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Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application

This study investigates a project scheduling problem of prefabricated building (PB) construction in an uncertain environment. Different from the traditional scheduling models in PB construction, we consider a complex multi-stage cooperation system including the production, transportation and assembl...

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Autores principales: Wang, Jingjing, Liu, Huimin, Wang, Zongxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Civil Engineers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148573/
http://dx.doi.org/10.1007/s12205-023-2164-8
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author Wang, Jingjing
Liu, Huimin
Wang, Zongxi
author_facet Wang, Jingjing
Liu, Huimin
Wang, Zongxi
author_sort Wang, Jingjing
collection PubMed
description This study investigates a project scheduling problem of prefabricated building (PB) construction in an uncertain environment. Different from the traditional scheduling models in PB construction, we consider a complex multi-stage cooperation system including the production, transportation and assembly (PTA) phases. In this system, both activity durations and resource amounts are stochastic variables. By applying the reliability theory to the stochastic scheduling model innovatively, we formulate a duration reliability model to maximize the probability of non-delayed project completion, within the resource constraints. As the proposed model is a non-deterministic polynomial hard (NP-hard) problem, a hybrid meta-heuristic differential evolution particle swarm optimization (DEPSO) algorithm is developed, which is utilized the mutation factor of the differential evolution (DE) algorithm in the framework of the particle swarm optimization (PSO). Finally, a real-life example of a PB construction project is used to explore the performance of the proposed DEPSO algorithm. The result shows that the hybrid algorithm DEPSO can better find the global optimal solution in the multi-dimensional optimization problem.
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spelling pubmed-101485732023-05-01 Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application Wang, Jingjing Liu, Huimin Wang, Zongxi KSCE J Civ Eng Construction Management This study investigates a project scheduling problem of prefabricated building (PB) construction in an uncertain environment. Different from the traditional scheduling models in PB construction, we consider a complex multi-stage cooperation system including the production, transportation and assembly (PTA) phases. In this system, both activity durations and resource amounts are stochastic variables. By applying the reliability theory to the stochastic scheduling model innovatively, we formulate a duration reliability model to maximize the probability of non-delayed project completion, within the resource constraints. As the proposed model is a non-deterministic polynomial hard (NP-hard) problem, a hybrid meta-heuristic differential evolution particle swarm optimization (DEPSO) algorithm is developed, which is utilized the mutation factor of the differential evolution (DE) algorithm in the framework of the particle swarm optimization (PSO). Finally, a real-life example of a PB construction project is used to explore the performance of the proposed DEPSO algorithm. The result shows that the hybrid algorithm DEPSO can better find the global optimal solution in the multi-dimensional optimization problem. Korean Society of Civil Engineers 2023-04-29 /pmc/articles/PMC10148573/ http://dx.doi.org/10.1007/s12205-023-2164-8 Text en © Korean Society of Civil Engineers 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Construction Management
Wang, Jingjing
Liu, Huimin
Wang, Zongxi
Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
title Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
title_full Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
title_fullStr Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
title_full_unstemmed Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
title_short Stochastic Project Scheduling Optimization for Multi-stage Prefabricated Building Construction with Reliability Application
title_sort stochastic project scheduling optimization for multi-stage prefabricated building construction with reliability application
topic Construction Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148573/
http://dx.doi.org/10.1007/s12205-023-2164-8
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AT liuhuimin stochasticprojectschedulingoptimizationformultistageprefabricatedbuildingconstructionwithreliabilityapplication
AT wangzongxi stochasticprojectschedulingoptimizationformultistageprefabricatedbuildingconstructionwithreliabilityapplication