Journals / Electronic Letters on Science and Engineering / 2005 / Cilt: 1 - Sayı: 2

Machine and Part Cell Formation using Fuzzy and K-Means Clustering Methods

Bulanik Kümelendirme ve K-Means Kümelendirme Yöntemleri ile Makine ve Parça Hücrelerinin Olusturulmasi

Pages
33–41
Publication Date
2005-08-01
DOI
—
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AI Summary & Key Takeaways

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

The goal of this study is to compare manufacturing cell desgn which made of fuzzy logic approach with the K-Means method

📌 3 Key Takeaways

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Objective & Hypothesis:X Group technology and cellular manufacturing are applied in three different types; Forming part families, formöing machine cells, forming part families and machine cells simultaneously.
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Key Findings & Data:Several methods and techniques are improved to achieve problems of group technology.
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Conclusion & Impact:The goal of this study is to compare manufacturing cell desgn which made of fuzzy logic approach with the K-Means method
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Grup Teknolojisi · Hücresel imalat · Bulanik Kümelendirme

Abstract

X Group technology and cellular manufacturing are applied in three different types; Forming part families, formöing machine cells, forming part families and machine cells simultaneously. Several methods and techniques are improved to achieve problems of group technology. Artificial intelligences technologies are commonly in use in clustering poblems as in other manufacturing issues. In this study, fuzzy logic approach is studied in design of part families and machine cells simultaneously. The goal of this study is to compare manufacturing cell desgn which made of fuzzy logic approach with the K-Means method

Özet

Grup teknolojisi ve hücresel imalat tasarimi üç degisik sekilde uygulanmaktadir; parça ailelerinin olusturulmasi, makine hücrelerinin olusturulmasi, parça ailelerinin ve makine hücrelerinin es zamanli olusturulmasi. Bunlari yapabilmek için çesitli algoritma ve teknikler gelistirilmistir. Yapay zeka teknolojileri de diger imalat konularinda oldugu gibi kümelendirme problemlerinde de yaygin sekilde kullanilmaktadir. Bu çalismada da parça aileleri ve makine hücrelerinin es zamanli olarak bulanik mantik yaklasimi ve K-means ele alinacaktir. Çalismanin amaci, bulanik mantik yaklasimi ile yapilan hücre tasariminin K-Means kümelendirmeden ne oranda olumlu veya olumsuz sonuç verdigini görmektir

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Cite This Article

TUNACAN, T. (2005). Machine and Part Cell Formation using Fuzzy and K-Means Clustering Methods. Electronic Letters on Science and Engineering, Cilt: 1 - Sayı: 2, 33–41. https://ajindex.com/articles/133725

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