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Analysis of Process Quality in the Weaving Section Using Failure Mode and Effect Analysis and Fault Tree Analysis: A Case Study of PT XYZ Atikasari, Dilla Fajar; Yun, Yun
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.v9i2.2370

Abstract

This study aims to determine the main causes of warp-jump defects in gray fabric production at PT XYZ using Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). This analysis identified two main causes: decreased machine performance and operator fatigue. The FMEA results indicate that these factors contribute significantly to product defects, with machine performance having the highest Risk Priority Number (RPN). This study suggests that routine machine maintenance and improved workforce management through closer training and supervision are crucial to reducing defects and increasing operational efficiency.
Analisis Manajemen Gudang di PT XYZ Cabang Bandung-Leuwigajah Febriani, Devita Aviva; Yun, Yun
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.v9i2.2340

Abstract

This study aims to analyze the implementation of WMS at PT XYZ Branch Bandung-Leuwigajah, a large distribution company in Indonesia, focusing on issues such as discrepancies between system data and physical stock, difficulties in recording product returns, and wasted time in manual stocktaking processes. The research employs a qualitative approach, using Root Cause Analysis (RCA) and semi-structured interviews with relevant personnel at the company. The results indicate that the implementation of WMS can reduce errors in stock management and improve operational efficiency, particularly in stocktaking and product return management. Furthermore, the study also identifies challenges in integrating the system with diverse product characteristics and the need for further training to maximize the use of WMS.