Journal of Industrial Engineering and Management Studies

Earned Resource Management” A new model for estimate project duration in construction projects"

Document Type : Original Article

Authors

Babak Soltani Largani 1
MohammadMahdi Nasiri 2
Fariborz jolai 2

1 Kish International Campus, University of Tehran, Tehran, Iran

2 School of Industrial and Systems Engineering, College of Engineering, University of Tehran, Tehran, Iran

https://doi.org/10.22116/jiems.2024.464469.1565
Abstract
During the past decades, various models were presented to estimate project duration but, we usually face with this problem that why the estimated values for finish time of the activities and the project don’t match with the actual values and there is always a huge gap between the estimated finish time of the project and the actual finish time of the project. The oldest method that has been widely used in the past decades is the Earned Value Management (EVM) methodology, which estimates the completion time of the project based on cost indicators. During the past years, researchers have developed new models such as Earned Duration Management (EDM), Earned Schedule Management (ESM) that each of them has tried to reduce the prediction error by focusing on the indicators presented in their proposed models. In this research, the Earned Resource Management (ERM) model has been developed, which present indicators for measuring the performance of activities based on the resources provided for the implementation of project activities, as well as the progress of project activities using these resources. It is a more suitable basis for evaluating how activities are implemented and also estimating their finish time. The proposed model is implemented on a construction project and the results show that the Mean absolute percentage error (MAPE) is about 3.12%, at the end of the project which is lower than other presented methods.

Keywords

Project Management
Estimate project Duration
Construction Project

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Journal of Industrial Engineering and Management Studies
Volume 11, Issue 2
December 2024
Pages 27-35

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