Cilt 14 Sayı 1 (2026): Business & Management Studies: An International Journal
Makaleler

Üretim planlama ve kontrol süreçlerinde yapay zekâ kullanımına yönelik risklerin bulanık FMEA ile analizi

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  • Zafer Duran
Zafer Duran
Dr. Öğr. Üyesi, Alanya Alaaddin Keykubat Üniversitesi, Antalya, Türkiye

Yayınlanmış 25.03.2026

Anahtar Kelimeler

  • Production Planning and Control, Artificial Intelligence Risks, Fuzzy FMEA
  • Üretim Planlama ve Kontrol, Yapay Zekâ Riskleri, Bulanık FMEA

Nasıl Atıf Yapılır

Üretim planlama ve kontrol süreçlerinde yapay zekâ kullanımına yönelik risklerin bulanık FMEA ile analizi. (2026). Business & Management Studies: An International Journal, 14(1), 312-328. https://doi.org/10.15295/bmij.v14i1.2705

Telif Hakkı (c) 2026 Zafer Duran

Creative Commons License

Bu çalışma Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License ile lisanslanmıştır.

Nasıl Atıf Yapılır

Üretim planlama ve kontrol süreçlerinde yapay zekâ kullanımına yönelik risklerin bulanık FMEA ile analizi. (2026). Business & Management Studies: An International Journal, 14(1), 312-328. https://doi.org/10.15295/bmij.v14i1.2705

Öz

Üretim planlama ve kontrol (ÜPK) süreçleri, artan sistem karmaşıklığı, değişken talep koşulları ve veriye dayalı karar destek araçlarının entegrasyonu nedeniyle giderek daha fazla belirsizliğe maruz kalmaktadır. Yapay zekâ (YZ) destekli araçlar, bu belirsizliğin yönetiminde önemli kolaylıklar sağlasa da kontrolü güç yeni riskler ortaya çıkarmaktadır. Buna karşın literatürde YZ’nin ÜPK’de oluşturduğu riskler farklı kavramlar üzerinden dağınık biçimde ele alınmakta ve bu riskleri bütüncül bir şekilde değerlendiren yaklaşımlar sınırlı kalmaktadır. Bu çalışma, ÜPK uygulamalarında YZ kullanımıyla ortaya çıkabilecek riskleri Bulanık Hata Türleri ve Etkileri Analizi (Bulanık FMEA) ile değerlendirerek literatürdeki bu boşluğu gidermeyi amaçlamaktadır. Bu doğrultuda çalışma kapsamında tanımlanan dokuz risk faktörü, ÜPK alanında uzman on dört akademisyenin olasılık, şiddet ve tespit edilebilirlik boyutlarındaki dilsel değerlendirmeleri üzerinden analiz edilmiştir. Analiz sonuçlarında siber güvenlik, açıklanabilirlik eksikliği ve algoritmik önyargı ÜPK uygulamalarında YZ kullanımına ilişkin en önemli riskler olarak belirlenmiştir. Çalışma, belirsizlik altında yapılandırılmış bir risk önceliklendirme yaklaşımı sunarak YZ’nin ÜPK süreçlerine daha kontrollü ve sürdürülebilir biçimde entegre edilebilmesine yönelik yol gösterici bir çerçeve sunmaktadır.

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