The Simulation Model for Predicting the Productivity of the Reinforced Concrete Slabs Concreting Process

Matejević, Biljana; Zlatanović, Milorad; Cvetković, Dušan

doi:10.17559/tv-20170627195003

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…Marzouk and Ali (2013) proposed a productivity estimation model to study the impacts of safety and space availability on the productivity of piling equipment at construction sites to improve the project schedule. Matejevic et al (2018) used the AnyLogic software to establish a productivity prediction model based on discrete events and agent-based modeling. The study analyzed the constraints affecting concrete production capacity at construction sites to accurately plan the concrete production process and shorten the construction duration.…”

Section: Duration Optimizationmentioning

confidence: 99%

A Review of Agent-Based Modeling in Construction Management: An Analytical Framework Based on Multiple Objectives

Liu,

Meng,

Zhi

et al. 2024

Journal of Civil Engineering and Management

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The increased complexity of construction projects has caused various management challenges. To clarify the mechanism of construction system complexity and improve the ability to manage the complexity of construction projects, the Agent-based modeling (ABM) method has been introduced and used in the construction management field. Nevertheless, a systematic, holistic, and panoramic understanding of the use of the ABM model in the construction management field is still lacking. To address this research gap, this study reviewed 133 historical explorations retrieved from the database of Web of Science. By using the multiple objectives of construction management as the literature classification framework, the study described the research status of the agent-based modeling method in the field of construction management. On this basis, this paper suggested the improvement paths in the application of this method from three aspects. It is expected that this study will provide a theoretical basis for enhancing understanding of the use of the ABM method in construction management, and also provide insights for future explorations in the area.

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Section: Duration Optimizationmentioning

confidence: 99%

A Review of Agent-Based Modeling in Construction Management: An Analytical Framework Based on Multiple Objectives

Liu,

Meng,

Zhi

et al. 2024

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

show abstract

“…Park et al in [21] used the system dynamics as a method for designing a simulation model of ready-mix concrete (RMC) delivery [21]. To predict the productivity of slab concreting, a simulation model [22] was developed based on the collected data on eight construction sites of high-rise buildings in Niš, using a multimethod approach (discrete event simulation and agent-based simulation). Lu et al in [23] proposed a simulation model named HKCONSIM, which is based on discrete event simulation and is simple to use because it does not require special knowledge of any software terminology.…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

“…The object interdependency is presented in more detail, which ultimately yields more precise results. Agent-based modeling tools can also be used to optimize a model or to test its stability [22].…”

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confidence: 99%

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Comparative Representation of Two Models for Predicting the Productivity of Column and Wall Concreting Process

Matejević-Nikolić

Živković

2022

Buildings

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One of the most important tasks of managing the construction process is to achieve the highest possible productivity. The productivity that can be achieved on a construction site depends on a number of influencing factors and on the type of work that is executed. Concrete works are a crucial activity when constructing high-rise buildings built in the RC frame structural system. Therefore, it is very important to adequately manage the concreting process in order to meet the set deadlines and reduce costs. This paper presents an approach for predicting the productivity of the concreting process based on the conducted quantitative research, by recording the concreting process on construction sites of buildings in Niš, Serbia. The concreting of reinforced concrete columns and walls on seven construction sites was recorded for 20 months. The total amount of fresh concrete that is built into the elements is 848 m3 and the total duration is 114 h of work. Factors that can affect productivity have been identified and, by applying the multiple linear regression and simulation methods and techniques and using the discrete event method and the agent-based method, models have been developed to predict the productivity of the concreting of reinforced concrete columns and walls. An analysis of the developed models was performed, and a comparative presentation was provided.

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The Simulation Model for Predicting the Productivity of the Reinforced Concrete Slabs Concreting Process

Cited by 2 publications

References 11 publications

A Review of Agent-Based Modeling in Construction Management: An Analytical Framework Based on Multiple Objectives

A Review of Agent-Based Modeling in Construction Management: An Analytical Framework Based on Multiple Objectives

Comparative Representation of Two Models for Predicting the Productivity of Column and Wall Concreting Process

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