Issue |
E3S Web Conf.
Volume 604, 2025
The 4th International Conference on Disaster Management (The 4th ICDM 2024)
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|
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Article Number | 15002 | |
Number of page(s) | 7 | |
Section | Retrofit, Rehabilitation and Reconstruction | |
DOI | https://doi.org/10.1051/e3sconf/202560415002 | |
Published online | 16 January 2025 |
Identification of post-disaster housing reconstruction using a lean reconstruction approach (case study: Pasaman earthquake in 2022)
1 Department of Civil Engineering, Faculty of Engineering, Universitas Andalas, Padang, Indonesia
2 Department of Civil Engineering, Adzkia University, Padang, Indonesia
* Corresponding author: ophiyandri@eng.unand.ac.id
Housing reconstruction for affected communities is a priority need following a disaster. Mechanisms and strategic steps for implementation are needed to ensure that the handling is quicker and more targeted. This aligns with the lean principle of “Let the customer pull—do not make anything until it is needed, then make it quickly,” and pursue perfection through continuous improvement. This research aims to identify the stages and mechanisms of housing reconstruction implementation in West Pasaman following the earthquake disaster in 2022 through a lean reconstruction approach. This research is part of a study on developing a lean reconstruction model for post-disaster housing reconstruction in Indonesia. The method used in this research is qualitative with a case study approach. The study results indicate that implementing post-disaster housing reconstruction in Pasaman has not met the lean principle, with several stages being repeated so that it can be classified as a wasteful process. The main problem that causes the repetition of the process is the problem of data collection. In addition, the distribution pattern of post-disaster housing reconstruction assistance has several weaknesses at various stages, so the final value of recipient satisfaction cannot be fully achieved.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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