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

Lean Manufacturing to Reduce Production Time for Pressure Vessel Production

Authors
Bintang Timur Lazuardi1, *, Moses Laksono Singgih2
1Interdisciplinary School of Management and Technology, Institut Teknologi Sepuluh Nopember Surabaya, Surabaya, Indonesia
2Interdisciplinary School of Management and Technology, Institut Teknologi Sepuluh Nopember Surabaya, Surabaya, Indonesia
*Corresponding author. Email: Bintanglazuardi.me@gmail.com
Corresponding Author
Bintang Timur Lazuardi
Available Online 19 November 2023.
DOI
10.2991/978-94-6463-288-0_5How to use a DOI?
Keywords
heavy industries; production lead times; non-value-added activities; pressure vessel production; waste analysis
Abstract

In a fiercely competitive business landscape, every company must optimize its resources and minimize wastage in the production process. At the Pressure Vessel Company (PVC), a study revealed various areas of waste, including non-compliant raw materials, delayed engineering documents, extended production times on each working floor, and lengthy material approval processes. The main objective of this research was to identify and analyze waste in the production process, as well as propose a reduction in manufacturing time. The researchers utilized eight waste tools, value stream mapping, to map the production process. The current state of the production process was documented, and eight specific wastes were identified, with the three most significant being waiting, extra processing, and motion. The analysis of the production process revealed an efficiency of only 19.13%, calculated by comparing 4655 hours of non-value-added activity to 890.6 hours of value-added activity. To improve this, changes were made to various production processes using future state map projections and proposed actions to reduce waste. As a result, non-value-added activities were reduced to 2515 hours, leading to a notable increase in production process efficiency to 35.41%. Based on the findings, several recommendations were made to enhance PVC’s operations. These include establishing a centralized office space, improving document distribution systems, building a robust IT infrastructure, and investing in ERP/SAP systems and new machinery.

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
978-94-6463-288-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-288-0_5How 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  - Bintang Timur Lazuardi
AU  - Moses Laksono Singgih
PY  - 2023
DA  - 2023/11/19
TI  - Lean Manufacturing to Reduce Production Time for Pressure Vessel Production
BT  - Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)
PB  - Atlantis Press
SP  - 39
EP  - 51
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-288-0_5
DO  - 10.2991/978-94-6463-288-0_5
ID  - Lazuardi2023
ER  -