Geri Dön

Parça ailesi oluşturmada endüktif-kaba kümeleme yaklaşımı

Inductive-rough sets appoach in part family formation

  1. Tez No: 153081
  2. Yazar: NUMAN ÇELEBİ
  3. Danışmanlar: PROF.DR. ORHAN TORKUL
  4. Tez Türü: Doktora
  5. Konular: Endüstri ve Endüstri Mühendisliği, Industrial and Industrial Engineering
  6. Anahtar Kelimeler: Hücresel İmalat, Grup Teknoloji, Endüktif Öğrenme, Kaba Kümeleme, Veri Madenciliği Geleneksel üretim sistemleri, rekabetin çok fazla olmadığı
  7. Yıl: 2004
  8. Dil: Türkçe
  9. Üniversite: Sakarya Üniversitesi
  10. Enstitü: Fen Bilimleri Enstitüsü
  11. Ana Bilim Dalı: Endüstri Mühendisliği Ana Bilim Dalı
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 250

Özet

ÖZET

Özet (Çeviri)

INDUCTIVE-ROUGH SETS APPROACH IN PART FAMILY FORMATION SUMMARY Key Words : Cellular Manufacturing, Group Technology, Inductive Learning, Rough Sets Theory, Data Mining Traditional manufacturing systems are techniques that are developed for manufacturing environments that aren't surrounded by high competition (are under low competitive conditions), have low variety of products and long product life cycles. These systems have problems like long lead time, excessive work in process, complicated production planning and control and changing market demands. In order to solve these problems, many modern manufacturing systems which including new methods, techniques and manufacturing philosophies as MRP, OPT, GT, CM, JIT etc. had been improved. Cellular manufacturing is a modern production system known as application of GT in manufacturing. There have been many clustering techniques to form part families and machine cells in GT literature. Most of these techniques are inadequate to achieve expected results in industrial problems because that they had not been tested with real manufacturing data. For this reason, a flexible model, that determines the formation of the part families easily, based on the AI technologies (Inductive Learning and Rough Set Theory) and Data Mining, have been developed. This model, has applied on real manufacturing environment in four scenarios with different manufacturing characteristics. Later, a simulation model has been designed in order to make performance analysis of the each part families that belongs to these scenarios. The performance measures of the scenarios have been computed via this model and the differences of the scenarios have been tested by t-test in a determined significance level. The results of the comparison have been demonstrated graphically, and the effects of the manufacturing characteristics on forming part families have been analyzed. As a result it has been observed that operation time characteristic gives the most appropriate solutions in all similarity clusters and loading manners for all three performance measures. xx

Benzer Tezler

  1. A Part family formation algorithm in GT environment using a multi-objective cluster analysis

    GT ortamında çok amaçlı sınıflandırma analizi ile bir parça oluşturma algoritması

    HAKAN OKAN BALKÖSE

    Yüksek Lisans

    İngilizce

    İngilizce

    1993

    Endüstri ve Endüstri Mühendisliğiİhsan Doğramacı Bilkent Üniversitesi

    Endodonti Ana Bilim Dalı

    YRD. DOÇ. DR. SELİM AKTÜRK

  2. Dynamic manufacturing cell formation through market oriented programming

    Piyasa odaklı programlama ile dinamik üretim hücrelerinin oluşturulması

    LATİFE GÖRKEMLİ

    Doktora

    İngilizce

    İngilizce

    2014

    Endüstri ve Endüstri MühendisliğiGaziantep Üniversitesi

    Endüstri Mühendisliği Bölümü

    PROF. DR. ADİL BAYKASOĞLU

  3. Grup teknolojisinde parça ailesi ve imalat hücresi oluşturma: Bir örnek inceleme

    Part family and manufacturing cell formation in group technology: An example study

    ERHAN BABALI

    Yüksek Lisans

    Türkçe

    Türkçe

    2007

    İşletmeSakarya Üniversitesi

    İşletme Ana Bilim Dalı

    Y.DOÇ.DR. MURAT AYANOĞLU

  4. Sinemada oyunculuk: Kako Si? filmi ile değerlendirilmesi

    Acting in cinema: Evaluation with Kako Si?

    ÖZLEM AKOVALIGİL

    Yüksek Lisans

    Türkçe

    Türkçe

    2010

    Radyo-TelevizyonMarmara Üniversitesi

    Sinema Televizyon Ana Sanat Dalı

    PROF. DR. SABRİ ÖZAYDIN

  5. Yalın montaj sistemlerinin tasarlanması ve uygulanması

    Designing and implementation of lean assembly systems

    EZGİ BORA

    Yüksek Lisans

    Türkçe

    Türkçe

    2017

    Endüstri ve Endüstri Mühendisliğiİstanbul Teknik Üniversitesi

    Endüstri Mühendisliği Ana Bilim Dalı

    PROF. DR. MEHMET BÜLENT DURMUŞOĞLU