Dijital Depolama Alanlarında Verimliliğin Artırılması: Lojistik Yönetiminde SWARA Tabanlı Değerlendirme ve Yapay Sinir Ağı ile Geçerleme

Abstract

Bu araştırma, lojistik yönetiminde dijital depolama alanlarının verimliliğini iyileştiren faktörleri incelemek amacıyla SWARA (Adım Adım Ağırlık Değerlendirme Oran Analizi) yöntemi uygulanarak gerçekleştirilmiştir. Tedarik zincirlerinin artan karmaşıklığıyla birlikte, envanter depolamanın dijital çözümlerle optimize edilmesi, operasyonel performansın geliştirilmesi ve maliyetlerin indirgenmesi açısından kritik öneme sahiptir. Bu çalışmada, beş temel kriter değerlendirilmiştir: Otomasyon Seviyesi, Veri Analitiği Yetkinliği, İşgücü Eğitimi, Envanter Yönetimi Verimliliği ve Enerji Verimliliği. Bu kriterlerin uzmanlar tarafından nasıl önceliklendirildiğini ortaya çıkarmak amaçlanmıştır. Her kriter, genel depolama etkinliği üzerindeki etkisine göre değerlendirilmiştir. SWARA yöntemi kullanılarak, bu faktörler önceliklendirilmiş ve böylece lojistik yöneticilerinin en etkili olanlara odaklanmaları sağlanmıştır. Bu çalışma, dijitalleşme yolunda organizasyonların farkındalığını artırırken, yönetim bilişim sistemleri (MIS) ile bilgi ve iletişim teknolojileri (ICT) altyapılarını en iyi şekilde harmonize etmelerini sağlamayı hedeflemektedir. SWARA yöntemi uygulandıktan sonra, elde edilen sonuçlar SPSS’te çok katmanlı algılayıcı (multilayer perceptron) algoritması ile Yapay Sinir Ağları (Neural Networks) kullanılarak test edilmiştir. Çalışmanın bulguları, karar vericilere kaynak kullanımını iyileştirme, lojistik süreçleri daha verimli hale getirme ve giderek dijitalleşen bir ortamda sürdürülebilir ve uzun vadeli uygulamaları destekleme konusunda uygulanabilir içgörüler sunmaktadır.

Keywords

• Dijital Depolama
• Lojistik Yönetimi
• Nicel Yöntemler

Enhancing Efficiency in Digital Storage Fields: A SWARA-Based Evaluation with Neural Network Validation in Logistics Management

Abstract

This research is designed to investigate the factors to enhance efficiency in digital storage areas within logistics management, by performing the SWARA (Step-wise Weight Assessment Ratio Analysis) method. With the developing complexity of supply chains, optimizing inventory storage through digital solutions is critical for improving operational performance as well as reducing costs. In this study five key criteria are evaluated: Automation Level, Data Analytics Capability, Workforce Training, Inventory Management Efficiency, and Energy Efficiency to emerge how the conditions are being ranked by the experts. Each criterion is assessed for its impact on overall storage effectiveness. By applying the SWARA method, the factors are prioritized, which can allow logistics managers to focus on the most effective ones which can promote awareness of the organizations in digitalization path while structuring their management information systems (MISs) to leverage their information and communications technology (ICT) infrastructures. After processing SWARA, the results of the method are tested with Neural Networks through multilayer perceptron in SPSS. The findings offer actionable insights, enabling decision-makers to implement targeted improvements that enhance resource utilization, streamline logistics processes, and support sustainable and long-term practices in an increasingly digital landscape.

Keywords

• Digital Storage
• Logistics Management
• Quantitative Methods

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