Issue |
E3S Web Conf.
Volume 605, 2025
The 9th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2024)
|
|
---|---|---|
Article Number | 03019 | |
Number of page(s) | 9 | |
Section | Environment | |
DOI | https://doi.org/10.1051/e3sconf/202560503019 | |
Published online | 17 January 2025 |
Implementation of Lean Construction and Risk Management for Waste Identification in the Jragung Dam Construction Project Package 2
Civil Engineering Department, Faculty of Engineering, Universitas Diponegoro, Semarang. Indonesia 50275
* Corresponding author: ianhanif8@gmail.com
PT Wijaya Karya (Persero) Tbk, a leading state-owned construction enterprise, faces significant waste management challenges that have caused financial losses in previous projects. This study applies lean construction and risk management to identify waste and risks in the Jragung Dam Construction Project Package 2. Waste identification began with brainstorming sessions with the project management team, followed by a borda questionnaire to prioritize waste using the pareto principle. 5-whys discussions were then used to determine the risks causing critical waste. These risks were categorized using the Risk Breakdown Structure (RBS) and analysed through Failure Mode and Effect Analysis (FMEA), with risks plotted on a cartesian diagram based on Risk Priority Number (RPN) and Risk Severity Value (RSV). The four critical waste types identified were defects (20.05%), waiting (19.80%), over-processing (17.79%), and overproduction (14.04%). The highest-priority risks were unfinished diversion channels (RPN 108, RSV 36), geological issues found (RPN 105, RSV 35), and design revision (RPN 96, RSV 32). The benefit of this research is a systematic approach for identifying waste through lean construction and risk management principles, facilitating targeted waste identification. This process is expected to help the company make informed decisions, enhancing project efficiency and reducing potential financial losses.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.