A Dynamic Simulation Model for Economic Feasibility of Apartment Development Projects

Lee, Kwangchae; Kim, Sunkuk; Son, Seunghyun; Kim, Doyeong Kim

doi:10.3846/ijspm.2019.9822

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Policies were divided into two categories: those based on time (hiring intervals) and those based on labor (work crew) composition. A paper of Lee et al [20] focused on the economic feasibility of apartment development projects. System dynamics was used in the model using a case study with a 1794-unit development project.…”

Section: Project Managementmentioning

confidence: 99%

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

Zanker

Bureš

Tučník

2021

Systems

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System dynamics, as a methodology for analyzing and understanding various types of systems, has been applied in research for several decades. We undertook a review to identify the latest application domains and map the realm of system dynamics. The systematic review was conducted according to the PRISMA methodology. We analyzed and categorized 212 articles and found that the vast majority of studies belong to the fields of business administration, health, and environmental research. Altogether, 20 groups of modeling and simulation topics can be recognized. System dynamics is occasionally supported by other modeling methodologies such as the agent-based modeling approach. There are issues related to published studies mostly associated with testing of validity and reasonability of models, leading to the development of predictions that are not grounded in verified models. This study contributes to the development of system dynamics as a methodology that can offer new ideas, highlight limitations, or provide analogies for further research in various research disciplines.

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Section: Project Managementmentioning

confidence: 99%

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

Zanker

Bureš

Tučník

2021

Systems

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“…The simulation model was created based on the generation model [43]. The five influencing factors, such as in-situ production quantity, lead-time, number of molds, and number of cranes, can derive a range value according to the site conditions.…”

Section: Simulation Modelmentioning

confidence: 99%

Dynamic Optimization Model for Estimating In-Situ Production Quantity of PC Members to Minimize Environmental Loads

Lim

Kim

2020

Sustainability

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CO2 emissions account for 80% of greenhouse gases, which lead to the largest contributions to climate change. As the problem of CO2 emission becomes more and more prominent, research on sustainable technologies to reduce CO2 emission among environmental loads is continuously being conducted. In-situ production of precast concrete members has advantages over in-plant production in reducing costs, securing equal or enhanced quality under equal conditions, and reducing CO2 emission. When applying in-situ production to real projects, it is vital to calculate the optimal quantity. This paper presents a dynamic optimization model for estimating in-situ production quantity of precast concrete members subjected to environmental loads. After defining various factors and deriving the objective function, an optimization model is developed using system dynamics. As a result of optimizing the quantity by applying it to the case project, it was confirmed that the optimal case can save 7557 t-CO2 in CO2 emissions and 6,966,000 USD in cost, which resulted in 14.58% and 10.53% for environmental loads and cost, respectively. The model developed here can be used to calculate the quantity of in-situ production quickly and easily in consideration of dynamically changing field conditions.

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“…It is pointed out that the association between monetary policy and systemic risk is insignificant in the short run and shows high association in the long run, and it is proposed that too loose monetary policy promotes the accumulation of systemic risk. The development of a dynamic simulation model for analyzing the economic feasibility of a condominium development project is discussed in Literature [23].…”

Section: Introductionmentioning

confidence: 99%

Optimization of economic management mode and risk control based on the background of big data

Chen

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, the enterprise data is processed without outline, PCA is used for data dimensionality reduction SVM is used to categorize the dimensionality reduction data, and the prediction of future trends is made based on the categorization situation. The PCA-SVM risk control model based on big data is established, and the PSO particle swarm algorithm is used to find the optimal parameters for SVM to improve its classification performance and optimize the prediction of enterprise management risks. In order to test the effect of risk management and control optimization, data processing is carried out for two types of companies, namely, banking and real estate industries, and predictions are made for their future operation based on the processing results. During the period from 2022Q1 to 2022Q2, the CSI banking index falls from 0.11 to −0.59; the output of this paper’s model is 1, i.e., there is a risk, and it is predicted that the values of Q1 and Q2 in 2024 are 1, and a financial risk may occur. The PCA-SVM model has a 95% determination rate for training samples, and it can predict low-risk sample companies accurately with a comprehensive error rate of only 6.67%. The data proves that the model can effectively predict the future risk status of enterprises according to the existing information and provide optimization reference for enterprises to change their economic management mode.

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A Dynamic Simulation Model for Economic Feasibility of Apartment Development Projects

Cited by 6 publications

References 26 publications

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

Dynamic Optimization Model for Estimating In-Situ Production Quantity of PC Members to Minimize Environmental Loads

Optimization of economic management mode and risk control based on the background of big data

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