Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis.

Area of Science:

• Engineering
• Risk Management
• Decision Science

Background:

• Failure Mode and Effects Analysis (FMEA) is a crucial risk management tool in engineering.
• The Risk Priority Number (RPN) is a key FMEA parameter, calculated as Occurrence (O) x Severity (S) x Detection (D).
• Assessing RPN involves expert judgment, which can introduce uncertainty.

Purpose of the Study:

• To propose a novel Deng entropy weighted risk priority number (DEWRPN) to address uncertainty in FMEA.
• To integrate Dempster-Shafer evidence theory (DST) for robust risk assessment.
• To develop a method that accounts for the relative importance of risk factors and experts.

Main Methods:

• Utilizing Deng entropy to quantify the uncertainty of expert assessments.
• Developing a weighting strategy for FMEA experts based on risk factors and their uncertainties.
• Applying Dempster-Shafer evidence theory (DST) within the DEWRPN framework.
• Constructing exponential weights for risk factors and expert importance using Deng entropy.

Main Results:

• The proposed DEWRPN method effectively handles uncertainty in FMEA expert assessments.
• The weighting strategy dynamically assigns importance to experts and risk factors based on uncertainty.
• A case study demonstrated the practicability and effectiveness of the DEWRPN model.

Conclusions:

• DEWRPN offers a more reliable approach to risk assessment in FMEA by managing uncertainty.
• The method provides a flexible and compatible expert weighting strategy for real-world decision-making.
• This approach enhances the precision and validity of FMEA in engineering applications.