Failure Mode and Effects Analysis (FMEA) is a proactive process aimed to evaluate a system, design, process and
service for possible ways in which failures can occur. The FMEA procedure assigns a numerical value to each
risk associated with causing a failure using severity, occurrence and detection indexes and Risk Priority Number
(RPN) is obtained by multiplying these numerical values. The traditional FMEA prioritization method has two
main deficiencies as: various sets of severity, occurrence and detection indexes may produce an identical value of
RPN and taking average or higher numerical value, when the team has a disagreement in the ranking index. In
this paper an attempt is made to develop a new RPN prioritization method to address these two deficiencies. The
proposed method has been evaluated by case studies and statistical analysis techniques.