Application of Agent-Based Modeling and Simulation to Understanding Complex Management Problems in Cem Research

Son, JeongWook; Rojas, Eddy M.; Shin, Seung Woo

doi:10.3846/13923730.2014.893916

Cited by 15 publications

(13 citation statements)

References 61 publications

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“…Siebers et al (2010) argue that ABM has an advantage over DES in cases where the focus is not on the process but on how the individual agents, who can learn and adapt, affect the system. Son et al (2015) emphasize similar positive properties through examples of project teams in large-scale construction projects. They recommend ABM for modeling, e.g., the international construction market with countries and firms as agents (Son et al, 2015).…”

Section: Basic Simulation Methodsmentioning

confidence: 72%

“…Son et al (2015) emphasize similar positive properties through examples of project teams in large-scale construction projects. They recommend ABM for modeling, e.g., the international construction market with countries and firms as agents (Son et al, 2015). Sawhney et al (2003) advise using ABM to increase construction safety on site by modeling the construction environment, workers with their various tolerance levels toward risk (agents) and safety management practices.…”

Section: Basic Simulation Methodsmentioning

confidence: 72%

See 1 more Smart Citation

Overview of construction simulation approaches to model construction processes

Bokor

Flórez

Osborne

et al. 2019

Organization, Technology and Management in Construction: An International Journal

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Abstract Construction simulation is a versatile technique with numerous applications. The basic simulation methods are discrete-event simulation (DES), agent-based modeling (ABM), and system dynamics (SD). Depending on the complexity of the problem, using a basic simulation method might not be enough to model construction works appropriately; hybrid approaches are needed. These are combinations of basic methods, or pairings with other techniques, such as fuzzy logic (FL) and neural networks (NNs). This paper presents a framework for applying simulation for problems within the field of construction. It describes DES, SD, and ABM, in addition to presenting how hybrid approaches are most useful in being able to reflect the dynamic nature of construction processes and capture complicated behavior, uncertainties, and dependencies. The examples show the application of the framework for masonry works and how it could be used for obtaining better productivity estimates. Several structures of hybrid simulation are presented alongside their inputs, outputs, and interaction points, which provide a practical reference for researchers on how to implement simulation to model construction systems of labor-intensive activities and lays the groundwork for applications in other construction-related activities.

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Section: Basic Simulation Methodsmentioning

confidence: 72%

Section: Basic Simulation Methodsmentioning

confidence: 72%

Overview of construction simulation approaches to model construction processes

Bokor

Flórez

Osborne

et al. 2019

Organization, Technology and Management in Construction: An International Journal

View full text Add to dashboard Cite

show abstract

“…The rise of computation has generated a new field of knowledge called "complex systems", and the interconnected and complex world also makes simple models no longer sufficient to ECAM 29,9 answer many of the questions arise. Since complex systems show features of decentralisation and adaptation (Son et al, 2015), the multi-agent system (MAS) has developed rapidly in recent years based on its capacity to deal with complicated problems regardless of subject area (Liang et al, 2016). The MAS is an extension of distributed artificial intelligence (AI), and an assembly of two or more agents having homogeneous or heterogeneous architectures, with the agent perspective as the most important and special feature (Lv et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Applications of multi-agent systems from the perspective of construction management: A literature review

Xiang

Tan

Shen

et al. 2021

ECAM

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PurposeThe applications of multi-agent systems (MASs) are considered to be among the most promising paradigms for detailed investigations and reliable problem-solving methods, and MAS applications make it possible for researchers and practitioners to better understand complex systems. Although a number of prior studies have been conducted to address complex issues that arise from construction projects, few studies have summarised the applications and discussed the capacity of MASs from the perspective of construction management. To fill the gap, this paper provides a comprehensive literature review of MAS applications from the perspective of construction management.Design/methodology/approachWeb of Science and Scopus are the most commonly used international databases in conducting the literature reviews. A total of 86 relevant papers published in SCI-Expanded, SSCI and Ei Compendex journals related to the application of MASs from the perspective of construction management are selected to be analysed and discussed in this paper.FindingsBased on the 86 collected publications, the utilisations of MASs to support the management of the supply chain and the improvement of project performance are identified from the perspective of construction management, the characteristics and barriers of current MAS applications are analysed, a framework for developing agent-based models to address complex problems is proposed, and future research directions of MAS applications are discussed.Originality/valueThis review can serve as a useful reference for scholars to enhance their understanding of the current research and guide future research on MASs. The proposed framework can help build agent-based models to address complex problems in construction management.

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“…Simulation has been proven to be a powerful tool for construction schedule analysis, which can conveniently investigate different construction plans and provide useful information for management (Abdallah & Marzouk, 2013;Gurgun, Zhang, & Touran, 2013;Han, Ko, Hong, Koo, & Lee, 2016). Since Halpin (1977) proposed the cycle operation network (CYCLONE) construction simulation method for repetitive projects, there have been various simulation methods including UM-CYCLONE (Ioannou, 1989), Micro-CYClONE (Halpin, 1990), MODSIM (Oloufa, 1993), STROBOSCOPE (Martinez & Ioannou, 1994), Simphony (AbouRizk & Mohamed, 2000), COSYE (AbouRizk & Hague, 2009), hybrid SD-DES (Alvanchi, Lee, & AbouRizk, 2011) and ABMS (Son, Rojas, & Shin, 2015). For RCC dam construction, Wang, Zhong, and Zha (1995) investigated the RCC dam construction simulation using the system simulation and queue stochastic simulation network.…”

Section: Introductionmentioning

confidence: 99%

Construction Phase Oriented Dynamic Simulation: Taking RCC Dam Placement Process as an Example

Zhong

et al. 2019

Journal of Civil Engineering and Management

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Construction simulation has been widely applied in schedule analysis. However, traditional simulation is based on static models built in the planning or design phase, which focuses on overall project-level schedule analysis. To provide activity-level simulation for on-site schedule management, a construction phase oriented dynamic simulation method is proposed, which takes roller compacted concrete (RCC) dam placement process as an example. Considering various innerlayer and inter-layer activities and different construction organization modes, a detailed placement process simulation model is built. Based on construction data collected by real-time monitoring, a construction activity modeling method is given. Additionally, Dirichlet process mixture (DPM) models are applied for simulation parameter updates, which endows density estimation with considerable flexibility and robustness. A fast inference algorithm is also proposed to realize the fast posterior computation of DPM models. The proposed method is tested by an RCC dam project in southwest China. The results show that the proposed method can reflect the dynamic features of the actual placement process in the construction phase and provide accurate schedule predictions for on-site construction management.

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Application of Agent-Based Modeling and Simulation to Understanding Complex Management Problems in Cem Research

Cited by 15 publications

References 61 publications

Overview of construction simulation approaches to model construction processes

Overview of construction simulation approaches to model construction processes

Applications of multi-agent systems from the perspective of construction management: A literature review

Construction Phase Oriented Dynamic Simulation: Taking RCC Dam Placement Process as an Example

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