Date of Award

4-1-2021

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Department of Technology

First Advisor

Borinara Park

Abstract

To improve system performances and process dependability, analyzing the system accurately is an essential step but difficult to achieve and it is even more challenging if the system is complex and dynamic. A popular tool called FMEA has been widely used to analyze and improve systems. However, both academia and industry acknowledge its subjectivity and lack of cause-effect analysis capability. Therefore, in this research, the author presents a more objective and data-driven method called Discrete Event Simulation to improve FMEA’s analysis capability. Also, how the Discrete Event Simulation may enhance the FMEA by a step-by-step analysis approach is presented by a case study. The case study illustrates that Discrete Event Simulation can offer more quantitative analysis for FMEA so it could conduct a more reliable evaluation on system performance.

Comments

Imported from Abdukeyum_ilstu_0092N_11930.pdf

DOI

https://doi.org/10.30707/ETD2021.20210719070603154175.100

Page Count

47

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