Program Information

Failure Modes and Effect Analysis for Monthly Quality Assurance of Linear Accelerator

J Xie

J Xie¹*, Y Xiao² , J Wang³ , J Peng⁴ , S Lu⁵ , W Hu⁶ , (1) Fudan University shanghai cancer center, Shanghai, Shanghai, (2) Thomas Jefferson Univ Hospital, Philadelphia, PA, (3) Fudan University Shanghai Cancer Center, Shanghai, Shanghai, (4) Fudan University Shanghai Cancer Center, Shanghai, Shanghai, (5) Fudan University Shanghai Cancer Center, Shanghai, Shanghai, (6) Fudan University Shanghai Caner Center, Shanghai, Shanghai

Presentations

SU-E-T-627 Sunday 3:00PM - 6:00PM Room: Exhibit Hall

Purpose: To develop and implement a failure mode and effect analysis (FMEA) on routine monthly Quality Assurance (QA) tests (physical tests part) of linear accelerator.

Methods:A systematic failure mode and effect analysis method was performed for monthly QA procedures. A detailed process tree of monthly QA was created and potential failure modes were defined. Each failure mode may have many influencing factors. For each factor, a risk probability number (RPN) was calculated from the product of probability of occurrence (O), the severity of effect (S), and detectability of the failure (D). The RPN scores are in a range of 1 to 1000, with higher scores indicating stronger correlation to a given influencing factor of a failure mode. Five medical physicists in our institution were responsible to discuss and to define the O, S, D values.

Results:15 possible failure modes were identified and all RPN scores of all influencing factors of these 15 failue modes were from 8 to 150, and the checklist of FMEA in monthly QA was drawn. The system showed consistent and accurate response to erroneous conditions.

Conclusion:The influencing factors of RPN greater than 50 were considered as highly-correlated factors of a certain out-of-tolerance monthly QA test. FMEA is a fast and flexible tool to develop an implement a quality management (QM) frame work of monthly QA, which improved the QA efficiency of our QA team. The FMEA work may incorporate more quantification and monitoring fuctions in future.


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