Dergiler / International Journal of Intelligent Systems and Applications in Engineering / 2016 / Cilt: 4 Sayı: Special Issue-1

Improvement of Facility Layout by Using Data Mining Algorithms and an Application

Sayfa
92–100
Yayın Tarihi
2016-12-26
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In consideration of this information an alternative facility layout planning was planned in regard to analysis results of departments’ closeness situations, advices of emergency service doctor and observations made.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The facility layout problems are always important in the production or service industry system.
📊
Temel Bulgular & Veri:For many years, it has been a common research field in active research.
💡
Sonuç & Katkı:In consideration of this information an alternative facility layout planning was planned in regard to analysis results of departments’ closeness situations, advices of emergency service doctor and observations made.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:GRI Algorithm · Apriori Algorithm · Facility Layout

Abstract

The facility layout problems are always important in the production or service industry system. For many years, it has been a common research field in active research. It seen that various methods were used in literature review for improving facility layout. We used association analysis which is one of the techniques of data mining in this study. The primary aim of this study is to improving the emergency department's efficiency, increasing patient satisfaction and employee satisfaction, decreasing travelled distance in emergency department. In this study, data acquired from information system of an emergency service was examined by means of data mining techniques (association rules such as GRI and Apriori) and relations between departments were found out. Association rules were analyzed via data mining techniques applied and then departments having more flow density with each other were determined. In consideration of this information an alternative facility layout planning was planned in regard to analysis results of departments’ closeness situations, advices of emergency service doctor and observations made.

🔖

Bu Makaleye Atıf Yap

KOKOÇ, M., ERSÖZ, S., AKTEPE, A., TÜRKER, A. K. (2016). Improvement of Facility Layout by Using Data Mining Algorithms and an Application. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 4 Sayı: Special Issue-1, 92–100. https://ajindex.com/articles/995948

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (9)

  1. M. F. Unlersen and K. Sabanci (2016). The Classification of Diseased Trees by Using kNN and MLP Classification Models According to the Satellite Imagery. International Journal of Intelligent Systems and Applications in Engineering. Vol.4. Issue. 2. Pages. 25–28.
  2. Paolo Giudici and Gianluca Passerone (2002). Data Mining of Association Structures to Model Consumer Behavior. Computational Statistics & Data Analysis. Vol. 38. Pages. 533–541.
  3. Gül Gökay Emel, Çağatan Taşkın and Arif Tok (2005). Pazarlama Stratejilerinin Oluşturulmasında Bir Kara Destek Aracı: Birliktelik Kuralı Madenciliği (A Decision Support Tool in the Formation of Marketing Strategies: Association Rule Mining). Dokuz Eylül Üniversitesi Sosyal Bilimler Dergisi. Vol.7. Issue. 3. Pınar Yildirim, Mahmut Uludağ and Abdülkadir Görür (2008). Hastane Bilgi Sistemlerinde Veri Madenciliği (Data Mining in Hospital Information Systems). Akademik Bilişim.Pages.429-434. Ali Serhan Koyuncugil and Nermin Özgülbaş (2008). Data Mining: Using and Applications in Medicine and Healthcare. Bilişim Teknolojileri Dergisi. Vol.2. Issue. 2. Mehpare Timor, Umman Tuğba Şimşek (2008). Customer Behaviour Modeling by Using Market Basket Analysis in Data Mining. Yönetim: İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Dergisi. Vol. 59. Pages. 3-10.
  4. Derya Ay, İbrahim Çil (2008). The Use Of Association Rules In Store Layout Planning At Migros Türk A.Ş. Journal of Industrial Engineering. Vol. 21 Issue. 2. Pages. 14-29.
  5. Ali Sait Albayrak, Sebnem Koltan Yilmaz (2009). Data Mining: Decision Tree Algorithms and an Application On ISE Data. Suleyman Demirel University the Journal of Faculty of Economics and Administrative Sciences. Vol.14. Issue.1.Pages31-52. Çağatan Taşkin, Gül Gökay Emel (2010). Data Clustering Approaches in Data Mining And an Application With Kohonen Networks in Retailing Sector. Suleyman Demirel University the Journal of Faculty of Economics and Administrative Sciences. Vol.15. Issue.3. Pages.395-409.
  6. Civan Özseyhan, Bertan Badur and Osman N. Darcan (2012). An Association Rule-Based Recommendation Engine for an Online Dating Site. Communications of the IBIMA.Vol.2012.
  7. Gürdoğan Doğrul, Diyar Akay, Mustafa Kurt (2015). Analysis Of Traffic Accidents By Rules Of Association. Gazi Mühendislik Bilimleri Dergisi. 265-284.
  8. Alwalid N. Elshafei (1977). Hospital Layout as a Quadratic Assignment Problem. Operational Research Quarterly. Vol. 28. Pages. 167-179.
  9. Christian Stummer, Karl Doerner, Axel Focke an