Issue |
E3S Web of Conf.
Volume 517, 2024
The 10th International Conference on Engineering, Technology, and Industrial Application (ICETIA 2023)
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Article Number | 15007 | |
Number of page(s) | 5 | |
Section | Safety on Sustainable Industries | |
DOI | https://doi.org/10.1051/e3sconf/202451715007 | |
Published online | 15 April 2024 |
Increasing Project Success in Wellhead and Christmas Tree Manufacturing Equipment Through Risk Management Culture
1 IM Tech Focus Group, Faculty of Technical and Vocational Education Universiti Tun Hussien Onn Malaysia, Parit Raja, 86400, Malaysia
2 Department of Technology Studies, Faculty of Technical and Vocational Education Universiti Tun Hussien Onn Malaysia, Parit Raja, 86400, Malaysia
3 Department of Mechanical Engineering, Faculty of Engineering, Universitas Muhammadiyah Surakarta, Jl. Ahmad Yani, Tromol Pos 1 Pabelan, Surakarta 57162, Indonesia
4 Faculty of Engineering, Mechanical Department Universitas Sangga Buana, Bandung 40124 Indonesia
* Corresponding author: abdulhamid@uthm.edu.my
The primary equipment for oil production, manufactured in a plant, is the wellhead and Christmas tree. By creating a standardized set of risk instruments and a risk management framework, embedding risk management into organizational culture will reduce the overhead of imposing risk management on every new manufacturing project. This study's goal is to improve project success by examining the culture of risk management practices in the production of wellhead and Christmas tree equipment. The information was gathered from companies in Malaysia and Batam, Indonesia, with 161 respondents in a population study. Employing Cronbach's alpha to analyze the descriptive data and determine its significance. The Cronbach alpha and significant value are displayed consequently. The study's data came from a post-survey and survey using a Google link form of companies with stock listed in Malaysia and Batam, Indonesia. These results show that risk culture and staff competency may be created as important variables to improve risk management implementation in manufacturing, based on descriptive statistical analysis. This paper shows how to create a multicultural project management process and raise project success rates by adhering to this approach.
© The Authors, published by EDP Sciences, 2024
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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