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Journals / Beykent Üniversitesi Sosyal Bilimler Dergisi / 2013 / Cilt: 6 - Sayı: 2

Quality Improvement in Manufacturing Processes to Defective Products using Pareto Analysis and FMEA

Ali GORENER
Kerem TOKER
Pages
0–0
Publication Date
2013-06-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Finally, some recommended actions were discussed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Özet: Quality is a main driver in a customer’s choice of products and service.
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Key Findings & Data:Improvement of quality is a extremely desired objective in the brutally competitive industrial world.
💡
Conclusion & Impact:Finally, some recommended actions were discussed.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Özet: Quality is a main driver in a customer’s choice of products and service. Improvement of quality is a extremely desired objective in the brutally competitive industrial world. There are many methods for quality improvement. Pareto analysis is one of the major technics of statistical process control. It is a broadly applicable method that used for identifying and prioritizing the factors like failure modes, success criteria, downtime reasons etc. in manufacturing or service processes. Failure Mode and Effect Analysis (FMEA) is an evaluation and improvement technique that is applied to identify and eliminate known or potential failures and problems from a system, design, process and service before they actually ocur and reach the customer. Priority ranking of FMEA is determined by Risk Priority Number (RPN) which is computed by multiplication of severity, occurrence and detectability of failures. In this study, it is aimed to determine and classify failure modes and to offer suggestions according to their importance degree by Pareto analysis and FMEA for grinding process. After investigating the reasons of the occurring waste product in grinding process analyzed by Pareto analysis. To apply FMEA, firstly, decision team was established to determine the causes of fault. And then FMEA is performed to prioritize the critical potential failure modes of the process. Finally, some recommended actions were discussed.

Özet

Özet: Quality is a main driver in a customer’s choice of products and service. Improvement of quality is a extremely desired objective in the brutally competitive industrial world. There are many methods for quality improvement. Pareto analysis is one of the major technics of statistical process control. It is a broadly applicable method that used for identifying and prioritizing the factors like failure modes, success criteria, downtime reasons etc. in manufacturing or service processes. Failure Mode and Effect Analysis (FMEA) is an evaluation and improvement technique that is applied to identify and eliminate known or potential failures and problems from a system, design, process and service before they actually ocur and reach the customer. Priority ranking of FMEA is determined by Risk Priority Number (RPN) which is computed by multiplication of severity, occurrence and detectability of failures. In this study, it is aimed to determine and classify failure modes and to offer suggestions according to their importance degree by Pareto analysis and FMEA for grinding process. After investigating the reasons of the occurring waste product in grinding process analyzed by Pareto analysis. To apply FMEA, firstly, decision team was established to determine the causes of fault. And then FMEA is performed to prioritize the critical potential failure modes of the process. Finally, some recommended actions were discussed.

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Cite This Article

GORENER, A., TOKER, K. (2013). Quality Improvement in Manufacturing Processes to Defective Products using Pareto Analysis and FMEA. Beykent Üniversitesi Sosyal Bilimler Dergisi, Cilt: 6 - Sayı: 2, 0–0. https://ajindex.com/articles/36815

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