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Title Integrating business impact analysis and risk assessment for physical asset criticality analysis: A framework for sustainable operations in process industries
ID_Doc 71556
Authors Aghabegloo, M; Rezaie, K; Torabi, SA; Yazdani, M
Title Integrating business impact analysis and risk assessment for physical asset criticality analysis: A framework for sustainable operations in process industries
Year 2024
Published
DOI 10.1016/j.eswa.2023.122737
Abstract The paper tackles the issue of managing physical assets in asset-intensive industries, where continuity plans are crucial for business operations during disruptions. However, resource constraints often hinder companies from implementing these plans for all their assets. Moreover, efforts to maximize resource utilization efficiency and minimize environmental impacts are limited to isolated disciplines, necessitating an integrated approach across natural, social, and technological systems. To address these challenges, this study proposes a framework based on a hybrid fuzzy BWM-TOPSIS methodology for identifying critical physical assets. The framework incorporates Business Impact Analysis (BIA) to determine essential products, a physical asset risk assessment matrix (PARAM) to assess critical assets based on likelihood and impact, and a mathematical model to estimate asset continuity parameters. The framework is applied to a petrochemical company in a case study, offering a guide for estimating the probability and impact of physical asset failure while accounting for inherent uncertainties. By adopting this framework, companies can efficiently manage their physical assets, prioritize continuity plans, and address resource constraints and uncertainties. This research contributes to practical tools and approaches that assist industries in sustaining operations and ensuring business continuity during disruptions.
Author Keywords Fuzzy sets theory; Criticality analysis; Physical asset management; Business impact analysis (BIA); TOPSIS; Business continuity management
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001131712000001
WoS Category Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science
Research Area Computer Science; Engineering; Operations Research & Management Science
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