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Quantitative Impact of Delay Propagation in Interdependent Activities of Building Projects: A System Dynamics Approach
Subject area: Science,Engineering and Technology · Area of research: Impact of Delay Propagation
Abstract
Complex projects operate in interdependent environments that create lengthy delays which spread throughout complete schedules. This research studies how delays in construction projects spread through project activities while highlighting how temporal task dependencies interact with increasing disruptions. The research employs System Dynamics (SD) modeling to represent delay propagation patterns through mathematical models and models nonlinear project behaviors with uncertainties. The historical development of delay analysis gets reviewed in depth through literature and researchers show why System Dynamics provides more value than existing theoretical approaches like CPM and DSM. The study evaluates the technical difficulties which exist when depicting interdependencies and handling uncertainties in addition to synchronizing SD with traditional project management platforms including MS Project and Primavera. Real-time monitoring integration with scenario simulation lets SD models actively work to prevent project delays. The study ends by suggesting what to do in future research which combines hybrid modeling techniques with artificial intelligence systems for project delay forecasting. The research outcomes serve as base knowledge for advancing time management approaches and choice-making procedures in construction projects.
Keywords
Delay propagation, System Dynamics, construction project management, interdependent activities, schedule delay, scenario analysis, uncertainty, hybrid modeling, real-time monitoring, AI integration.
How to cite this paper
@article{1703538,
author = {Pratik Bhikhubhai Panchal},
title = {Quantitative Impact of Delay Propagation in Interdependent Activities of Building Projects: A System Dynamics Approach},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {12},
pages = {436-451},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703538.pdf},
abstract = {Complex projects operate in interdependent environments that create lengthy delays which spread throughout complete schedules. This research studies how delays in construction projects spread through project activities while highlighting how temporal task dependencies interact with increasing disruptions. The research employs System Dynamics (SD) modeling to represent delay propagation patterns through mathematical models and models nonlinear project behaviors with uncertainties. The historical development of delay analysis gets reviewed in depth through literature and researchers show why System Dynamics provides more value than existing theoretical approaches like CPM and DSM. The study evaluates the technical difficulties which exist when depicting interdependencies and handling uncertainties in addition to synchronizing SD with traditional project management platforms including MS Project and Primavera. Real-time monitoring integration with scenario simulation lets SD models actively work to prevent project delays. The study ends by suggesting what to do in future research which combines hybrid modeling techniques with artificial intelligence systems for project delay forecasting. The research outcomes serve as base knowledge for advancing time management approaches and choice-making procedures in construction projects.},
keywords = {Delay propagation, System Dynamics, construction project management, interdependent activities, schedule delay, scenario analysis, uncertainty, hybrid modeling, real-time monitoring, AI integration.},
month = {June},
}