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pengendalian kualitas untuk mengurangi pemborosan pada produksi outsole menggunakan metode six sigma dan failure mode and effect analysis (fmea) fitrian, damayanti; Noor Nailie Azzat; Dwi Retna Sulistyawati
INDUSTRIKRISNA Vol 15 No 1 (2026): INDUSTRIKRISNA
Publisher : Universitas Krisnadwipayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini membahas pengendalian kualitas untuk mengurangi pemborosan pada produksi outsole di PT Hwaseung Indonesia. Masalah utama yang dihadapi adalah masih tingginya tingkat kecacatan produk berupa poor trimming, over cement, dirty, dan yellowing yang berdampak pada efisiensi produksi dan kualitas produk. Metode yang digunakan adalah Six Sigma dengan pendekatan DMAIC (Define, Measure, Analyze, Improve, Control) serta analisis risiko menggunakan Failure Mode and Effect Analysis (FMEA). Hasil penelitian menunjukkan bahwa nilai level sigma untuk jenis cacat poor trimming sebesar 6,83, yellowing sebesar 6,86, over cement sebesar 6,85, dan dirty sebesar 6,88, yang seluruhnya termasuk kategori green belt. Melalui analisis FMEA, penyebab dominan dari kecacatan antara lain operator kurang terampil, penggunaan alat yang tumpul, aplikasi lem yang tidak terkontrol, lingkungan kerja yang kotor, serta paparan sinar UV. Usulan perbaikan yang direkomendasikan meliputi pelatihan operator, pengasahan alat secara terjadwal, penggunaan alat takaran lem otomatis, penerapan 5S di lingkungan kerja, serta penggunaan bahan baku tahan UV. Penelitian ini membuktikan bahwa penerapan Six Sigma yang dipadukan dengan FMEA efektif dalam mengidentifikasi akar masalah, mengurangi pemborosan, serta meningkatkan kualitas produk outsole sehingga mampu mendukung daya saing perusahaan. Kata Kunci: Six Sigma, FMEA, Outsole, Kualitas, Pemborosan
Penerapan Metode Earliest Due Date Pada Penjadwalan Produksi Sampel Produk Cushion Di PT XYZ Musa, Rikan Sholikul; Azzat, Noor Nailie; Muhammad, Gunawa; Sulistyawati, Dwi Retna; Lofian, Boedi
Metode : Jurnal Teknik Industri Vol. 12 No. 1 (2026): Jurnal Metode
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/mt.v12i1.5289

Abstract

PT XYZ faces delays in completing sample production of cushion products due to high sample demand and the absence of a systematic production scheduling method. This condition results in suboptimal job prioritization and delays in sample completion. Initial observations indicate that sample production delays reached up to 6 days. This study aims to implement the Earliest Due Date (EDD) method in sample production scheduling to minimize delays and improve production efficiency. The EDD method is used to determine job priority sequences based on due dates by utilizing processing time data from each production department. The implementation of the EDD method is integrated into a scheduling system based on Visual Basic for Applications (VBA) to facilitate data processing and production schedule control. The results show that the application of the EDD method is able to reduce sample completion delays from 6 days to a maximum of 4 days and decrease the level of sample production delays by 33.3%. Therefore, the EDD method is proven to be effective in improving the efficiency and accuracy of cushion sample production scheduling.
Pemilihan supplier kayu kayu pada cv integritas mulia bersama untuk menentukan prioritas supplier kayu bagi perusahaan dengan menggunakan metode analytic network process(ANP) Saktyo Arzaqi, Dodi; Febri Nugroho Mujiraharjo; Noor Nailie Azzat
INDUSTRIKRISNA Vol 15 No 1 (2026): INDUSTRIKRISNA
Publisher : Universitas Krisnadwipayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61488/industrikrisna.v15i1.811

Abstract

This research is motivated by the problem faced by CVIntegritas Mulia Bersama, which failed to achieveproduction targets due to late deliveries from severalsuppliers. The company wanted to determine whichcriteria were prioritized in supplier selection.Decision-making is crucial for any company, asdetermining priorities is crucial for improving thequality and product quality of a company. Oneexample is improving wood quality, price, supplierservice, and chair delivery. The Analytic NetworkProcess (ANP) method is a crucial factor in decision-making, enabling the company to systematicallyidentify dependencies and provide feedback. Datacollection in this study involved interviews andquestionnaires directed at the production manager,production head, and production supervisor. The ANPcalculation in this study used Super Decisions dataprocessing software, which uses the ANP method. Thesupplier priority ranking was determined by CompanyB with a weight of 0.60082, Company C with a weightof 0.45246, and Company A with a weight of 0.41737.From these results, it can be concluded that thepriority order for selecting the best supplier based onwood quality, price, supplier service, and chairdelivery is Company B, as it has the most ideal value.