Automated production planning in panelized construction enabled by integrating discrete-event simulation and BIM

Liu, H.; Altaf, Mohammed Sadiq; Lei, Zhen; Lu, Marlene; Al‐Hussein, Mohamed

doi:10.14288/1.0076315

Cited by 12 publications

(1 citation statement)

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“…Stochastic factors (e.g., triangular distribution) were also incorporated in the regression models to account for uncertainties such as worker performance or machine breakdown. Similar estimation methods have been used in other studies to estimate the processing times at workstations [18][19][20]. Such approaches constitute an improvement upon using a single average value to model the duration of an entire process at a workstation.…”

Section: Process Time Estimation Methodsmentioning

confidence: 94%

Data- and Knowledge-Driven Cycle Time Estimation in Offsite Construction

Alsakka,

Yu,

Hamzeh

et al. 2023

Preprint

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Cycle times at workstations in offsite construction factories fluctuate widely due to various influencing factors. Consequently, relying on average rates, such as length per unit of time, for estimating cycle times proves to be inaccurate, often leading to significant deviations between production schedules and actual operations. To address this issue, this study proposes an estimation system that leverages machine-learning-based prediction, statistical methods, 3D simulation, and computer vision to predict cycle times at the workstation level. Testing of the system on a semi-automated wood-wall framing workstation in a panelized construction factory shows that it reduces the mean absolute error and sum of errors by approximately 36% and 68%, respectively, compared to the fixed rate method. The results also highlight the efficacy of using computer vision data for training machine-learning models for cycle time estimation, the importance of identifying and understanding the factors influencing cycle times, and the impact of random delays on the accuracy of cycle time estimation systems.

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Section: Process Time Estimation Methodsmentioning

confidence: 94%

Data- and Knowledge-Driven Cycle Time Estimation in Offsite Construction

Alsakka,

Yu,

Hamzeh

et al. 2023

Preprint

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Simplified Scheduling of a Building Construction Process using Discrete Event Simulation

Forcael¹,

González²,

Soto³

et al. 2018

Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Educat

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Planning and Scheduling tools used by construction professionals nowadays not always consider the effect of variability in the construction process; they do not consider explicitly the effect of changes in activity durations along the production chain. Discrete event simulation approach is a relevant exception that deserves particular attention from the construction industry. The present research proposes a discrete event simulation model applied to a simplified construction process schedule. This model considered main construction activities divided in: foundations, structure and roofing. The model can be extended and easily applied to other construction activities. Input parameters for the model were obtained directly from on-site field experience and a beta unimodal distribution assigned. On a first stage, PERT scheduling methodology was used for the model, which was later compared with discrete event simulation. Results did not provide evidence of significant statistical differences between different probability distribution used with respect to the mean project duration obtained using PERT scheduling as compared to the discrete event simulation model. This provides conclusions about total project duration and validation of the probability distribution types considered in the present research.

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BIM no planejamento de empreendimentos com sistemas de painéis pré-fabricados: uma alternativa para obras de habitação social

Bezerra

Santos

Scheer

2018

PARC Pesq. em Arquit. e Constr.

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A pré-fabricação na construção ou construção off-site é apontada por pesquisadores como uma alternativa de industrializar o processo construtivo e atingir melhores níveis de desempenho. A utilização dos sistemas de painéis pré-fabricados, por sua vez, é considerada uma opção mais flexível e de execução mais simples dentre os diversos tipos de construção off-site existentes. Estes sistemas também são apontados como ideais para a construção de habitações de interesse social, em razão do seu alto desempenho sustentável e execução simples. Além disso, devido ao déficit habitacional verificado em países menos desenvolvidos, novos métodos construtivos que tornem a construção de habitações populares mais rápida e barata é necessária. Portanto, o presente artigo busca investigar, por meio da metodologia de Revisão Sistemática da Literatura, a aplicação de Building Information Modeling (BIM) na construção com painéis pré-fabricados, de modo a chamar atenção para o potencial de uso dessas tecnologias como forma de suprir a demanda por moradia em países emergentes e subdesenvolvidos.

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Automated production planning in panelized construction enabled by integrating discrete-event simulation and BIM

Cited by 12 publications

References 0 publications

Data- and Knowledge-Driven Cycle Time Estimation in Offsite Construction

Data- and Knowledge-Driven Cycle Time Estimation in Offsite Construction

Simplified Scheduling of a Building Construction Process using Discrete Event Simulation

BIM no planejamento de empreendimentos com sistemas de painéis pré-fabricados: uma alternativa para obras de habitação social

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