Proceedings of the Sixth International Conference on Applied Economics and Social Science (ICAESS 2024)

Enhancing Quality Control in Electronic Component Assembly: Integrating Fault Tree Analysis and Failure Mode and Effect Analysis for the B31 Series

Authors
Alrido M. Devano1, *, Dania Sari1, Silmi Aprilia Andari2
1Batam State Polytechnic, Ahmad Yani Street, Batam, 29461, Indonesia
2Schneider Electric, Batamindo Industrial Park, Batam, 29433, Indonesia
*Corresponding author. Email: alridomd@polibatam.ac.id
Corresponding Author
Alrido M. Devano
Available Online 31 December 2024.
DOI
10.2991/978-94-6463-640-6_20How to use a DOI?
Keywords
Defects; Quality; Fault Tree Analysis; Failure Mode and Effect Analysis; Component Assembly
Abstract

PT EX Batam is a manufacturing enterprise situated in Batam, Riau Islands, Indonesia. It specializes in the production of electronic components, including the Series B31. The quality control implementation conducted is inadequate as there are still numerous defective goods identified during the production process. The Series B31 production, in particular, needs further analysis as it has reached the defect tolerance limit. The objective of this study is to categorize the prevalent production defects, ascertain the underlying reasons of defective goods during the manufacturing process, and propose suitable recommendations for improvement. The research suggests utilizing Fault Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA) as quality control methodologies. This study commences by gathering defect data from the company, which is subsequently analyzed to find the underlying causes of defects. Fault tree mapping is employed to uncover failure modes, enabling the determination of the highest Risk Priority Number value. This number is then used to establish the priority of defects that require immediate repair. The analysis of the sources of defects in this study reveals that they are mostly attributed to human, machine, and material factors. Consequently, it is necessary to propose improvements in employee training, enhance machine facilities, and optimize material handling. The recommended enhancements in this study are anticipated to assist enterprises in decreasing the occurrence of defect goods in alignment with company standards by a maximum of 1%, thereby contributing to the advancement of research in the manufacturing industry.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Sixth International Conference on Applied Economics and Social Science (ICAESS 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2024
ISBN
978-94-6463-640-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-640-6_20How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Alrido M. Devano
AU  - Dania Sari
AU  - Silmi Aprilia Andari
PY  - 2024
DA  - 2024/12/31
TI  - Enhancing Quality Control in Electronic Component Assembly: Integrating Fault Tree Analysis and Failure Mode and Effect Analysis for the B31 Series
BT  - Proceedings of the  Sixth International Conference on Applied Economics and Social Science (ICAESS 2024)
PB  - Atlantis Press
SP  - 269
EP  - 286
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-640-6_20
DO  - 10.2991/978-94-6463-640-6_20
ID  - Devano2024
ER  -