Overview of construction simulation approaches to model construction processes

Bokor, Orsolya; Flórez, Laura; Osborne, Allan; Gledson, Barry

doi:10.2478/otmcj-2018-0018

Cited by 18 publications

(16 citation statements)

References 44 publications

(76 reference statements)

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“…Hybrid simulation approaches can be used for obtaining these. After selecting the most appropriate approach and determining the structure of the model, the input data need to be collected [42]. This is a crucial step as the output will only be as good as the input.…”

Section: Resultsmentioning

confidence: 99%

“…After the input data are available, the next step is to create the model and run the simulation [42]. Based on initial results, it needs to be refined, then verified and validated with data from real-life projects.…”

Section: Resultsmentioning

confidence: 99%

“…The other is SD for its ability to show the interrelationships of the factors that influence labour productivity. The structure of the model is explained in a previously published paper [42]. The next section describes the input data necessary for each component.…”

Section: Use Of Simulation For Productivity Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Input for Hybrid Simulation Modelling Construction Operations

Bokor¹,

Perez²,

Gledson³

et al. 2019

Proceedings of the Creative Construction Conference 2019

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Good pre-construction planning efforts are a vital part of the effective management and delivery of construction projects. In order to prepare more accurate schedules and cost calculations, realistic productivity rates to improve precision are needed. The use of simulation for modelling the elements of construction processes can assist with this aspiration. The application of hybrid simulation approaches is particularly appropriate as they can capture complicated behaviour, uncertainties, and dependencies. This paper discusses the use of one such approach combining discrete-event simulation (DES) and system dynamics (SD) to determine more accurate productivity rates. The DES component models the operations with the workflow of the tasks performed. Its input consists of the task elements with their durations and resource information. The factors that influence the productivity rates are taken into account with the help of the SD component. Input for this part of the model includes the factors as well as considerations of their interrelationships and effects. In this work, a case study of such input data for masonry worksfor brick-and blockworkis presented. It shows the input data and its integration in the DES-SD approach for modellers to determine more realistic productivity rates.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Input for Hybrid Simulation Modelling Construction Operations

Bokor¹,

Perez²,

Gledson³

et al. 2019

Proceedings of the Creative Construction Conference 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Al-Kaissy et al (2019) reviewed CSM methods used in construction research and found that three simulation paradigms have been used: Discrete Event Simulation (DES), Agent-Based Modeling (ABM) and System Dynamics (SD). The use of hybrid simulation paradigms has also been discussed in construction literature (Naraghi et al 2017;Bokor et al 2019). Moreover, simulation-based optimization is becoming a popular topic among construction researchers nowadays (González et al 2009;Zaki et al 2019).…”

Section: Csmmentioning

confidence: 99%

Exploring the Integration of Last Planner® System, Bim, and Construction Simulation

Wickramasekara¹,

González²,

O'Sullivan³

et al. 2020

Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC)

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Much attention has been paid to Computer Simulation and Modelling (CSM) in the research circles of construction over the last sixty years. However, it has not been widely adopted within the construction industry. In this paper, we explore theoretically the potential of the integration between CSM, the Last Planner System (LPS) and Building Information Modelling (BIM) to accelerate the uptake of CSM in the construction industry. To do so, a review of the literature to identify the synergies between CSM, LPS and BIM was undertaken, where it was found that little research has been done associated with their integration and linkages as a whole. We found that an explicit integration of these three domains has the potential to enhance and accelerate the adoption of CSM in construction as it provides the opportunity to engage construction project stakeholders towards CSM, focusing on domain-specific characteristics and recent advancements of construction management. Based on our review, we propose five research questions to guide the development of a domain-specific construction simulation framework to be considered in future research.

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“…The accurate prediction of the compaction duration can contribute to effective construction organization management and resource planning. The discrete event simulation (DES) method, as a popular tool in the civil engineering construction field [ 3 , 4 , 5 , 6 , 7 ], can achieve operation duration prediction by simulating the detailed resource flow based on the concept of entity and event. When building a construction simulation model, both the input parameter model and state transition conditions of resources are essential prerequisites and have a significant impact on the reliability of the model [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Compaction Construction Simulation Based on Bayesian Field Theory

Zhang

Guan

et al. 2020

Sensors

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The compaction construction process is a critical operation in civil engineering projects. By establishing a construction simulation model, the compaction duration can be predicted to assist construction management. Existing studies have achieved adaptive modelling of input parameters from a Bayesian inference perspective, but usually assume the model as parametric distribution. Few studies adopt the nonparametric distribution to achieve robust inference, but still need to manually set hyper-parameters. In addition, the condition of when the roller stops moving ignores the impact of randomness of roller movement. In this paper, a new adaptive compaction construction simulation method is presented. The Bayesian field theory is innovatively adopted for input parameter adaptive modelling. Next, whether rollers have offset enough distance is used to determine the moment of stopping. Simulation experiments of the compaction process of a high earth dam project are demonstrated. The results indicate that the Bayesian field theory performs well in terms of accuracy and efficiency. When the size of roller speed dataset is 787,490, the Bayesian field theory costs only 1.54 s. The mean absolute error of predicted compaction duration reduces significantly with improved judgment condition. The proposed method can contribute to project resource planning, particularly in a high-frequency construction monitoring environment.

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Overview of construction simulation approaches to model construction processes

Cited by 18 publications

References 44 publications

Input for Hybrid Simulation Modelling Construction Operations

Input for Hybrid Simulation Modelling Construction Operations

Exploring the Integration of Last Planner® System, Bim, and Construction Simulation

Adaptive Compaction Construction Simulation Based on Bayesian Field Theory

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