Optimizing the Renovation Scheduling of Leased Residential Buildings to Minimize Total Project Cost
Publication: Journal of Construction Engineering and Management
Volume 147, Issue 7
Abstract
This paper presents the development of a novel model for optimizing the scheduling of renovation projects for leased residential buildings. The computations of the developed model are executed using an optimization module that identifies an optimal renovation schedule that minimizes total renovation cost, a scheduling module that calculates the start and finish dates of each activity in all residential units, and a cost module that estimates the total renovation cost of each generated solution in the optimization module. A real-life case study of a residential renovation project is analyzed to compare the generated results by the model to those provided by two available models and three current industry practices. The outcome of this analysis confirms that the model was able to reduce the total renovation cost of the case study by 3.6%–4% compared to available models/practices. Furthermore, the results of the case study clearly illustrate the novel contributions of the model and its unique capability of complying with all relevant constraints, including the unit availability date, identifying an optimal project start date and an optimal unit renovation sequence for all leased residential units and minimizing the total renovation cost of leased residential buildings.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request.
Acknowledgments
The authors gratefully acknowledge the material related to the case study provided by King Fahd University of Petroleum and Minerals (Projects Management Office). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the King Fahd University of Petroleum and Minerals (Projects Management Office).
References
Altuwaim, A., and K. El-Rayes. 2018. “Optimizing the scheduling of repetitive construction to minimize interruption cost.” Constr. Eng. Manage. 144 (7): 1–12. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001510.
Bakry, I., O. Moselhi, and T. Zayed. 2014. “Optimized acceleration of repetitive construction projects.” Autom. Constr. 39 (Jan): 145–151. https://doi.org/10.1016/j.autcon.2013.07.003.
El-Rayes, K., and O. Moselhi. 2001. “Optimizing resource utilization for repetitive engineering.” J. Constr. Eng. Manage. 127 (1): 18–27. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:1(18).
Fan, S. L., K. S. Sun, and Y. R. Wang. 2012. “GA optimization model for repetitive projects with soft logic.” Autom. Constr. 21 (1): 253–261. https://doi.org/10.1016/j.autcon.2011.06.009.
Hegazy, T., M. Asce, and E. Kamarah. 2008. “Efficient repetitive scheduling for high-rise construction.” J. Constr. Eng. Manage. 134 (4): 253–264. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:4(253).
Hegazy, T., and N. Wassef. 2001. “Cost optimization in projects with repetitive nonserial activities.” J. Constr. Eng. Manage. 127 (3): 183–191. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:3(183).
Hyari, K., and K. El-Rayes. 2006. “Optimal planning and scheduling for repetitive construction projects.” J. Manage. Eng. 22 (1): 11–19. https://doi.org/10.1061/(ASCE)0742-597X(2006)22:1(11).
Hyari, K. H., K. El-Rayes, and M. El-Mashaleh. 2009. “Automated trade-off between time and cost in planning repetitive construction projects.” Constr. Manage. Econ. 27 (8): 749–761. https://doi.org/10.1080/01446190903117793.
Institute for Building Efficiency. 2014. “Why focus on existing buildings? Building performance management.” Accessed March 19, 2021. http://www.institutebe.com/Existing-Building-Retrofits/Why-Focus-On-ExistingBuildings.aspx.
Ipsilandis, P. G. 2007. “Multiobjective linear programming model for scheduling linear repetitive projects.” J. Constr. Eng. Manage. 133 (6): 417–424. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:6(417).
Jeunesse, E. 2019. Healthy home remodeling: Consumer trends and contractor preparedness. Cambridge, MA: Joint Center for Housing Studies of Harvard Univ.
Lee, H. Y. 2012. “Renovation scheduling to minimize user impact of a building that remains in operation.” Autom. Constr. 22 (Mar): 398–405. https://doi.org/10.1016/j.autcon.2011.09.018.
Liu, S. S., and C. J. Wang. 2007. “Optimization model for resource assignment problems of linear construction projects.” Autom. Constr. 16 (4): 460–473. https://doi.org/10.1016/j.autcon.2006.08.004.
Long, L. D., and A. Ohsato. 2009. “A genetic algorithm-based method for scheduling repetitive construction projects.” Autom. Constr. 18 (4): 499–511. https://doi.org/10.1016/j.autcon.2008.11.005.
Park, C. Y. 2017. “Managing tenant movement scenarios based on tenant satisfaction during occupied renovation activities.” Master’s thesis, Dept. of Architecture and Architectural Engineering, College of Engineering/Engineering Practice School.
RSMeans data. 2018. Buildings construction costs with RSMeans data. Rockland, MA: Gordian RSMeans Data.
Russell, A. D., and W. F. Caselton. 1988. “Extensions to linear scheduling optimization.” J. Constr. Eng. Manage. 114 (1): 36–52. https://doi.org/10.1061/(ASCE)0733-9364(1988)114:1(36).
Salama, T., and O. Moselhi. 2019. “Multi-objective optimization for repetitive scheduling under uncertainty.” Eng. Constr. Archit. Manage. 26 (7): 1294–1320. https://doi.org/10.1108/ECAM-05-2018-0217.
US Census Bureau. 2019. “2015-2019 American community survey 5-year estimates.” Accessed March 16, 2021. https://www.census.gov/search-results.html?searchType=web&cssp=SERP&q=residential%20units.
Whiteman, W. E., and H. G. Irwig. 1988. “Disturbance scheduling technique for managing renovation work.” J. Constr. Eng. Manage. 114 (2): 191–213. https://doi.org/10.1061/(ASCE)0733-9364(1988)114:2(191).
Yee, P., M. Fischer, J. Haymaker, P. Fischer, and M. Haymaker. 2013. “Automated identification of occupant interactions in renovations of occupied buildings.” J. Inf. Technol. Constr. 2009 (Dec): 67.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 147 • Issue 7 • July 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Aug 14, 2020
Accepted: Dec 29, 2020
Published online: May 14, 2021
Published in print: Jul 1, 2021
Discussion open until: Oct 14, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.