Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)

Lean Six Sigma and TRIZ to Reduce Non-Value-Added Activities of the Transformer Production Process

Authors
Adritho Zaifar1, *, Moses Laksono Singgih1
1Sepuluh Nopember Institute of Technology, Surabaya, 60264, Indonesia
*Corresponding author.
Corresponding Author
Adritho Zaifar
Available Online 19 November 2023.
DOI
10.2991/978-94-6463-288-0_21How to use a DOI?
Keywords
Electronic Transformer Producer (ETP); Lean Six Sigma; Net Present Value (NPV); Quality; Root Cause Analysis; TRIZ
Abstract

Electronic Transformer Producer (ETP, a nickname) is electronic transformer manufacturing and distribution in Indonesia. The company has encountered challenges in meeting the escalating demands for both quantity and quality from its clientele. Concurrently, the company strives to curtail superfluous activities that do not contribute value within the production process. This study aims to pinpoint the key factors within the transformer production process to enhance the effectiveness and caliber of the electronic transformers yielded. In this research endeavor, Lean Six Sigma and Root Cause Analysis methodologies are employed to unearth inefficiencies within the production process that contribute to prolonged lead times and diminished quality benchmarks. Should contradictions arise as a consequence of implementing the Lean Six Sigma approach, the TRIZ methodology will be harnessed to bolster efforts toward process enhancement. Data to be utilized encompasses the entire production flow of electronic transformers, spanning from initiation to completion, alongside insights garnered from group discussions. The findings of this investigation underscore that by automating tasks lacking value-addition, ETP stands to reap substantial benefits. The investment funneled into these technological advancements proves lucrative, as evidenced by a positive net present value (NPV) of Rp. 43,181,818. Additionally, this automation endeavor will empower ETP to trim its workforce, culminating in a noteworthy 54% reduction in labor expenses, equivalent to a financial economy of Rp. 68,255,748.

Copyright
© 2023 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 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
19 November 2023
ISBN
10.2991/978-94-6463-288-0_21
ISSN
2589-4943
DOI
10.2991/978-94-6463-288-0_21How to use a DOI?
Copyright
© 2023 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  - Adritho Zaifar
AU  - Moses Laksono Singgih
PY  - 2023
DA  - 2023/11/19
TI  - Lean Six Sigma and TRIZ to Reduce Non-Value-Added Activities of the Transformer Production Process
BT  - Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
PB  - Atlantis Press
SP  - 235
EP  - 246
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-288-0_21
DO  - 10.2991/978-94-6463-288-0_21
ID  - Zaifar2023
ER  -