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OPTIMALISASI PENYIMPANAN GUDANG BARANG JADI (GBJ) DENGAN PEMETAAN SCOR DAN PENGUKURAN RISIKO MENGGUNAKAN METODE HOUSE OF RISK (HOR) DI PT.XYZ Rauhul Rahman Adam; RR Rochmoeljati
Tekmapro Vol. 19 No. 2 (2024): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v19i2.417

Abstract

PT. XYZ, sebuah perusahaan manufaktur keramik terkemuka, berusaha untuk mengoptimalkan praktik manajemen gudangnya untuk memastikan efisiensi operasional dan kepuasan pelanggan. Penelitian ini bertujuan untuk menilai efektivitas kinerja dan mengurangi risiko yang terkait dengan manajemen gudang dengan menerapkan Sistem Manajemen Gudang (WMS) dan teknologi barcode. Survei kuesioner yang melibatkan 18 karyawan dari Gudang Barang Jadi dilakukan untuk mengevaluasi tingkat keparahan, kejadian, dan korelasi risiko dalam lingkungan gudang. Tes validitas dan reliabilitas data selanjutnya dilakukan untuk memastikan keakuratan respons. Dengan menggunakan kerangka House of Risk 1, didapat hambatan risiko dengan ARPj tertinggi adalah perencanaan penyimpanan salah sebesar 1085, jumlah stock tidak terdata jelas sebesar 984, dan stock produk terjadi kehilangan sebesar 822. Strategi mitigasi yang diambil dari House of Risk 2 adalah strategi mitigasi dengan nilai ETD tertinggi, yaitu penerapan sistem WMS (SM3) dengan nilai ETD 3902 dan penerapan sistem barcode (SM4) dengan ETD 2915. Strategi yang diidentifikasi bertujuan untuk meningkatkan efisiensi operasional dan meminimalkan risiko, memberikan wawasan berharga untuk meningkatkan praktik manajemen gudang di PT. XYZ
Analisis beban kerja pada pekerja Assembly Lavatory di PT INKA Multi Solusi dengan metode Workload Analysis (WLA) Primadhiya, Fairuzzayyan; Rochmoeljati, Rr
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.39704

Abstract

Lavatories are among the top items produced by INKA Multi Solusi, a manufacturing company that makes railway components. So the workload of workers needs to be considered, especially the assembly section because it rarely uses machine assistance with quite high demand. The time study approach was used to establish working hours, and workload analysis was used to determine the ideal workforce size. Three overload activities and two underload activities are identified based on the workload calculation. Meanwhile, the workload analysis results must be applied throughout the company to apply the ideal amount of workers., namely 2 people for installing partitions, 1 person for installing maulding, 2 people for piping, 2 people for installing closet sets, and 2 people for installing doors. Additionally, INKA Multi Solusi has established the right total number of employees based on the research.
ANALYSIS OF PRODUCT QUALITY BOGIE SET S2HD9C USING SIX SIGMA AND FMEA METHOD AT PT. BARATA INDONESIA (PERSERO) Ramadhani, Muthia Dita; Rochmoeljati, Rr.
Journal of Industrial Engineering Management Vol 9, No 1 (2024): Journal of Industrial Engineering and Management Vol 9 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i1.1710

Abstract

Product quality is critical for businesses to survive and thrive in the marketplace. Likewise with PT. Barata Indonesia (Persero), which always wants to provide good product quality for customer satisfaction, PT. Barata Indonesia (Persero) is a State-Owned Enterprise (BUMN) in the manufacturing sector, which has a business line in the foundry or foundry sector, one of which is the production of train components. The company's difficulty is that there are still problems in producing the S2HDC bogie set, such as break mold, porosity, slag, and crack. This study aimed to analyze the quality of the Bogie Set S2HD9C product using the six sigma method and propose improvements using Failure Mode and Effect Analysis (FMEA). The research results found that the percentage of defects that occurred during August 2022 - January 2023 was porosity of 40.38%, break mold of 30.77%, crack of 17.31%, and slag of 11.54%. To obtain an average DPMO of 14191 with a sigma value of 3.69. The causes of these defects are caused by human, material, machine, method, and environmental factors. From the FMEA analysis, the defect's cause is the highest RPN value of 392, with the proposed improvement to closely monitor the cleaning process and recheck the core box in every process that will use the mold.
Improving Shoe Product Quality Through the New Seven Tools Approach and Failure Mode Effect Analysis (FMEA): Perbaikan Kualitas Pada Produk Sepatu Melalui Pendekatan New Seven Tools Dan Failure Mode Effect Analysis (FMEA) Subono, Muhammad Wibbie Wiweka; Rochmoeljati, Rr.
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1843

Abstract

General Background: Quality control is essential for ensuring competitiveness in manufacturing industries, particularly in footwear production. Specific Background: UD. XYZ experiences a defect rate of 12.85%, exceeding the company standard of 5%, indicating systemic issues in its production process. Knowledge Gap: Previous studies have utilized New Seven Tools and FMEA, yet have not sufficiently integrated both methods to produce comprehensive improvement recommendations tailored to the root causes of shoe defects. Aim: This study aims to identify defect-causing factors and propose corrective actions using combined New Seven Tools and Failure Mode and Effect Analysis (FMEA). Results: Analysis revealed 27 proposed improvements through the PDPC, with 25 deemed feasible, while FMEA identified untidy sewing as the most critical failure mode, with the highest RPN value of 336. Novelty: This study offers an integrated diagnostic–corrective framework that systematically links qualitative mapping tools with quantitative risk prioritization to strengthen quality improvement strategies. Implications: Findings provide actionable guidance for enhancing worker performance, machine calibration, material handling, and production methods, supporting sustained quality enhancement in the footwear industry. Highlights: Identifies key defect sources in shoe production using integrated qualitative and quantitative methods. Highlights untidy sewing as the most critical issue based on the highest RPN value (336). Provides feasible improvement actions, with 25 of 27 recommendations implementable for quality enhancement. Keywords: Quality Control, New Seven Tools, FMEA, Shoe Manufacturing, Defect Reduction