Using Artificial Neural Network in Estimate of Sales Amounts of Vented Combi and Its Importance in Supply Chain Management

Osman Yakıt; Yılmaz Özkan

Article Details

Using Artificial Neural Network in Estimate of Sales Amounts of Vented Combi and Its Importance in Supply Chain Management

Authors:

Osman Yakıt | Yılmaz Özkan

Publisher:

Gumushane University

Main Topics:

Yapay Zeka (Diğer) | Üretim ve Operasyon Yönetimi | Tedarik Zinciri Yönetimi

Journal:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.15 Issue 1, pp.237-253

Document Type:

Article

Publication Date:

1/2024

Document Language:

Turkish

Document ID (Org No.):

2001311131

pISSN:

1309-7423

Keywords:

Abstract:

 Purpose of the study is to predict the sales of the Combi with chimney product coded PRODTR using Artificial Neural Network and to explain the importance of this prediction in terms of supply chain management. As the data set, variable values related to the product named Combi with chimney has published by the Turkish Statistical Institute were used. An artificial neural network has created for annual data, and the forecast results produced were compared with the actualized values. Forecast sensitivity has calculated and its importance for supply chain management is highlighted. MATLAB Neural Network Toolbox has used for to be trained the Artificial Neural Network and to be performed the prediction process.

 Purpose of the study is to predict the sales of the Combi with chimney product coded PRODTR using Artificial Neural Network and to explain the importance of this prediction in terms of supply chain management. As the data set, variable values related to the product named Combi with chimney has published by the Turkish Statistical Institute were used. An artificial neural network has created for annual data, and the forecast results produced were compared with the actualized values. Forecast sensitivity has calculated and its importance for supply chain management is highlighted. MATLAB Neural Network Toolbox has used for to be trained the Artificial Neural Network and to be performed the prediction process.

 Purpose of the study is to predict the sales of the Combi with chimney product coded PRODTR using Artificial Neural Network and to explain the importance of this prediction in terms of supply chain management. As the data set, variable values related to the product named Combi with chimney has published by the Turkish Statistical Institute were used. An artificial neural network has created for annual data, and the forecast results produced were compared with the actualized values. Forecast sensitivity has calculated and its importance for supply chain management is highlighted. MATLAB Neural Network Toolbox has used for to be trained the Artificial Neural Network and to be performed the prediction process.

 Çalışmanın amacı, PRODTR kodlu Bacalı Kombi ürün satışlarını Yapay Sinir Ağı kullanarak tahmin etmek ve bu tahminin tedarik zinciri yönetimi açısından önemini açıklamaktır. Veri seti olarak Türkiye İstatistik Kurumunun yayınladığı Kombi Bacalı isimli ürüne ait değişken değerleri kullanılmıştır. Yıllık veriler için yapay sinir ağı oluşturulmuş ve üretilen tahmin sonuçları gerçekleşen değerlerle karşılaştırılmıştır. Tahmin duyarlılığı hesaplanmış ve tedarik zinciri yönetimi açısından önemi vurgulanmıştır. MATLAB Neural Network Toolbox, Yapay Sinir Ağının eğitilmesi ve tahmin işleminin gerçekleştirilmesi için kullanılmıştır.

Article Details

Using Artificial Neural Network in Estimate of Sales Amounts of Vented Combi and Its Importance in Supply Chain Management

Authors:

Osman Yakıt | Yılmaz Özkan

Publisher:

Gumushane University

Main Topics:

Yapay Zeka (Diğer) | Üretim ve Operasyon Yönetimi | Tedarik Zinciri Yönetimi

Journal:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.15 Issue 1, pp.237-253

Document Type:

Article

Publication Date:

1/2024

Document Language:

Turkish

Document ID (Org No.):

2001311131

pISSN:

1309-7423

Artificial Neural Network

Supply Chain Management

Production ManagementYapay Sinir Ağı

Tedarik Zinciri Yönetimi

Üretim Yönetimi

Issues

Article Details

Using Artificial Neural Network in Estimate of Sales Amounts of Vented Combi and Its Importance in Supply Chain Management

Authors: Osman Yakıt | Yılmaz Özkan

Publisher: Gumushane University

Main Topics: Yapay Zeka (Diğer) | Üretim ve Operasyon Yönetimi | Tedarik Zinciri Yönetimi

Journal: Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.15 Issue 1, pp.237-253

Document Type: Article

Publication Date: 1/2024

Document Language: Turkish

Document ID (Org No.): 2001311131

pISSN: 1309-7423

Artificial Neural Network

Supply Chain Management

Production ManagementYapay Sinir Ağı

Tedarik Zinciri Yönetimi

Üretim Yönetimi

Issues

Authors:

Osman Yakıt | Yılmaz Özkan

Publisher:

Gumushane University

Main Topics:

Yapay Zeka (Diğer) | Üretim ve Operasyon Yönetimi | Tedarik Zinciri Yönetimi

Journal:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.15 Issue 1, pp.237-253

Document Type:

Article

Publication Date:

1/2024

Document Language:

Turkish

Document ID (Org No.):

2001311131

pISSN:

1309-7423