A system dynamics simulation model to evaluate project planning policies

Shafieezadeh, Mahdi; Hormozi, Mehdi Kalantar; Hassannayebi, Erfan; Ahmadi, Loza; Soleymani, Marjan; Gholizad, Arezou

doi:10.1080/02286203.2019.1596779

Cited by 14 publications

(3 citation statements)

References 26 publications

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“…They categorized the causes of time overruns and provided a mathematical model for predicting the time overrun percentage, using highway projects in Northern India as a case study [54]. Additionally, Shafieezadeh et al (2020) proposed a system dynamics model to show how dynamic changes can affect project's KPIs during its lifecycle [55].…”

Section: Performance Assessment Modelsmentioning

confidence: 99%

Performance Prediction of Construction Projects Based on the Causes of Claims: A System Dynamics Approach

et al. 2022

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Conflict in human relations is unavoidable; therefore, it can occur in construction projects that are full of many human relationships. These conflicts can lead to claims if interlocutors do not agree. The main result of the claims is the delay and overrun of costs in construction projects. Additionally, poor management of claims affects the success of construction projects and their budget and schedule. Moreover, controlling claims ensures the successful completion of construction projects and minimizes delays and disputes. This study sought to improve the project performance by ranking the causes of claims and examining their impacts on Key Performance Indicators (KPI) using the combined AHP-TOPSIS (Analytic Hierarchy Process-Technique for Order of Preference by Similarity to Ideal Solution) method. Given that construction projects are constantly evolving and becoming more complex and have many linear and nonlinear relationships and structures, these projects can be considered as a kind of system dynamics. The system dynamics have been used for nearly four decades to analyze and improve the performance of construction projects. This study attempted to provide a model with a system dynamics approach to predict the performance of construction projects based on the reasons for the claim. In this model, the most important performance indicators, interactions between them, and the relationship of these indicators with the reasons for claiming were simulated. The results showed that delays are the most important reasons for making claims, and they have a great impact on the KPIs such as scheduling, sustainability, customer satisfaction, quality, and team satisfaction, respectively. In the modeling and simulation discussion in this study, the proposed model simulated the dependencies between the KPIs of construction projects and their changes over time and provides a better understanding of how performance indicators interact with each other. Additionally, it can be used as a basis for simulating different management policies to find the best solution to prevent and correct the negative effects of poor performance.

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Section: Performance Assessment Modelsmentioning

confidence: 99%

Performance Prediction of Construction Projects Based on the Causes of Claims: A System Dynamics Approach

et al. 2022

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“…Mortazavi et al [28] applied the SD modeling approach to evaluate and prioritize risks in construction projects. Shafieezadeh et al [29] developed an SD model to capture the hierarchical and dynamic complexities of the project.…”

Section: Application Of Sd In Project Managementmentioning

confidence: 99%

Application of system dynamics in project portfolio management

Zarghami

Dumrak

2020

Int J Ind Eng Manag

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“…Within the conditions of projects hierarchical and dynamic complexities the innovation analytics tasks are significantly expanded. In the research the decision model is regarded as predictive tool with the purpose of explaining the projects dynamic behavior [10]. E.g.…”

Section: Introductionmentioning

confidence: 99%

Multiplicative Dynamic Model of Technological Progress Factor Impact on Economy Sectors Innovation Development

Prokopenko¹,

Biloshkurska²,

Biloshkurskyi³

et al. 2019

Proceedings of the 2019 7th International Conference on Modeling, Development and Strategic Management of Economic System (MDSM

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The research addresses the issues of development the active mechanisms to manage the national economy sectors innovation development taking into account their pace of technological progress and resource potential proportionality. The study is based on the idea about relative importance of different sectors of the economy in innovation terms in the process of overall economic development. The main issues and cases of different economic models of emergence and diffusion of innovations and analytical support of innovation and technological changes management through the development of integrated development strategies were considered. As key component of improved multiplicative dynamic model of J. Tinbergen production function the parameter of technological progress, which reflects the level of innovation development of the national economy, was considered. Based on research results Tinbergen's production function equation for the Ukrainian industry was obtained. The equation obtained is reliable and statistically significant, as it is described by high statistical estimates.

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A system dynamics simulation model to evaluate project planning policies

Cited by 14 publications

References 26 publications

Performance Prediction of Construction Projects Based on the Causes of Claims: A System Dynamics Approach

Performance Prediction of Construction Projects Based on the Causes of Claims: A System Dynamics Approach

Application of system dynamics in project portfolio management

Multiplicative Dynamic Model of Technological Progress Factor Impact on Economy Sectors Innovation Development

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