Collaborative Scheduling of On-Site and Off-Site Operations in Prefabrication
As a kind of sustainable technology, prefabricated construction has increasingly gained momentum internationally due to its numerous benefits that include, but are not limited to, safe construction, waste minimization, quality improvement, and productivity enhancement. However, productivity in this...
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Veröffentlicht in: | Sustainability 2020-11, Vol.12 (21), p.9266 |
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creator | Chen, Wei Zhao, Ying Yu, Yangqing Chen, Kaiman Arashpour, Mehrdad |
description | As a kind of sustainable technology, prefabricated construction has increasingly gained momentum internationally due to its numerous benefits that include, but are not limited to, safe construction, waste minimization, quality improvement, and productivity enhancement. However, productivity in this domain is reliant on the efficiency of both on-site and off-site operations. On this basis, focusing on collaborative scheduling mechanisms, the current paper develops a static scheduling model and a dynamic scheduling model in prefabricated construction, and uses a simulated annealing algorithm (SA) to settle the optimization of operation planning considering delays by risks. The developed models are validated using data from a construction project with multiple suppliers of prefabricated elements. This study contributes to the body of knowledge in prefabricated construction management by streamlining collaborative scheduling in prefabrication. The established models provide construction managers with decision support systems with the aims of minimizing delays and related cost overruns. |
doi_str_mv | 10.3390/su12219266 |
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The established models provide construction managers with decision support systems with the aims of minimizing delays and related cost overruns.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su12219266</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Artificial intelligence ; Building information modeling ; Collaboration ; Construction ; Construction industry ; Construction management ; Cost control ; Critical path ; Flooring ; Genetic algorithms ; Heuristic ; Literature reviews ; Manufacturing ; Onsite ; Optimization ; Prefabricated buildings ; Prefabrication ; Productivity ; Quality control ; Radio frequency identification ; Research methodology ; Schedules ; Scheduling ; Simulated annealing ; Simulation ; Sustainability ; Waste management ; Working hours</subject><ispartof>Sustainability, 2020-11, Vol.12 (21), p.9266</ispartof><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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subjects | Artificial intelligence Building information modeling Collaboration Construction Construction industry Construction management Cost control Critical path Flooring Genetic algorithms Heuristic Literature reviews Manufacturing Onsite Optimization Prefabricated buildings Prefabrication Productivity Quality control Radio frequency identification Research methodology Schedules Scheduling Simulated annealing Simulation Sustainability Waste management Working hours |
title | Collaborative Scheduling of On-Site and Off-Site Operations in Prefabrication |
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