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Development of an Approximate Construction Time Prediction Models During the Project Planning Phase. A Case Study of Selected Private Mixed Use and Public Office Building Projects in Addis Ababa. MSc Thesis by Miliyon Fikre,2021 IV
1 sty 2022 · This work aims at developing a linear model to increase the accuracy of the standard EAC and minimize the variance of the error. The research is conducted on an EVM data set comprising 29 real-life projects for a total of 805 observations.
1 lut 2019 · Cost prediction is the process of forecasting the cost of construction projects at an early stage. An effective estimation technique is necessary to reduce the effort, time, and cost.
1 sty 2010 · The study identifies six most significant factors to project cost among the design related variables as: Level of design complexity; level of construction complexity; level of technological...
The research aims to (i) to identify the factors that contribute to project cost (ii) to examine the importance of the identified factors based on the significance of their contribution (iii) to develop a predictive project cost model from the selected components using principal components technique.
15 wrz 2020 · Construction cost predictions to reduce time risk assessment are indispensable steps for process of decision-making of managers. Machine learning techniques need adequate dataset size to model and forecast the cost of projects.
A research proposal should provide a context for your work and clearly signal how you intend achieving your research objectives. It should also indicate why you believe
