TY  - JOUR
T1  - Bakım için makine öğrenme tekniklerinin analizi ve bir uygulama
TT  - Analysis of machine learning techniques for maintenance and an application
AU  - Calayır, Gözde Nur
AU  - Kabak, Mehmet
PY  - 2021
DA  - June
Y2  - 2021
JF  - Journal of Turkish Operations Management
JO  - JTOM
PB  - METE GÜNDOĞAN
WT  - DergiPark
SN  - 2630-6433
SP  - 662
EP  - 675
VL  - 5
IS  - 1
LA  - tr
AB  - Bakım, her üretim kuruluşunda olması gerekli bir faaliyet olarak kabul edilirken, günümüzde ise ilave olarak şirketin gelir ve giderlerini etkileyenkritik bir işletme fonksiyonu olarak tanımlanmaktadır. Makine öğrenmesi kavramı, makinelerin karşılaştıkları durumlar karşısında kendini eğiterekdaha iyi kararlar verebilmesini sağlayan algoritmaların geliştirilmesi olgusudur. 1950 yıllarından itibaren bakım planlaması tahminlemeçalışmasında makine öğrenmesi teknikleri kullanılmaktadır. Savunma sanayi firmasında yapılan bu çalışmada makinelerin aniden ve plansızyapılan bakımlardan kaynaklı maliyeti yüksek olan parçaların hurda olması ve sevkiyatlarda meydana gelen gecikmelerden dolayı firmanınmüşterilere yüksek miktarda ceza ödemesi problemi ele alınmıştır. Bu çalışmadaki amaç gelişen bilim ve teknoloji kullanılarak, yapılacak olanbakım planlamalarını, arızaları önceden tahmin etmek, üretimde durmayı, maliyet kaybını en aza indirgemek veya tamamen engelleyebilmektir.Makine Öğrenmesi tekniklerinden denetimli öğrenme tekniği savunma sanayi firmasındaki en kritik kimyasal boya makinesinde uygulanarakbakım planlaması tahmini çalışması yapılmıştır.
KW  - Makine öğrenmesi
KW  - Kestirimci bakım
KW  - Bakım planlaması
N2  - While maintenance is considered a necessary activity in every production establishment, it is defined as a critical business function thataffects the income and expenses of the company today. The concept of machine learning is the phenomenon of developing algorithms that enablemachines to make better decisions by educating themselves in the face of the situations they encounter. Machine learning techniques have been usedin maintenance planning estimation studies since the 1950s. In this study conducted by a defense industry firm, the problem of the fact thatthe parts with high costs due to sudden and unplanned maintenance of the machines are scrap and the company pays a high amount of fines tocustomers due to delays in shipments. The purpose of this study is to predict the maintenance planning and malfunctions to be made by usingdeveloping science and technology, to minimize the cost loss and completely prevent stopping in production, in addition, the supervisedlearning technique, one of the Machine Learning techniques, was applied in the most critical chemical paint machine in the defense industrycompany, and maintenance planning was estimated.
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UR  - https://dergipark.org.tr/en/pub/jtom/issue//908302
L1  - https://dergipark.org.tr/en/download/article-file/1679448
ER  -