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Original Research

OPTIMIZING THE TIME-COST-QUALITY TRADE-OFF PROBLEM BY CONSIDERING RISK AND EFFICIENCY FROM THE POINT OF VIEW OF THE WEED OPTIMIZATION ALGORITHM

REZA SHADAB 1, MOHAMMADREZA SHAHRIARI 2, GHANBAR ABBASPOUR ESFEDEN 3, and FARHAD HOSSEINZADEH LOTFI 4.

Vol 17, No 12 ( 2022 )   |  DOI: 10.5281/zenodo.7501113   |   Author Affiliation: Department of industrial management, South Tehran Branch, Islamic Azad University, Tehran, Iran 1; Faculty of industrial management, South Tehran Branch, Islamic Azad University, Tehran, Iran 2,3; Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran 4.   |   Licensing: CC 4.0   |   Pg no: 2126-2139   |   To cite: REZA SHADAB, et al., (2022). OPTIMIZING THE TIME-COST-QUALITY TRADE-OFF PROBLEM BY CONSIDERING RISK AND EFFICIENCY FROM THE POINT OF VIEW OF THE WEED OPTIMIZATION ALGORITHM. 17(12), 2126–2139. https://doi.org/10.5281/zenodo.7501113   |   Published on: 23-12-2022

Abstract

In previous years, extensive scientific research has been done in the field of time-cost and time-cost-quality balance. Most of them have been to optimize the problem and add other parameters such as quality, delay, etc. In total, all these efforts have tried to bring the most realistic conditions of the project into the problem. One of the essential things that should be considered in any project is the efficiency of each activity. If each of the project activities is implemented in the most efficient way possible, it can be claimed that the project is in an optimal state in terms of performance. In this research, the optimization of the time-cost-quality-risk problem has been done by using the data envelopment analysis method and the weeding algorithm. Then, the proposed approach was evaluated to determine the most efficient implementation method of each of the activities in a case study (construction project). This research approach can help project managers identify the most efficient way of implementing project activities.


Keywords

efficiency, desirable output, undesirable output, data coverage analysis