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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Fang-Jye Shiue & Meng-Cong Zheng & Hsin-Yun Lee & Akhmad F.K. Khitam & Pei-Ying Li, 2019. "Renovation Construction Process Scheduling for Long-Term Performance of Buildings: An Application Case of University Campus," Sustainability, MDPI, vol. 11(19), pages 1-19, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5542-:d:274324
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    References listed on IDEAS

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    2. Abolfazl Farahani & Holger Wallbaum & Jan-Olof Dalenbäck, 2019. "Optimized maintenance and renovation scheduling in multifamily buildings – a systematic approach based on condition state and life cycle cost of building components," Construction Management and Economics, Taylor & Francis Journals, vol. 37(3), pages 139-155, March.
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    4. Aliakbar Kamari & Stefan Jensen & Maria Leonhard Christensen & Steffen Petersen & Poul Henning Kirkegaard, 2018. "A hybrid Decision Support System for Generation of Holistic Renovation Scenarios—Cases of Energy Consumption, Investment Cost, and Thermal Indoor Comfort," Sustainability, MDPI, vol. 10(4), pages 1-23, April.
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    Cited by:

    1. Dar-Li Yang & Wen-Hung Kuo, 2019. "Minimizing Makespan in A Two-Machine Flowshop Problem with Processing Time Linearly Dependent on Job Waiting Time," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    2. Yuri Seki & Ayokunle Olubunmi Olanipekun & Monty Sutrisna, 2022. "End-User Stakeholder Engagement in Refurbishment Design in Higher Education," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    3. Beata Nowogońska & Magdalena Mielczarek, 2021. "Renovation Management Method in Neglected Buildings," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    4. Shu-Shun Liu & Muhammad Faizal Ardhiansyah Arifin, 2021. "Preventive Maintenance Model for National School Buildings in Indonesia Using a Constraint Programming Approach," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    5. Guorui Chen & Li Cheng & Foyuan Li, 2022. "Integrating Sustainability and Users’ Demands in the Retrofit of a University Campus in China," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    6. Fabian Dunke & Stefan Nickel, 2023. "A matheuristic for customized multi-level multi-criteria university timetabling," Annals of Operations Research, Springer, vol. 328(2), pages 1313-1348, September.
    7. Beata Nowogońska, 2020. "Consequences of Abandoning Renovation: Case Study—Neglected Industrial Heritage Building," Sustainability, MDPI, vol. 12(16), pages 1-14, August.

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