Advisor

Babski-Reeves, Kari.

Committee Member

Strawderman, Lesley.

Committee Member

Bian, Linkan.

Date of Degree

1-1-2016

Document Type

Graduate Thesis - Open Access

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Industrial and Systems Engineering

Abstract

Several concerns with Failure Modes and Effects Analysis (FMEA), including acknowledgement that the process contains human subjectivity, can be found in literature; however very little research has been conducted to identify where and to what extent this variation is found. This thesis investigated sources of variation related to human decision making within FMEA. Participants were required to determine the effects of given failure modes by selection of a severity level given varied input information. The study found that participants were not able to sift through the provided information and identify the appropriate cues relating data relevance to the failure mode under analysis. Thus, it appeared that more information will reduce conservatism – however the quality of the information and experience level does not have an effect. The study concluded that FMEAs contain significant subjectivity and data quality assessment must form part of the FMEA framework.

URI

https://hdl.handle.net/11668/16552

Comments

reliability||FMEA||error||subjectivity

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