Yıl: 2018 Cilt: 2 Sayı: 2 Sayfa Aralığı: 109 - 116 Metin Dili: İngilizce İndeks Tarihi: 13-05-2020

Forecasting operation times by using Artificial Intelligence

Öz:
Due to increased competition, companies must reduce delivery and costs on time and provide thedesired product characteristics. This study was carried out in a firm that manufactures napkinmachines according to the order. The most important problem is that the suppliers cannot deliverto customers on time. For effective production planning, it is necessary to use the correctoperation times for each machine used. The times were estimated by using the Artificial NeuralNetwork (ANN) approach and the Taguchi Design of Experiment was used to estimate theoptimal combination of ANN parameters. According to the results of the research, it is foundthat the number of layers and neurons have significant influence. By using the ANN method, thetime spent in parameter design is effectively reduced and the efficiency of the algorithm isincreased. Estimation performance is compared with the statistical analysis. This model provedto be statistically reliable in estimating operation times. Thus, the operators will be able toestimate the processing times for new designs.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA OZCAN B, YILDIZ KUMRU P, FIĞLALI A (2018). Forecasting operation times by using Artificial Intelligence. , 109 - 116.
Chicago OZCAN BURCU,YILDIZ KUMRU PINAR,FIĞLALI ALPASLAN Forecasting operation times by using Artificial Intelligence. (2018): 109 - 116.
MLA OZCAN BURCU,YILDIZ KUMRU PINAR,FIĞLALI ALPASLAN Forecasting operation times by using Artificial Intelligence. , 2018, ss.109 - 116.
AMA OZCAN B,YILDIZ KUMRU P,FIĞLALI A Forecasting operation times by using Artificial Intelligence. . 2018; 109 - 116.
Vancouver OZCAN B,YILDIZ KUMRU P,FIĞLALI A Forecasting operation times by using Artificial Intelligence. . 2018; 109 - 116.
IEEE OZCAN B,YILDIZ KUMRU P,FIĞLALI A "Forecasting operation times by using Artificial Intelligence." , ss.109 - 116, 2018.
ISNAD OZCAN, BURCU vd. "Forecasting operation times by using Artificial Intelligence". (2018), 109-116.
APA OZCAN B, YILDIZ KUMRU P, FIĞLALI A (2018). Forecasting operation times by using Artificial Intelligence. International Advanced Researches and Engineering Journal, 2(2), 109 - 116.
Chicago OZCAN BURCU,YILDIZ KUMRU PINAR,FIĞLALI ALPASLAN Forecasting operation times by using Artificial Intelligence. International Advanced Researches and Engineering Journal 2, no.2 (2018): 109 - 116.
MLA OZCAN BURCU,YILDIZ KUMRU PINAR,FIĞLALI ALPASLAN Forecasting operation times by using Artificial Intelligence. International Advanced Researches and Engineering Journal, vol.2, no.2, 2018, ss.109 - 116.
AMA OZCAN B,YILDIZ KUMRU P,FIĞLALI A Forecasting operation times by using Artificial Intelligence. International Advanced Researches and Engineering Journal. 2018; 2(2): 109 - 116.
Vancouver OZCAN B,YILDIZ KUMRU P,FIĞLALI A Forecasting operation times by using Artificial Intelligence. International Advanced Researches and Engineering Journal. 2018; 2(2): 109 - 116.
IEEE OZCAN B,YILDIZ KUMRU P,FIĞLALI A "Forecasting operation times by using Artificial Intelligence." International Advanced Researches and Engineering Journal, 2, ss.109 - 116, 2018.
ISNAD OZCAN, BURCU vd. "Forecasting operation times by using Artificial Intelligence". International Advanced Researches and Engineering Journal 2/2 (2018), 109-116.