Journals / Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2026 / Cilt: 9 Sayı: 4

The Importance of Solving Storage Problem in Supply Chain: A Case Study in Industry

Tedarik Zincirinde Depolama Sorununun Çözümünün Önemi: Sanayide Bir Vaka Çalışması

Hasan Çiçek(ÜSKÜDAR ÜNİVERSİTESİ)0000-0003-1956-9750
Muhammet Enis Bulak(ÜSKÜDAR ÜNİVERSİTESİ)0000-0003-3784-7830
Ali Seymen Alkara(KADİR HAS ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0002-5358-8464
Pages
2002–2017
Publication Date
2026-09-09
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AI Summary & Key Takeaways

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

The study concludes with measurable improvements in process flow efficiency and overall space utilization, demonstrating significant gains in production and logistics effectiveness.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents an in-depth analysis and optimization of the layouts and processes of three factories: A textile firm, a garment company, and a paper company.
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Key Findings & Data:The study emphasizes lean manufacturing principles and efficiency enhancement strategies tailored to each facility's unique requirements.
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Conclusion & Impact:The study concludes with measurable improvements in process flow efficiency and overall space utilization, demonstrating significant gains in production and logistics effectiveness.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Tedarik zinciri · yalın üretim · yerleşim optimizasyonu

Abstract

This paper presents an in-depth analysis and optimization of the layouts and processes of three factories: A textile firm, a garment company, and a paper company. The study emphasizes lean manufacturing principles and efficiency enhancement strategies tailored to each facility's unique requirements. The work utilizes spaghetti diagrams and layout visualizations to identify inefficiencies, propose redesigns, and showcase improvements. A comprehensive methodology involving data collection, analysis, and simulations is applied. The study concludes with measurable improvements in process flow efficiency and overall space utilization, demonstrating significant gains in production and logistics effectiveness. Targeted layout optimizations across the textile and paper production sectors significantly improved operational efficiency, reducing movement distances, material handling times, and costs by 20-50% while enhancing production capacity and inventory turnover. These results underscore the effectiveness of lean principles in streamlining supply chain performance and maximizing industrial productivity.

Özet

Bu makale, bir tekstil firması, bir konfeksiyon şirketi ve bir kâğıt fabrikası olmak üzere üç fabrikanın düzenleri ve süreçlerine yönelik derinlemesine bir analiz ve optimizasyon sunmaktadır. Çalışma, yalın üretim prensiplerini ve her tesisin özel gereksinimlerine uygun verimlilik artırma stratejilerini vurgulamaktadır. Verimsizlikleri belirlemek, yeniden tasarım önerileri sunmak ve iyileştirmeleri göstermek amacıyla spagetti diyagramları ve yerleşim görselleştirmeleri kullanılmaktadır. Veri toplama, analiz ve simülasyonları içeren kapsamlı bir metodoloji uygulanmaktadır. Çalışma, süreç akışı verimliliğinde ve genel alan kullanımında ölçülebilir iyileştirmelerle sonuçlanarak üretim ve lojistik etkinliğinde önemli kazanımlar sağlandığını ortaya koymaktadır. Tekstil ve kâğıt üretim sektörlerinde yapılan hedeflenmiş yerleşim optimizasyonları, operasyonel verimliliği önemli ölçüde artırmış; hareket mesafelerini, malzeme taşıma sürelerini ve maliyetleri %20-50 oranında azaltırken üretim kapasitesini ve envanter devir hızını yükseltmiştir. Bu sonuçlar, yalın prensiplerin tedarik zinciri performansını iyileştirmede ve endüstriyel verimliliği en üst düzeye çıkarmada ne denli etkili olduğunu ortaya koymaktadır.

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Cite This Article

Çiçek, H., Bulak, M. E., Alkara, A. S. (2026). The Importance of Solving Storage Problem in Supply Chain: A Case Study in Industry. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 9 Sayı: 4, 2002–2017. https://doi.org/10.47495/okufbed.1675680

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