Utilization of TOPSIS to Optimal Project Management for Maragheh City's Construction Projects
محورهای موضوعی : Engineering geologyMorteza Zohremotadel 1 , Seyed Hadi Eslamian 2 , Shiva Velayati 3
1 - Department of Civil Engineering, Faculty of Engineering, University College of Nabi Akram (UCNA), Tabriz, Iran
2 - Department of Civil Engineering, Faculty of Engineering, University College of Nabi Akram (UCNA), Tabriz, Iran
3 - Department of Civil Engineering, Faculty of Engineering, University College of Nabi Akram (UCNA), Tabriz, Iran
کلید واژه: Construction Projects, TOPSIS, Multi-Criteria Decision Making, Maragheh city, Decision-based approaches,
چکیده مقاله :
In this study, by considering 10 large-scale construction projects in the Maragheh city, the effective factors in the design and implementation of these projects have been identified and the relationship between them and the optimal management is provided. For this purpose, multi-criteria decision making approach (MCDM) and TOPSIS model have been used. To evaluate the multivariates, the TOPSIS model was used, which can reduce the computational error to a minimum. Based on the results, 8 main effective criteria in construction projects in Maragheh have been identified, which have been considered interactively with 7 project management methods and have been evaluated by TOPSIS. Based on the results of evaluation by TOPSIS in terms of the indicators, the highest rank is related to the Imam-Hossein apartment Complex project. Al-Ghadir alley project is in the second place in this evaluation, which includes project management parameters. By prioritizing the implementation, it can be found that the development attitude in the city; It is the most important priority for the municipality and the employer. The methods of construction, operation, transfer, design and combined design and construction have placed into the first rank. This prioritization by these three methods does not mean that project management approaches are no longer present in these implementations, but rather that the impact factor of these methods is higher than other methods.
