In this paper, a new fuzzy group decision making (FGDM) model based on  -level sets, is proposed to generate, more accurate fuzzy using, risk priority numbers (RPNs) and ensure to be robust against the uncertainty. This model allows decision makers (DMs) to evaluate FMEA risk factors using linguistic terms rather than precise numerical values, allows them to express their opinions independentl...

The COVID-19 pandemic broke out and the global logistics industry suffered severe losses; therefore, Fuzzy FMEA-AHP (Fuzzy Failure Mode Effects Analysis-Analytic Hierarchy Process) method is proposed to analyze failure reasons of system in pandemic. In this article, we have made an optimization on basis FMEA method: fuzzy integrated into algorithm, referred as F-RPWN (fuzzy risk priority-weight...

The failure mode and effects analysis (FMEA) is a widely used analytical technique that helps to identify and reduce the risks of failure in a system, component, or process. One important issue of FMEA is the determination of the risk priorities of failure modes. Risk ranking is produced in order to prioritize the focus on each of the failure modes that are identified. In this study, we applied...

Trucking industry plays a vital role in road freight transportation, because of its ease of accessibility. A systematic approach for factors identification and its ranking is required based on their criticality which affects the industry performance. Ranking of the factors has been performed by using interval type 2 fuzzy FMEA approach.

The simultaneous generation of steam and power, which is commonly referred to as cogeneration, has been adopted by many sugar mills in India to overcome the power shortage. It becomes an increasingly important source of income for sugar factories. The problems faced by the sugar mill industry arise mainly due to failures of either the complete system or some specific components during the cogen...

When major emergencies or accidents occur, risk evaluation and prediction are the most important means to reduce their impact. Typical uses failure mode effects analysis (FMEA) method for failure-risk ranking control. However, when faced with severe special infectious diseases such as COVID-19, there many cognitive information uncertainties that FMEA is unable effectively handle. To deal issue ...

There are varieties of QFD combination forms available that can help management to choose the right model for his/her types of problem. The proposed MOCC-QFD-FMEA model is a right model to include variety of objectives as well as the risk factors into the model of the problem. Due to the fact that the model also takes into consideration the concept of Fuzzy set, it further allows management...