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

Authors : Mustafa Hakan Saldı, Gonca Reyhan Akkartal

Pages : 1110-1134

Doi:10.30586/pek.1650559

View : 43 | Download : 85

Publication Date : 2025-09-19

Article Type : Research Paper

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 : Dijital Depolama, Lojistik Yönetimi, Nicel Yöntemler

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