Risk identification and quantitative assessment method of offshore platform equipment

Ni, Shentong; Tang, Yula; Wang, Guorong; Liu, Yang; Liu, Bo; Zhang, Zhidong

doi:10.1016/j.egyr.2022.05.159

Cited by 13 publications

(5 citation statements)

References 37 publications

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“…Further, the evaluation result of port sustainability is an important reference by which to finish the corresponding task in short term decision-making, and an essential foundation to establish advanced facilities in long term decision-making because new investments are needed, and more technologies will be developed in the future. For sustainability, the technologies of offshore platforms [53][54][55] and offshore wind power [56][57][58][59] will possibly be useful to support the ongoing development in ports. These above technologies, respectively, involve floating structures and green energies for sustainability.…”

Section: Discussionmentioning

confidence: 99%

Extending Quality Function Deployment and Analytic Hierarchy Process under Interval-Valued Fuzzy Environment for Evaluating Port Sustainability

Wang

2023

Sustainability

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To confront the related problems of environmental protection, energy saving, and carbon reduction, sustainability has been a prominent issue for enterprises seeking to meet the requirements of the Earth Summit’ sustainable development goals (SDGs). Basically, sustainability evaluation of enterprises must be considered from environmental, social, and economic perspectives, recognized as quality requirements. Numerous enterprises, especially for international ports, must pay attention to these requirements in expressing their corporate social responsibility (CSR) for decreasing marine pollution. Practically, the three requirements may be dependent under uncertain environments, and rationally evaluated by fuzzy multi-criteria decision-making (FMCDM) with dependent evaluation criteria (DEC). In other words, evaluating port sustainability, containing location expanding, should belong to FMCDM with DEC. For DEC under uncertain environments, fuzzy extension of the analytic network process (ANP) is a feasible solution to solve the above problems. However, fuzzy computations of ANP are heavily complicated; thus, we desire to combine quality function deployment (QFD) with the analytic hierarchy process (AHP) under the interval-valued fuzzy environment (IVFE) into a hybrid method for evaluating port sustainability. In numerous multi-criteria decision-making (MCDM) efforts, AHP was often extended into FMCDM to encompass the imprecision and vagueness of data, but the extension was properly used for FMCDM with independent evaluation criteria (IDEC). Herein, QFD is utilized to express the dependent relationships between criteria, and thus transforms IDEC into DEC for the evaluation of port sustainability. Through the hybrid method, QFD is combined with AHP to replace ANP under IVFE, the complicated ties of ANP-corresponding interval-valued fuzzy numbers (IVFNs) are overcome, and the problem of evaluating port sustainability is rationally solved.

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Section: Discussionmentioning

confidence: 99%

Extending Quality Function Deployment and Analytic Hierarchy Process under Interval-Valued Fuzzy Environment for Evaluating Port Sustainability

Wang

2023

Sustainability

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Section: Integration Of Quantitative and Qualitative Analysismentioning

confidence: 99%

“…The methodology integrates quantitative and qualitative analyses to provide a wellrounded risk assessment. Quantitative analysis, driven by the FMECA approach, uses numerical data to calculate the RPNs, facilitating the objective prioritization of risks [52]. Qualitative analysis complements this by incorporating expert judgments, stakeholder perspectives, and scenario analysis [53].…”

Section: Integration Of Quantitative and Qualitative Analysismentioning

confidence: 99%

Retrofitting Technologies for Eco-Friendly Ship Structures: A Risk Analysis Perspective

Kolios

2024

JMSE

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This paper presents a detailed risk assessment framework tailored for retrofitting ship structures towards eco-friendliness. Addressing a critical gap in current research, it proposes a comprehensive strategy integrating technical, environmental, economic, and regulatory considerations. The framework, grounded in the Failure Mode, Effects, and Criticality Analysis (FMECA) approach, adeptly combines quantitative and qualitative methodologies to assess the feasibility and impact of retrofitting technologies. A case study on ferry electrification, highlighting options like fully electric and hybrid propulsion systems, illustrates the application of this framework. Fully Electric Systems pose challenges such as ensuring ample battery capacity and establishing the requisite charging infrastructure, despite offering significant emission reductions. Hybrid systems present a flexible alternative, balancing electric operation with conventional fuel to reduce emissions without compromising range. This study emphasizes a holistic risk mitigation strategy, aligning advanced technological applications with environmental and economic viability within a strict regulatory context. It advocates for specific risk control measures that refine retrofitting practices, guiding the maritime industry towards a more sustainable future within an evolving technological and regulatory landscape.

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“…A fundamental aspect of decision making for evaluating new oil and gas field development projects is to determine a set of indicators that can effectively capture various project characteristics. Currently, scholars have adopted methods such as principal component analysis, comparative analysis, fuzzy logic, and grey system theory to evaluate indicators in aspects such as oil and gas reservoir quality [1], economic value [2], and risk [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Asset Evaluation Method for Oil and Gas Projects

et al. 2023

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The rapid and accurate evaluation of oil and gas assets, specifically for new development projects, poses a significant challenge due to the various project types, limited data availability, brief periods for assessment and decision making, and constraints arising from varying contractual and taxation conditions, political stability, and societal factors. This study leverages the grading standards of the evaluation index system for new oil and gas field development projects, along with relevant mathematical theories and methods for project evaluation and optimization. We developed an asset evaluation approach for new oil and gas projects by analyzing the assets of six new oil and gas field development projects in Brazil. This analysis resulted in the grading and ranking of new projects, and we tested and demonstrated four asset optimization techniques. After a comparative analysis with conventional evaluation results, we established an oil and gas project asset optimization approach centered on the cloud model comprehensive evaluation and linear weighted ranking, exhibiting Kendall’s tau coefficient of 0.8667 with conventional methods. The findings suggest that the combination of the cloud model comprehensive evaluation method with the linear weighted ranking method can facilitate asset optimization for oil and gas field development projects, meeting the practical needs for fast selection among various new projects. Furthermore, this research offers a technical and theoretical foundation for rapid evaluation and decision making regarding new assets.

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Risk identification and quantitative assessment method of offshore platform equipment

Cited by 13 publications

References 37 publications

Extending Quality Function Deployment and Analytic Hierarchy Process under Interval-Valued Fuzzy Environment for Evaluating Port Sustainability

Extending Quality Function Deployment and Analytic Hierarchy Process under Interval-Valued Fuzzy Environment for Evaluating Port Sustainability

Retrofitting Technologies for Eco-Friendly Ship Structures: A Risk Analysis Perspective

A Comprehensive Asset Evaluation Method for Oil and Gas Projects

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