MATEC Web Conf.
Volume 195, 2018The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|Number of page(s)||10|
|Section||Construction Management and Maintenance|
|Published online||22 August 2018|
Service life planning for electronics, mechanical and electrical components of a hotel building
Lecturer, Universitas Atma Jaya Yogyakarta, Indonesia
2 Alumni, Universitas Atma Jaya Yogyakarta, Indonesia
* Corresponding author: email@example.com
A hotel building in Yogyakarta was studied for its service life planning of electronic, electrical, and mechanical components the building. The study aims to assess the service life of hotel buildings including its electronics, mechanical and electrical components, and estimating the service life of each of the components. Data was collected from practitioners working in building maintenance office of several hotels in Yogyakarta. The Data was carefully analysed using descriptive statistics. This paper discusses the approaches and application of the availability of reference service life and service period data can be collected and applied in life cycle costing. The results of service-life data for periodical maintenance and replacement for various electronics, both mechanical and electrical parts are also presented for life cycle planning.
© 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.