Issue |
MATEC Web Conf.
Volume 258, 2019
International Conference on Sustainable Civil Engineering Structures and Construction Materials (SCESCM 2018)
|
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Article Number | 02026 | |
Number of page(s) | 11 | |
Section | Construction Management, Construction Method and System, Optimization and Innovation in Structural Design | |
DOI | https://doi.org/10.1051/matecconf/201925802026 | |
Published online | 25 January 2019 |
Construction project productivity assesment model and its implementation in Indonesia construction industry
1 Master Student, Civil Engineering Department, 60111 Institut Teknologi Sepuluh Nopember Surabaya, Indonesia
2 Lecturer, Civil engineering Department, 60111 Institut Teknologi Sepuluh Nopember Surabaya, Indonesia
* email: rintih.kasih@gmail.com
** email: trijokowahyuadi@gmail.com
The increase of global competition in the world of construction forced construction companies to increase their productivity. One of the most important parts of the construction project is productivity. It is absolutely necessary to have a thorough research on the construction project productivity (CPP), so that contractors know the productivity level of their projects. This assessment has an effect on increasing the productivity of a construction project until it achieves the highest level of the construction project productivity. The purpose of this study is to propose a construction project productivity assesment model. In this study, project productivity variables are obtained by conducting in-depth literature review and structured interview with construction experts. Pairwise comparison is used to determine the factor weight. The final assessment is represented in the form of a web spider graph. To validate the model, several building projects in Indonesia are used as a case study. The weight for the CPP assessment at the internal level was 73.8% at an external rate of 26.2%. At the internal level, there are 2 categories namely: management category for 39.38% and human category for 34.42%. CPP results in Indonesia are the highest in the category of human variable worker turnover and availability while the lowest is in the category of management inspection delays.
© The Authors, published by EDP Sciences, 2019
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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