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Journals / Endüstri Mühendisliği / 2009 / Cilt: 20 - Sayı: 2

An artifical neural network approach for supplier evaluation process: an application in the food sector

Tedarikçi değerlendirme süreci için bir yapay sinir ağı yaklaşımı: gıda sektöründe bir uygulama

Berk AYVAZ
Bersam BOLAT
Demet BAYRAKTAR
Sanem TÜMER
Pages
31–40
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

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

The results were presented, compared with the realized data, and also analyzed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The purpose of this study is to propose an artificial neural network model for supplier evaluation process with regards to a wide literature research.
📊
Key Findings & Data:The selection process is modeled by means of utilizing an artificial neural network model in order to take into consideration both quantitative and qualitative measures. 19 sub-criteria were set under main criteria Cost, Quality, Delivery, Productions Factors and General Factors for supplier evaluation process in accordance with a detailed literature review and experts’ opinions.
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Conclusion & Impact:The results were presented, compared with the realized data, and also analyzed.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The purpose of this study is to propose an artificial neural network model for supplier evaluation process with regards to a wide literature research. The selection process is modeled by means of utilizing an artificial neural network model in order to take into consideration both quantitative and qualitative measures. 19 sub-criteria were set under main criteria Cost, Quality, Delivery, Productions Factors and General Factors for supplier evaluation process in accordance with a detailed literature review and experts’ opinions. Developed artificial neural network model was applied to a large-scale food company included in the first 500 big companies in Turkey. The results were presented, compared with the realized data, and also analyzed.

Özet

Bu çalışmanın amacı, tedarikçi değerlendirme süreci için geniş bir yazın taramasının ardından bir model önerisindebulunmaktır. Tedarikçi değerlendirme süreci, hem nitel hem de nicel ölçütleri dikkate almak amacıyla yapay sinir ağıkullanılarak modellenmiştir. Kapsamlı bir yazın taraması ve uzman görüşleri doğrultusunda tedarikçi değerlendirme süreciiçin Fiyat, Kalite, Teslimat, Üretim Faktörleri ve Genel Faktörler ana ölçütleri altında 19 adet alt ölçüt belirlenmiştir.Geliştirilen yapay sinir ağı modeli, Türkiye’de ilk 500 firma arasında bulunan büyük ölçekli bir gıda firmasında uygulanarak,firma verileri ile geliştirilen sistemin sonuçları karşılaştırılıp sonuçlar yorumlanmıştır.

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Cite This Article

AYVAZ, B., BOLAT, B., BAYRAKTAR, D., TÜMER, S. (2022). An artifical neural network approach for supplier evaluation process: an application in the food sector. Endüstri Mühendisliği, Cilt: 20 - Sayı: 2, 31–40. https://ajindex.com/articles/501223

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