Yıl 2018, Cilt: 18 Sayı : 2 Sayfalar 261 - 271 2018-04-01
Improvement of Manufacturing Processes by Artificial Neural Networks Analysis
Salih AKA,Gökhan AKYÜZ
25 261

Öz Manufacturing processes consist of activitiesaffected by a large number of variables. Theaim of this study is to show that improvementscan be made by using artificial neural networkmethods at stages of manufacturing such asplanning of processes, forecasting of the futuresituation, monitoring and control. In the study, amanufacturing process with 15 input variables wasmodeled using artificial neural networks, networktraining was provided, and a trained network wasused to obtain the best output performance inthe current situation. Artificial neural networksare useful tools in finding out the consequencesof any change that may occur in variables and inimproving the processes with this way. The resultsshow that artificial neural network models can bewell adapted to manufacturing processes.

Anahtar Kelimeler

Artificial neural networks, production and manufacturing processes, process improvement
Abbasi, B. (2009) “A neural network applied to estimateprocess capability of non-normal processes” ExpertSystems with Applications, 36: 3093-3100.
Birincil Dil tr
Konular İşletme
Yayımlanma Tarihi 1 Nisan 2018
Bölüm Araştırma Makalesi
Yazarlar Orcid : 0000-0002-6386-8582Yazar: Salih AKA (Sorumlu Yazar)

Orcid : 0000-0002-6386-8582Yazar: Gökhan AKYÜZ

Tarihler

Yayımlanma Tarihi : 1 Nisan 2018


Makalenin Yazarları
Salih AKA
Gökhan AKYÜZ