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Perancangan Ulang Tata Letak Fasilitas Gudang dengan Menggunakan Metode Systematic Layout Planning (SLP) di PT XYZ Sulistiyono, Wahyu Adji; SZS, Joumil Aidil
Ekonomis: Journal of Economics and Business Vol 9, No 2 (2025): September
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/ekonomis.v9i2.1972

Abstract

The purpose of this study is to redesign the layout of warehouse facilities using the systematic layout planning (SLP) method at PT XYZ. The method used in this study is the systematic layout planning (SLP) method, which is a method that has new layout results with minimum distance and OMH (material handling costs) results. The results of the study found that the initial layout distance of the storage rack to the pharmacist's room was 624,625m and in the proposed layout it became 416,139m, then also in the initial layout the total moment of storage rack movement to the pharmacist's room was 5833,306m/day and in the proposed layout it became 3439,759m/day. In the initial layout the total material handling cost (OMH) of the storage rack to the pharmacist's room was Rp. 39,793,333.3 and in the proposed layout it became Rp. 2,750,154.7.
Implementasi House of Risk (HOR) dan Root Cause Analysis dalam Strategi Mitigasi Risiko Kegagalan Mesin Produksi pada PT Industri Kereta Api Persada, Ikhlas Damai; SZS, Joumil Aidil
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 2 (2025): Volume 10 Nomor 2, Mei 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i2.1907

Abstract

PT Industri Kereta Api or commonly called PT INKA is a company engaged in the field of railway production. One of the machines that often experiences damage is the Gap Shear / Hydraulic Shear machine, with a total of 41 repairs during the period June 2023 to February 2024. From this problem it is necessary to carry out an analysis using the House of Risk (HOR) method and Root Cause analysis to determine optimal risk mitigation strategies so as to minimize the occurrence of machine damage. The results of the research recommend that companies can monitor and analyze the service life of machine components based on the intensity of machine use, implement a production scheduling system and apply predictive analysis of safe production quantities for machine reliability, implement regular training programs for operators regarding instructions and standards for machine use and create a clear and easy to understand machine usage manual, provide clear documentation regarding the materials used and their characteristics, and implement preventive maintenance based on vibration monitoring data.
HDPE Bag Production Waste Fell After Integrated Lean Analysis Gairwyn, Shannon Viona; SZS, Joumil Aidil
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13994

Abstract

General Background: Production efficiency is essential for manufacturing competitiveness, yet many systems remain dominated by non value added activities and seven waste categories. Specific Background: In HDPE plastic bag production, a defect rate of 7.02% exceeds the 3% standard and is accompanied by waiting, motion, and process inefficiencies. Knowledge Gap: Limited studies integrate Lean Manufacturing with Failure Mode and Effect Analysis in HDPE bag production contexts. Aims: This study aims to identify dominant waste and formulate improvement strategies using an integrated Lean approach. Results: Seven waste types were identified, with defects (RPN 441) and waiting (RPN 336) as priorities; improvements reduced activities from 39 to 31, decreased lead time from 214.94 to 151.14 minutes, and increased process cycle efficiency from 45.42% to 64.59%. Novelty: This study integrates Value Stream Mapping, Process Activity Mapping, fishbone diagram, and FMEA within a single framework tailored to HDPE bag production. Implications: The findings demonstrate that systematic waste identification and elimination of non value added activities improve production flow, quality, and operational efficiency while supporting structured maintenance and pull-based systems. Highlights: Defect and waiting categories ranked as highest priority based on risk evaluation. Process restructuring reduced total operational steps and shortened processing duration. Integrated mapping and risk assessment enabled systematic identification of root causes. Keywords: Lean Manufacturing, FMEA, HDPE Plastic Bags, Waste, Production Process.