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Improving Failure Mode and Effect An...
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Abdukeyum, Adil.
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Improving Failure Mode and Effect Analysis (FMEA) Method Using Discrete Event Simulation.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Improving Failure Mode and Effect Analysis (FMEA) Method Using Discrete Event Simulation./
作者:
Abdukeyum, Adil.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
48 p.
附註:
Source: Masters Abstracts International, Volume: 83-02.
Contained By:
Masters Abstracts International83-02.
標題:
Statistics. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28412981
ISBN:
9798522971069
Improving Failure Mode and Effect Analysis (FMEA) Method Using Discrete Event Simulation.
Abdukeyum, Adil.
Improving Failure Mode and Effect Analysis (FMEA) Method Using Discrete Event Simulation.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 48 p.
Source: Masters Abstracts International, Volume: 83-02.
Thesis (M.S.)--Illinois State University, 2021.
This item must not be sold to any third party vendors.
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.
ISBN: 9798522971069Subjects--Topical Terms:
517247
Statistics.
Subjects--Index Terms:
Cause-effect analysis
Improving Failure Mode and Effect Analysis (FMEA) Method Using Discrete Event Simulation.
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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.
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