An integrated of fuzzy-WASPAS and E-FMEA methods for environmental risk assessment: a case study of petrochemical industry, Iran

Ebadzadeh, Farkhondeh; Monavari, Seyed Masoud; Jozi, Seyed Ali; Robati, Maryam; Rahimi, Razieh

doi:10.1007/s11356-022-25088-w

Cited by 10 publications

(3 citation statements)

References 22 publications

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“…The study uses the Failure Mode Effect and Analysis (FMEA) method to identify risks and take preventive measures in advance. Ebadzadeh et al (2023) conducted a study to evaluate the environmental risks caused by the ammonia and urea production process. Process hazard analysis (PHA) was used to screen the risks identified in the follow-up phase.…”

Section: Risk Management Strategies and Toolsmentioning

confidence: 99%

Risk Assessment in the Implementation of Advanced Work Packaging (AWP) in the Oil and Gas Industry

Rocha,

Pereira

2023

Proceeding of the 33rd European Safety and Reliability Conference

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This study proposes a risk assessment in the implementation of AWP (Advanced Work Packaging) as a method of monitoring capital projects of industrial assets by oil and gas operators in a scenario where industrial construction companies execute these projects. Traditional methodologies for managing and monitoring these projects have already brought many advances. However, gaps still translate into delays in time and costs, which, when monetized, represent considerable losses. The AWP is considered a good practice by the CII (Construction Industry Institute) and offers methods for monitoring and executing capital projects focused on the construction, commissioning, and delivery of complex industrial assets, and was born from the union of studies focused on hand productivity construction work in heavy industry industrial projects associated with structured and multidisciplinary planning and management. AWP advocates starting the project with the end in mind, allowing a holistic view of the components that integrate and materialize the project. The lack of risk assessment in the AWP implementation may lead to project failure. As a methodological approach, the authors conducted a field survey with SMEs (Subject Matter Experts) working in different segments. This made it possible to focus the risk study, which used the PFMEA (Process Failure Mode and Effects Analysis), on those with the most significant impact in the context of the study, in addition to identifying additional risks to those already reported in the literature. This contribution is essential since ensuring the successful implementation of the AWP will allow oil and gas operators to monitor and technically supervise the execution of their projects through a standard interface for dialogue between interested parties, focusing efforts on managing work packages, each one focused on a key aspect for the execution of a project stage that, when executed in an integrated manner, guarantees success in the construction of the asset. Although conducted in a specific oil and gas operator, the study can be generalized to other companies affected by risk issues. Despite identifying new risks in the implementation of the AWP, the FMEA matrix of this study limited the analysis to only those described in the literature and indicated by SMEs. Future studies may address these new risks and apply other techniques, such as multicriteria analysis, AHP (Analytic Hierarchy Process) is a good example. The study can change the practice and thoughts of professionals dealing with project risk assessment in AWP implementation.

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Section: Risk Management Strategies and Toolsmentioning

confidence: 99%

Risk Assessment in the Implementation of Advanced Work Packaging (AWP) in the Oil and Gas Industry

Rocha,

Pereira

2023

Proceeding of the 33rd European Safety and Reliability Conference

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“…Chakraborty and Saha [49] combined the WASPAS approach with fuzzy analytic hierarchy process (AHP) for assessing the healthcare waste technology selection problem. Utilizing the uncertainty concepts, Ebadzadeh et al [50] proposed a fuzzy WASPAS approach for assessing the environmental risks of the petrochemical industry. In the context of PiFSs, Simic et al [51] and Senapati and Chen [52] introduced the hybrid picture fuzzy WASPAS approaches with applications in last-mile delivery mode assessment and an air-conditioning system selection, respectively.…”

Section: Introductionmentioning

confidence: 99%

Biofuel Production Plant Location Selection Using Integrated Picture Fuzzy Weighted Aggregated Sum Product Assessment Framework

Hezam

Cavallaro

Lakshmi³

et al. 2023

Sustainability

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As an alternative for sustainable transportation and economic development, biofuels are being promoted as renewable and climate-friendly resources of energy which can help to reduce the consumption of fossil fuels, some pollutant emissions and mitigate the climate change impact from transport. With the successful development of the biofuel industry, the location selection for biofuel production plant is one of the major concerns for the governments and policymakers. Finding locations for the construction of new biofuel production plants includes several dimensions of sustainability, including economic, social and environmental; therefore, this selection process can be considered a complex multi-criteria decision-making problem with uncertainty. As an advanced version of fuzzy set, picture fuzzy set (PiFS) is one of the comprehensive tools to handle the uncertainty with the account of truth, abstinence and falsity membership degrees. Thus, this work proposes a new decision-making methodology based on the weighted aggregated sum product assessment (WASPAS) approach and similarity measure with picture fuzzy information. By using picture fuzzy numbers, the proposed methodology can effectively address the uncertain information and qualitative data that often occurs in practical applications. In this methodology, a picture fuzzy similarity measure-based weighting model is proposed to find the criteria weights under picture fuzzy environment. For this purpose, a new similarity measure is introduced to measure the degree of similarity between picture fuzzy numbers. Moreover, the rank of the options is determined based on an integrated WASPAS approach under a PiFS context. To illustrate the effectiveness of the proposed framework, a case study of biofuel production plant location selection is presented from the picture fuzzy perspective. Further, a comparison with existing methods is conducted to test the validity and applicability of the obtained results. The sensitivity analysis is performed with respect to different values of decision parameter, which proves the stability, robustness, and practicality of the proposed approach. The presented picture fuzzy WASPAS approach feasibly enables the policymakers to identify the most desirable location for a biofuel production plant by considering the social, environmental and economic aspects of sustainability.

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“…However, FMEA is considered subjective because the use of this method involves the assessment of experts or respondents in determining three main variables, namely severity, occurrence, and detection rate of each failure risk. Therefore, there are no definite parameters in the process of collecting respondent data [19]. Still, in reality, the interests of the three are not the same [20].…”

Section: Introductionmentioning

confidence: 99%

Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model

Basuki,

Cahyo,

Handayani

et al. 2023

Jurnal Teknik Industri

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Lean Six Sigma is a method that is quite effective in solving waste problems in the production process, but it is often not optimal because of the tools used in the DMAIC process. Therefore, we developed a proposed model by combining the Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma to reduce waste in the production process. The Waste Assessment Model was used at the defined stage to identify waste, while the Fuzzy-FMEA was used for priority waste risk analysis at the analysis stage. Based on the results of the Waste Assessment Model case study, defects were the most influential waste, with a percentage of 22.38%. At the analysis stage using Pareto diagrams, tearing was the dominant defect in the Nike Extreme. Based on calculations using the Fuzzy-FMEA method, the highest cause of defects was errors in processes or missed processes that caused the failure. Improvement was carried out at the improvement stage, and we found it necessary to carry out intensive and periodic control or supervision of the Nike Extreme production process. Based on these results, the proposed Lean Six Sigma model can be used to identify and reduce waste in the production process.

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An integrated of fuzzy-WASPAS and E-FMEA methods for environmental risk assessment: a case study of petrochemical industry, Iran

Cited by 10 publications

References 22 publications

Risk Assessment in the Implementation of Advanced Work Packaging (AWP) in the Oil and Gas Industry

Risk Assessment in the Implementation of Advanced Work Packaging (AWP) in the Oil and Gas Industry

Biofuel Production Plant Location Selection Using Integrated Picture Fuzzy Weighted Aggregated Sum Product Assessment Framework

Combined Waste Assessment Model and Fuzzy-FMEA in Lean Six Sigma for Generating Waste Reduction Strategy: A Proposed Model

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