Mohsen Aghabegloo

Dr. Mohsen Aghabegloo

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Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 November 2023 in Expert Systems with Applications
Verified
Journal Article
Closed access
MAMohsen Aghabegloo
Mohsen Aghabegloo
KRKamran Rezaie
Kamran Rezaie
STSeyed Ali Torabi
Seyed Ali Torabi
MYMaziar Yazdani
Maziar Yazdani

16 January 2023 in Buildings
Verified
Journal Article
Open access
PDF file
MAMohsen Aghabegloo
Mohsen Aghabegloo
KRKamran Rezaie
Kamran Rezaie
STseyed ali Torabi
seyed ali Torabi
SKSeyed Mohammad kalili
Seyed Mohammad kalili
Asset-intensive industries, such as the construction industry, have experienced major catastrophes that have led to significant operational disruptions. Physical asset failure has been the primary cause of these disruptions. Therefore, implementing proper asset management plans, including continuity plans, is crucial for the business continuity of companies active in these industries. However, companies often face severe resource limitations when implementing these plans for all of their physical assets. Therefore, those critical physical assets that are vital for providing their key products should be identified. Moreover, sustainability and resilience are inseparable parts of organizations’ strategies, including strategic asset management plans. Therefore, any proposed ranking methodology for physical asset prioritization should encompass sustainability and resilience measures to ensure its practicality. This paper proposes a novel framework for physical asset criticality analysis based on the so-called business impact analysis to ensure the continuity of providing products/services through the continuity of physical assets. A hybrid fuzzy BWM-TOPSIS method is first applied to identify the key products. Then, a hybrid fuzzy DEMATEL-Bayesian network is applied based on proper sustainability and resilience factors to determine the critical physical assets, while interdependencies among these factors are well captured. The normalized expected asset criticality index is defined to guide managers in taking appropriate directions while developing asset management plans. A case study of a gas company is provided to show the applicability of the proposed decision model. The data needed for each step of the framework is gathered through experts’ judgments, historical data available on the sites, or quantitative risk assessment scenarios.

2 March 2023
Verified
Book Chapter
Closed access
PDF file
MAMohsen Aghabegloo
Mohsen Aghabegloo
KRKamran Rezaie
Kamran Rezaie
STseyed ali Torabi
seyed ali Torabi