Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus

Fang-Jye Shiue, Meng-Cong Zheng, Hsin-Yun Lee, Akhmad F.K. Khitam and Pei-Ying Li
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Fang-Jye Shiue: Grauate Institute of Architecture & Sustainable Planning, National Ilan University, Yilan City 260, Taiwan
Meng-Cong Zheng: Department of Industrial Design, National Taipei University of Technology, Taipei City 106, Taiwan
Hsin-Yun Lee: Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei City 106, Taiwan
Akhmad F.K. Khitam: Department of Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei City 106, Taiwan
Pei-Ying Li: Department of Industrial Design, Tatung University, Taipei City 104, Taiwan

Sustainability, 2019, vol. 11, issue 19, 1-19

Abstract: Renovation construction is employed for maintaining the long-term performance of buildings. For the occupants, the building users, renovation contributes to the acceptable levels of convenience and quality of the buildings. However, if the operation continues during the renovation for an area containing several buildings, such as a university campus, the impacts on the occupants are unavoidable. The complicated schedule plan is needed due to the various types of buildings and types of renovation under limited resources. The goal of this study is to build a model that can help the planners to make the renovation schedule plan. Taking a university campus as an example, the occupants’ convenience rate and the long-term quality of the building are analyzed in this paper. Based on the key attributes of building renovation, this study proposes a model integrating the genetic algorithm and simulation to provide the optimal schedule plan to the planners. The model is demonstrated by an application case of a university campus of 11 buildings remaining in operation. It helps the university maintain a good level of long-term performance of buildings.

Keywords: building renovation; maintenance management; building long-term performance; scheduling; simulation; genetic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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