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Dergiler / Gazi University Journal of Science Part A: Engineering and Innovation / 2026 / Volume: 12 Issue: 3

A Decision Tree-Based Approach for Classifying and Characterizing the Failure Type of White Goods

Çağlar Solmaz(Vestel Trade)0000-0003-0031-1944
Serhat Peker(İZMİR BAKIRÇAY ÜNİVERSİTESİ)0000-0002-6876-3982
Onur Doğan(İZMİR BAKIRÇAY ÜNİVERSİTESİ)0000-0003-3543-4012
Sayfa
—
Yayın Tarihi
2025-09-30
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The proposed approach enhances decision-making processes in after-sales service, leading to higher customer satisfaction and extended product life cycles.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:After-sales service plays a vital role in the white goods industry, significantly affecting both customer satisfaction and operational performance.
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Temel Bulgular & Veri:The model generates interpretable decision rules, providing insights into the factors contributing to failures.
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Sonuç & Katkı:The proposed approach enhances decision-making processes in after-sales service, leading to higher customer satisfaction and extended product life cycles.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Data Mining · Classification · Decision Tree Analysis

Abstract

After-sales service plays a vital role in the white goods industry, significantly affecting both customer satisfaction and operational performance. This paper presents a decision tree-based approach for classifying and characterizing failure types in white goods, using after-sales service data from a white goods manufacturer. We employ the Classification and Regression Tree (CART) algorithm to identify patterns in failure occurrences based on product category, region, usage duration, and brand. The model generates interpretable decision rules, providing insights into the factors contributing to failures. The results reveal that product category and region are the most significant factors influencing product failures. These findings support manufacturers and service providers in optimizing maintenance strategies and improving service operations. The proposed approach enhances decision-making processes in after-sales service, leading to higher customer satisfaction and extended product life cycles.

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Bu Makaleye Atıf Yap

Solmaz, Ç., Peker, S., Doğan, O. (2025). A Decision Tree-Based Approach for Classifying and Characterizing the Failure Type of White Goods. Gazi University Journal of Science Part A: Engineering and Innovation, Volume: 12 Issue: 3. https://doi.org/10.54287/gujsa.1655744

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