Multi-objective Optimization for the Portfolio Selection on Economic Prefabricated Component

Y. H. Gao and C. Mao ()
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Y. H. Gao: Chongqing University
C. Mao: Chongqing University

A chapter in Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 493-502 from Springer

Abstract: Abstract Off-site construction (OSC) has been proved to be an effective way to improve the quality and operative safety as well as to save labor and time. Nevertheless, present research usually examines only on the feasibility of the OSC, how to design and select the prefabricated components in generic project remains unclear and complex. This study aims to develop a feasible multi-objective algorithm based on genetic algorithm for optimizing the portfolio of prefabricated components, minimizing the cost and the total time of the project. The proposed algorithm has been tested under a generic construction project case and demonstrated that it can produce accurate and effective solutions. Pareto front solutions which are economic and time-saving are illustrated. These feasible portfolios of prefabricated component will help the stakeholders to address the challenge of cost-time trade-off.

Keywords: Prefabricated component selection; Multi-objective optimization; Cost-time trade-off (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-3977-0_37

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DOI: 10.1007/978-981-15-3977-0_37

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