System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

Ding, Zhikun; Gong, Wenyan; Li, Shenghan; Wu, Zezhou

doi:10.3390/su10072484

Cited by 99 publications

(51 citation statements)

References 52 publications

(44 reference statements)

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“…While System Dynamics and discrete-event simulation modeling are traditional, agent-based simulation modeling is relatively new and can be used across all abstraction levels [40]. Agents may model objects of very diverse nature and scale and allow defining the agents' behavior which will prove useful for more complex research.…”

Section: Production Process Simulationmentioning

confidence: 99%

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Agent-Based Simulation of Value Flow in an Industrial Production Process

et al. 2019

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The current competitive environment demands companies to be more and more efficient. In order to increase manufacturing efficiency, two apparently independent approaches have emerged: lean strategies, focusing on identifying and minimizing non-added value activities, identifying wastes in the system and their elimination, and information tools for planning and controlling activities. In this paper, a manufacturing system was considered for which it was necessary to increase the production capacity in order to respond to the customer’s increased demand. A practical case study in the automotive industry for a medium-sized enterprise was considered. In order to investigate the production process parameters and to implement lean principles, Value Stream Mapping (current analysis and optimized solution) and Anylogic agent-based simulations were carried out. Based on this, the lean performances, specific for the target VSM, were evaluated in terms of key performance indicators. The benefits of integrating agent-based simulation in the design and analysis of the value flow in the production chain are the capitalization of the information offered by Value Stream Mapping and the possibility to choose the best one from the possible scenarios. It generates important time and cost reductions without further resource waste.

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Section: Production Process Simulationmentioning

confidence: 99%

“…Agents may model objects of very diverse nature and scale and allow defining the agents' behavior which will prove useful for more complex research. The agent-based approach is more general and powerful [31,32,40,41]; it is also easier to implement and maintain [40].…”

Section: Production Process Simulationmentioning

confidence: 99%

Agent-Based Simulation of Value Flow in an Industrial Production Process

et al. 2019

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“…The amount of waste generated from construction projects is enormous [19]. Many countries in the world are facing the issues caused by construction and demolition waste.…”

Section: Literature Reviewmentioning

confidence: 99%

Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen

et al. 2019

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With the rapid development of urbanization, more and more people are willing to improve their living conditions, thus substantial attention has been paid to residential renovation in China. As a result, large quantities of renovation waste are generated annually which seriously challenge sustainable urban development. To effectively manage renovation waste, accurate prediction of waste generation rates is a prerequisite. However, in the literature, few attempts have been made for predicting renovation waste as renovation activities vary significantly in different cases. This study offers an approach to estimate the amount of renovation waste based on the vacancy rate and renovation waste generation rates at a city level. The grey system theory was applied to predict the amount of renovation waste in Shenzhen. Results showed that the amount of renovation waste would reach 135,620 tons in 2023. The research findings can provide supportive information to relevant stakeholders for developing a renovation waste management framework.

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“…Moreover, we previously established the dynamic transformation relationship between the annual average concentration of PM and its precursor emissions, and simulated the interaction between the economic, energy and atmospheric environment [30]. It can simulate the changes of various variables; calculate the time when PM 10 and PM 2.5 concentrations reach the standard; facilitate macro prediction and analysis; and improve the research efficiency [31]. It is an ideal "laboratory" for complex systems [32,33].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Impact of Urban Forest Scale on PM2.5 and PM10 based on System Dynamics

Zhou¹,

Liu²,

Xia³

2019

Sustainability

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In the context of ecological civil construction in China, afforestation is highly valued. Planting trees can improve air quality in China's large cities. However, there is a lack of scientific analysis quantifying the impact urban forest scale has on the air quality, and what scale is advisable. The problem still exists of subjective decision-making in afforestation. Similar studies have rarely analyzed the long-term effect research of urban forests on air improvement. Using as an example, the city of Wuhan, this paper identifies the regularity between particulate matter concentration and adsorption of sample leaves, and establishes a system dynamics model of "economy, energy and atmospheric environment.” By combining this regularity with the model, the long-term impact of forest scale on particulate matter and atmospheric environment was simulated. The results show that if the forest coverage rate reaches at least 30%, the annual average concentrations of inhalable particulate matter (PM10) and fine particulate matter (PM2.5) can both reach the Grade I limit of national Ambient Air Quality Standard by 2050. The current forest cover is 22.9% of the administrative area. Increasing the forest cover by 600 km2 would increase this percentage to 30% of the total area. In the long run (by the year 2050), however, we showed that this increase would only reduce the annual concentration of PM2.5 and PM10 by 1–2%. Therefore, about 90% of the concentration reduction would still rely on the traditional emission reduction measures. More other ecological functions of forests should be considered in afforestation plan.

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System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management

Cited by 99 publications

References 52 publications

Agent-Based Simulation of Value Flow in an Industrial Production Process

Agent-Based Simulation of Value Flow in an Industrial Production Process

Predicting Renovation Waste Generation Based on Grey System Theory: A Case Study of Shenzhen

Simulation of the Impact of Urban Forest Scale on PM2.5 and PM10 based on System Dynamics

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