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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.
THE IMPACT OF SUPPLY CHAIN INTEGRATION DIGITALIZATION AND CIRCULAR PRODUCTION ON OPERATIONAL EFFICIENCY THROUGH GREEN INNOVATION IN INDONESIA’S OIL, GAS, AND ENERGY SECTOR (SECONDARY DATA FROM ANNUAL REPORTS AND SUSTAINABILITY REPORTS, 2020-2024) Elhasymi, Attariq Widy; Yun, Yun
SOSIOEDUKASI Vol 15 No 1 (2026): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v15i1.7477

Abstract

The oil and gas sector is the backbone of national energy, yet it faces challenges in maintaining operational efficiency amidst the pressure of transitioning toward Net Zero Emission (NZE) 2060. This study analyzes the impact of Digital Supply Chain Integration (DSCI) and Circular Production (CP) on Operational Efficiency (OE) with Green Innovation (GI) as a mediating variable. The research focuses on Indonesian oil, gas, and energy companies from 2020 to 2024. The method is quantitative, using path analysis on secondary data from Annual Reports and Sustainability Reports. Results show that Digital Supply Chain Integration has no significant effect on Green Innovation or Operational Efficiency, indicating digital investments are not yet optimized for ecological and cost-efficiency goals. Conversely, Circular Production has a significant negative effect on Operational Efficiency, showing circular practices reduce operational costs through primary input savings. Further, Operational Efficiency has a significant positive effect on Green Innovation. The mediation test confirms that Green Innovation mediates the relationship between Circular Production and Operational Efficiency via eco-design-based innovation. These findings highlight efficiency as an essential foundation for energy companies to achieve sustainable green innovation.