Jurnal Pendidikan Ekonomi (JURKAMI) Vol 10, No 2 (2025): JURKAMI
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpe.v10i2.4632

Abstract

Raw material inventory is a vital component in the production process, especially in manufacturing industries such as PT Bakrie Pipe Industries, which specializes in steel pipe production. The main issue faced by the company is the suboptimal control of raw material inventory for the Non API.KT 24 specification steel pipe product, resulting in cost inefficiencies and unstructured ordering. This study aims to determine the optimal order quantity and total inventory cost using the Economic Order Quantity (EOQ) method. A quantitative approach was used, based on data of annual demand, ordering cost, and holding cost obtained from the company. The results indicate that the optimal order quantity (EOQ) is 43,577,128 kilograms per year. Based on this quantity, the total inventory cost incurred by the company is Rp14,402,700,962 per year. These findings demonstrate that the EOQ method effectively assists the company in minimizing inventory costs and improving raw material management efficiency. This study recommends that the EOQ model be consistently implemented as part of the company’s inventory management strategy.