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Failure Analysis of the Stamping Process to Reduce Defective Products Using Failure Mode and Effects Analysis (FMEA)
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Date
Authors
Wambrauw, Samuel Eko
Journal Title
Journal ISSN
Volume Title
Publisher
Politeknik Negeri Batam
Abstract
Digital technology today,particularly information
technology plays a crucial role in improving efficiency and
productivity in the manufacturing sector, where the
sustainability and effectiveness of production processes are
largely determined by the reliability of machinery, especially in
precision metal casting. PT XYZ Company, which produces
semi-finished components made of iron/steel and aluminum for
electronic devices, continues to face challenges in the form of high
rates of product rejection and tool damage, caused by various
factors such as clogged oil filters, excessive oil flow, and failures
of the missfeed sensor to detect material. These issues are not
merely technical problems but are also influenced by factors
related to people, materials, machinery, and methods such as a
lack of operator training, the use of used or contaminated oil,
manual control systems, and the absence of routine monitoring
all of which ultimately lead to reduced productivity, increased
maintenance costs, and delivery delays. Furthermore, the absence
of an early detection system and structured analysis makes it
difficult to comprehensively identify the root causes of problems;
therefore, the Failure Mode and Effects Analysis (FMEA)
method serves as a relevant approach to proactively identify
potential failures, analyze their impacts, and prioritize corrective
actions based on the Risk Priority Number (RPN). This study
aims to improve machine reliability through the application of
FMEA and the development of structured corrective actions to
support a more effective preventive maintenance strategy. Through this data-driven and risk-priority-based approach, it is
expected that the company can minimize downtime, reduce tool
rejection and damage rates, and strengthen a culture of
continuous improvement as the foundation for future strategic
decision making.
Description
Citation
IEEE
