An FCM-based dynamic modeling of operability and maintainability barriers in road projects

Ghaleenoei, NK; Saghatforoush, E; Mansouri, T; Zareravasan, A

Abstract

Building a new road infrastructure in the country leads to economic and industrial growth. A massive amount of money is paid by governments to build them; however, they fail due to many reasons related to operability and maintainability (O&M) issues. They are not also completed within the expected budget, time, and quality; so they are not justifiable. As these factors have a strong impact on projects, to reduce the final cost and other mentioned problems, it is necessary to identify the existing O&M barriers, their interrelationships, and their effects on the three mentioned factors. An in-depth literature review is conducted to identify the barriers. The fuzzy cognitive mapping (FCM) technique is used to model O&M barriers using real case data analyses. The findings reveal that managerial factors have more significanct impacts on the project’s success compared to other factors such as organizational, human resource, technology, and project management. Therefore, management methods are very important in developing integration in the project. Identifying, classifying, and determining the effects of barriers to entry of O&M contractors on the cost, time, and quality of road infrastructure projects show the signifcance of conducting this research, which is necessary to deal with the existing barriers. All these ultimately increase quality and reduce time and cost in road infrastructure projects.

Citation

Ghaleenoei, N., Saghatforoush, E., Mansouri, T., & Zareravasan, A. (2021). An FCM-based dynamic modeling of operability and maintainability barriers in road projects. International Journal of Pavement Research and Technology, https://doi.org/10.1007/s42947-021-00027-z

• Journal Article Type: Article
• Acceptance Date: Mar 10, 2021
• Online Publication Date: May 31, 2021
• Publication Date: May 31, 2021
• Deposit Date: Jun 22, 2021
• Publicly Available Date: May 31, 2022
• Journal: International Journal of Pavement Research and Technology
• Print ISSN: 1996-6814
• Electronic ISSN: 1997-1400
• Publisher: Springer
• DOI: https://doi.org/10.1007/s42947-021-00027-z
• Publisher URL: https://doi.org/10.1007/s42947-021-00027-z
• Related Public URLs: https://www.springer.com/journal/42947
• Additional Information: Access Information : This is a post-peer-review, pre-copyedit version of an article published in International Journal of Pavement Research and Technology. The final authenticated version is available online at: http://dx.doi.org/10.1007/s42947-021-00027-z