- International Advanced Researches and Engineering Journal
- Vol: 2 Issue: 2
- Forecasting operation times by using Artificial Intelligence
Forecasting operation times by using Artificial Intelligence
Authors : Burcu Özcan, Pınar Yildiz Kumru, Alpaslan Fiğlali
Pages : 109-116
View : 14 | Download : 11
Publication Date : 2018-08-15
Article Type : Research
Abstract :Due to increased competition, companies must reduce delivery and costs on time and provide the desired product characteristics. This study was carried out in a firm that manufactures napkin machines according to the order. The most important problem is that the suppliers cannot deliver to customers on time. For effective production planning, it is necessary to use the correct operation times for each machine used. The times were estimated by using the Artificial Neural Network (ANN) approach and the Taguchi Design of Experiment was used to estimate the optimal combination of ANN parameters. According to the results of the research, it is found that the number of layers and neurons have significant influence. By using the ANN method, the time spent in parameter design is effectively reduced and the efficiency of the algorithm is increased. Estimation performance is compared with the statistical analysis. This model proved to be statistically reliable in estimating operation times. Thus, the operators will be able to estimate the processing times for new designs.Keywords : Artificial Neural Networks, Design of Experiment, Forecasting, Metaheuristics