Decision Support System for Analyzing Key Performance Indicators in Construction Projects Management

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Many factors play a role in the life cycle of construction industry projects, focusing on human resources and relationships as the main axis of business development. Thus, the conflict of interests between the stakeholders in the construction industry projects is a clear and challenging problem. The increased number of stakeholders in the project complicates human relationships and, consequently, increases the possible conflicts. The conflicts may result in claims if not resolved. The success of construction projects and their cost and time management can be affected by the poor management of claims. Therefore, this research aims to take a significant step to improve the efficiency of projects by identifying and ranking the causes of claims and analyzing their effects on key efficiency indicators. Firstly, causes of claim are collected according to experts’ opinions and literature and classified based on key efficiency indicators using the integrated analytic hierarchy process-technique for order preference by similarity to ideal solution (AHP-TOPSIS) technique. According to findings, delays with a proximity coefficient of 0.728 are the most significant factors in making claims with a great effect on the key efficiency indicators of the construction project. The changes in most construction projects are ranked in second place, followed by acceleration command, extra work, changing workshop conditions, and contractual ambiguities. The present study results may reduce the challenges in managing the construction industry claims and ensure the successful completion of projects.
Language:
English
Published:
International Journal of Engineering, Volume:35 Issue: 5, May 2022
Pages:
865 to 874
https://www.magiran.com/p2400740  
سامانه نویسندگان
  • Ramin Ansari
    Corresponding Author (1)
    Assistant Professor Civil Engineering, Imam Khomeini International University, Qazvin, Iran
    Ansari، Ramin
  • Sayyid Ali Banihashemi
    Author (2)
    Assistant Professor Industrial Engineering, Payame Noor University, Tehran, Iran
    Banihashemi، Sayyid Ali
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