Duration and Labor Resource Optimization for Construction Projects—A Conditional-Value-at-Risk-Based Analysis
Auteur(s): |
Fan Ding
Min Liu Simon M. Hsiang Peng Hu Yuxiang Zhang Kewang Jiang |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Buildings, 1 février 2024, n. 2, v. 14 |
Page(s): | 553 |
DOI: | 10.3390/buildings14020553 |
Abstrait: |
The complexity and uncertainty of construction projects contribute to low efficiency in the construction industry. This research applied the Takt-time planning method to optimize the construction working process, and proposed a risk control framework based on Value at Risk (VaR) and Conditional Value at Risk (CVaR) approaches to explore and predict a project schedule and cost performance under different scenarios. This research selected a high-rise residential building project for a case study and collected 1672 productivity data samples. Arena Simulation models were established based on 90 combinations of labor assignments to assess Takt-time planning strategies’ impact on project performance in four scenarios. The VaR and CVaR evaluations at 75% and 90% confidence levels were compared to balance project benefits and risks. Without any overtime or additional workers, this research found a Takt-time planning method that can reduce the project duration by 20.2% and labor costs by 2.1% at the same time, using a labor assignment of 12 bar placers, 12 carpenters, and 5 pipefitters. The findings can assist construction managers to achieve a shorter duration, reduced cost, and safer work environment, which will be very effective and beneficial to improve project overall performance. |
Copyright: | © 2024 by the authors; licensee MDPI, Basel, Switzerland. |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
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sur cette fiche - Reference-ID
10773815 - Publié(e) le:
29.04.2024 - Modifié(e) le:
05.06.2024