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Journals / Gümüşhane Üniversitesi Sosyal Bilimler Dergisi / 2026 / Cilt: 15 Sayı: 1

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

Bacalı Kombi Satış Miktarlarının Tahmininde Yapay Sinir Ağının Kullanılması ve Tedarik Zinciri Yönetimi İçerisindeki Önemi

Osman Yakıt(AKDENİZ ÜNİVERSİTESİ)0000-0001-8353-9164
Yılmaz Özkan(İSTANBUL GELİŞİM ÜNİVERSİTESİ)0000-0002-8831-288X
Pages
237–253
Publication Date
2024-01-31
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

MATLAB Neural Network Toolbox has used for to be trained the Artificial Neural Network and to be performed the prediction process.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
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Key Findings & Data:As the data set, variable values related to the product named "Combi (with chimney)" has published by the Turkish Statistical Institute were used.
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Conclusion & Impact:MATLAB Neural Network Toolbox has used for to be trained the Artificial Neural Network and to be performed the prediction process.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Sinir Ağı · Tedarik Zinciri Yönetimi · Üretim Yönetimi

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.

Özet

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 Kurumu'nun 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.

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Cite This Article

Yakıt, O., Özkan, Y. (2024). Using Artificial Neural Network in Estimate of Sales Amounts of Vented Combi and Its Importance in Supply Chain Management. Gümüşhane Üniversitesi Sosyal Bilimler Dergisi, Cilt: 15 Sayı: 1, 237–253. https://ajindex.com/articles/1400454

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References (3)

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