gummfd

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

1300-1884 1304-4915

Gazi Üniversitesi

10.17341/gazimmfd.1745136

Multiple Criteria Decision Making Manufacturing and Service Systems Optimization in Manufacturing

Çok Ölçütlü Karar Verme Üretim ve Hizmet Sistemleri Üretimde Optimizasyon

Akıllı SERU sistemleri: DeJong öğrenme etkisi ile çok dönemli üretim planlaması yeniliği

Smart SERU systems: multi-period production planning innovation with DeJong learning effect

https://orcid.org/0009-0006-8384-2466

Yıldız

Çağdaş

TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ

03 31 2026

41 1 565 578 07 19 2025 01 16 2026

1986

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Bu çalışma, dönen SERU üretim sistemlerinde DeJong öğrenme etkilerinin çok dönemli üretim planlaması optimizasyonuna entegrasyonunu araştırmaktadır. İşçi maliyetleri, kurulum masrafları ve kurulum süreleri için farklı öğrenme parametreleri (α₁,α₂,α₃) kullanarak üç boyutlu bir DeJong modeli geliştirilmiştir. Karma tamsayılı doğrusal programlama yöntemiyle oluşturulan model, 27 eşitlik ve 15 dönemlik planlama sürecini kapsamaktadır. 2, 3 ve 4 farklı SERU konfigürasyonu, 8 işçi ve 2 ürün tipi modellenerek, Analitik Hiyerarşi Süreci (AHP) ile objektif işçi yetkinlik matrisi oluşturulmuştur. Türkiye buzdolabı sektöründen elde edilen gerçek verilerle kalibre edilen model, LINGO optimizasyon yazılımıyla çözülmüştür. On DeJong senaryosunun 2-SERU ve 3-SERU konfigürasyonlarında tamamında, 4-SERU'da dokuzunda pozitif sonuçlar elde edilmiş, kurulum maliyet odaklı öğrenme senaryosu %18,03 (808,150 TL) tasarruf sağlayarak en yüksek performansı göstermiştir. 3-SERU konfigürasyonunun başarı oranı ve hesaplama performansı dengesinde optimal nokta olduğu kanıtlanmıştır. Sonuçlar, tek boyutlu öğrenme stratejilerinin çok boyutlu yaklaşımlardan daha etkili olduğunu ve kurulum süreçlerinde uzmanlaşmanın kritik başarı faktörü olduğunu ortaya koymaktadır.

This study investigates the integration of DeJong learning effects into multi-period production planning optimization in rotating SERU production systems. A three-dimensional DeJong model is developed using different learning parameters (α₁,α₂,α₃) for worker costs, setup expenses, and setup times. The model, formulated using mixed-integer linear programming, encompasses 27 equations and a 15-period planning process. 2, 3, and 4 different SERU configurations with 8 workers and 2 product types are modeled, with an objective worker competency matrix created using Analytical Hierarchy Process (AHP). The model, calibrated with real data from Turkey's refrigerator sector, is solved using LINGO optimization software. Positive results are obtained in all scenarios for 2-SERU and 3-SERU configurations, and in nine of ten scenarios for 4-SERU, with the setup cost-focused learning scenario achieving the highest performance with 18.03% (808.150 TL) savings. The 3-SERU configuration is proven to be the optimal point in the success rate and computational performance balance. Results reveal that single-dimensional learning strategies are more effective than multi-dimensional approaches and that specialization in setup processes is a critical success factor.

Dönen SERU üretim sistemi DeJong öğrenme etkisi çok dönemli planlama karma tamsayılı programlama maliyet optimizasyonu

Rotating SERU production system DeJong learning effect multi-period planning mixed integer programming cost optimization

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