Document Type : Original Article
Authors
1
1- PhD candidate, Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran
2
Assistant Professor, Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran
3
Associate Professor,,ِ Department of Industrial Engineering, Arak Branch, Islamic Azad University, Arak, Iran
10.22065/jsce.2023.402755.3147
Abstract
One of the development infrastructures of every country is green projects, which have taken an important step in preserving the environment. The green construction project in Iran, like other countries of the world, is considered as one of the main infrastructures of development, and a huge part of the country's capital is allocated to construction projects as a symbol of economic growth and development. In this regard, when we want to step towards green building projects along with other countries to preserve the environment, many things should be considered. One of the most important things is choosing a contractor. The selection of the contractor usually includes two parts: pre-qualification and holding a tender. In the pre-qualification section of the contractor, a series of key criteria are considered in order to check the contractor's ability to implement the project, and the complex relationships between different key criteria should be specified so that the contractor can make the best choice based on the relationships. Therefore, in order to analyze the relationship between the key pre-qualification criteria for selecting a green construction contractor, Interpretive Structural Modeling (ISM) has been used in this research. The current research is a descriptive survey in terms of practical purpose and data collection. For this purpose, first the key criteria were identified based on the review of the research literature, the opinion of experts, and then, using ISM, the relationships between the key criteria were explained and presented in the form of an integrated model. Finally, by using MICMAC analysis, the types of variables were determined according to their influence and effectiveness on other variables. Finally, the results of the research show that the key criteria have high dependence and high guiding power, and any small change on these variables causes fundamental changes in the system.
Keywords
Main Subjects
)