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Fuzzy FMEA Risk Analysis on Chemical Industry

Authors: Fenerci, Aslı Havva;

Fuzzy FMEA Risk Analysis on Chemical Industry

Abstract

Nowadays, green engineering strategies have become important for the industries, so global warming and landslides are a sign that nature is disturbed, the sustainability of green engineering and to leave a better environment for the future generation we need to show importance to the consumption of natural resources. There are different methods in production to protect green engineering and environmental resources.These techniques vary depending on the production or service sector and their application areas.Some of these techniques are Environmental Failure Mode and Effect Analysis (EFMEA) and Process Failure Mode and Effect Analysis (PFMEA). These two tools were used to evaluate Risk Priority (RPN) numbers for prioritizing the risk assignment in a chemical factory in the concept of green engineering. The identified components are calculated in the multi-criteria decision making (MCDM). This technique identifies RPN numbers and combines the weighting factor to the fuzzy parameter by the help of AHP. The effectiveness of this method is explained in fuzzy parameters of AHP and indicated with numerical example in a case study. In this study, the experts have evaluated fuzzy AHP. Keywords: FMEA, AHP, Risk Assignment, Risk Priority Number,Fuzzy FMEA,green engineering.

Keywords

Risk Priority Number, AHP, green engineering, Risk Assignment, Green Engineering-Environmental Aspects, Green chemistry, Sustainable development, Industrial Chemistry, Green technology (Environmental technology), FMEA, Fuzzy FMEA

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green