MATEC Web Conf.
Volume 195, 2018The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|Number of page(s)||8|
|Section||Construction Management and Maintenance|
|Published online||22 August 2018|
The development of quality management systems in maintenance and monitoring the process of risk-based repair work in government buildings
Civil Engineering Department, Engineering Faculty, Universitas Indonesia, 16424 Kampus UI Depok, West Java, Indonesia
* Corresponding author: email@example.com
Buildings exemplify the social and economic aspects of an environment and provide shelters, space and facilities for human activity. A decent maintenance system is a vital component of all buildings. However, a good maintenance system is not always present in the government buildings of Indonesia. Government buildings require maintenance to extend sustainability, indirectly accomplishing services to the community. Financial planning is issued annually by the government to maintain their buildings, but there is no underlined Quality Management System in this plan. This study aims to develop a Quality Management System in maintenance and monitor the process of repair work in Government Buildings. The methods used in this research are: The Delphi method and risk questionnaire surveys. The risks found in each activity have been analysed descriptively and qualitatively, resulting in responses reflecting the highest of risk. The result was that the risk-based quality management system in maintenance and monitoring process of repair work was successfully applied to improve the performance in the environment of governmental buildings.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.