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Journals / Avrupa Bilim ve Teknoloji Dergisi / 2026 / Sayı: 22 Özel Sayı

Selection of Optimum Maintenance Strategy Based on Fuzzy TOPSIS and Fuzzy AHP: An Application in A Food Company

Bulanık TOPSIS ve Bulanık AHP Yaklaşımlarıyla En Uygun Bakım Stratejisinin Belirlenmesi: Bir Gıda İşletmesinde Uygulama

Tolga Gedikli(KONYA GIDA VE TARIM ÜNİVERSİTESİ)0000-0002-0558-2439
Beyzanur Çayır Ervural(KONYA GIDA VE TARIM ÜNİVERSİTESİ)0000-0002-0861-052X
Durrmuş Tayyar Şen(KONYA GIDA VE TARIM ÜNİVERSİTESİ)0000-0001-9632-0102
Pages
212–225
Publication Date
2021-01-31
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AI Summary & Key Takeaways

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

The obtained results were compared to each other and then the most appropriate maintenance alternative was selected for the company.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Determining the appropriate maintenance management strategy increases the efficiency and reliability of companies, while incorrect maintenance activities significantly reduce the profits and productivity of companies.
📊
Key Findings & Data:Therefore, it is important to correctly determine the ideal proper maintenance strategy for the survival of the businesses.
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Conclusion & Impact:The obtained results were compared to each other and then the most appropriate maintenance alternative was selected for the company.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Bakım stratejisi seçimi · Çok kriterli karar verme · Bulanık TOPSIS

Abstract

Determining the appropriate maintenance management strategy increases the efficiency and reliability of companies, while incorrect maintenance activities significantly reduce the profits and productivity of companies. In today’s challenging competition conditions, maintenance planning activities have an important share of operating expenses. Therefore, it is important to correctly determine the ideal proper maintenance strategy for the survival of the businesses. In this study, it is aimed to select the most appropriate maintenance strategy utilizing fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and fuzzy AHP (Analytic Hierarchy Process) methods for a food company in Turkey. Four main criteria (safety, cost, reliability, and added value), twelve sub-criteria and five alternatives (corrective maintenance, time-based preventive maintenance, opportunistic maintenance, condition-based maintenance, and predictive maintenance) were defined to determine the most appropriate maintenance strategy. The obtained results were compared to each other and then the most appropriate maintenance alternative was selected for the company.

Özet

Uygun bakım planlaması, işletmelerin verimliliğini ve güvenilirliğini artırırken, uygun olmayan bakım stratejileri şirketlerin kazancını ve etkinliğini önemli ölçüde azaltmaktadır. Rekabet şartlarının kızıştığı günümüzde bakım planlama çalışmaları işletme giderlerinde önemli bir paya sahiptir. Bu nedenle işletmelerin ayakta kalmalarında uygun bakım stratejisi politikalarının doğru biçimde belirlenmesi ciddi önem taşımaktadır. Bu çalışmada, Türkiye'de bir gıda işletmesi için bulanık TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) ve bulanık analitik hiyerarşi süreci (AHP) yöntemleri kullanılarak en uygun bakım stratejisinin seçilmesi amaçlanmaktadır. En uygun bakım stratejisini belirlemek için dört ana kriter (güvenlik, maliyet, güvenilirlik ve katma değer), on iki alt kriter ve beş alternatif (düzeltici bakım, periyodik bakım, fırsatçı bakım, duruma dayalı bakım ve kestirimci bakım) tanımlanmıştır. Elde edilen sonuçlar karşılaştırılmış ve işletme için en uygun bakım stratejisi seçilmiştir.

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Cite This Article

Gedikli, T., Ervural, B. Ç., Şen, D. T. (2021). Selection of Optimum Maintenance Strategy Based on Fuzzy TOPSIS and Fuzzy AHP: An Application in A Food Company. Avrupa Bilim ve Teknoloji Dergisi, Sayı: 22 Özel Sayı, 212–225. https://doi.org/10.31590/ejosat.838168

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