ArticleScientific reports2025
Innovative BWM-TOPSIS-based approach to determine the optimum delivery method for offshore projects.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
- A hybrid machine learning-enhanced MCDM model for transport safety engineering.Scientific reports · 2025Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Offshore projects hold significant importance in the construction industry by fostering innovation, enabling large-scale infrastructure development, and supporting the expansion of renewable energy sources, enhancing global energy security and economic stability. Effective risk management is crucial in offshore projects to ensure operational safety, sustainability, and financial viability by identifying, assessing, and mitigating potential hazards. Selecting an appropriate project delivery method (PDM) is pivotal for efficient risk management, as it facilitates the proper allocation and mitigation of risks throughout the construction process. This study aims to investigate the impact of PDM on the risk assessment of the lifecycle of offshore platform projects and to identify and evaluate risks associated with offshore projects to improve understanding and optimize performance outcomes. In order To achieve the study's objective, the Best Worst Method (BWM) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are utilized for a lifecycle-focused risk assessment to identify the optimum PDM for offshore projects. A BWM-TOPSIS system is developed specifically for offshore projects, starting with organizing risks identified from the literature into a Risk Breakdown Structure (RBS) and subsequent evaluation using the Delphi technique for comprehensive and reliable risk analysis. The findings indicate that Integrated Project Delivery (IPD) and Construction Manager at Risk (CMAR) are the most effective methods due to their higher levels of integration, collaboration, and proactive risk management.
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