A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0

Mahmut Sayar; Ozan Ateş; Tuğbay Burçin Gümüş; Gözde Ulutagay

doi:10.25229/beta.1951467

TR EN

Nakit Lojistiğinin Mevcut Durumu ve Yapay Zekâ ile Endüstri 5.0 Temelinde Gelecek Analizi Üzerine Bir Çalışma

Abstract

Yoğun küresel rekabet, afetler ve gelecekte ortaya çıkabilecek pandemiler nedeniyle lojistik ve tedarik zinciri yönetiminin önemi artmıştır. Ayrıca, lojistik süreçlerin yüksek maliyetleri, üretim maliyetlerini ve üretimin çevresel etkilerini artırmaktadır. Bu çalışma, nakit lojistiği alanındaki araştırmaların mevcut durumunu analiz etmekte ve yöntemsel bulgulara dayanarak gelecekteki gelişim eğilimlerini belirlemektedir. Çalışma kapsamında, 2006–2024 yılları arasında yayımlanan ve WoS, Scopus, ScienceDirect ve Google Scholar veri tabanlarından elde edilen toplam 78 akademik makale incelenmiştir. Temel analiz yaklaşımı olarak MAXQDA ve VOSviewer ile desteklenen bibliyometrik haritalama ve tematik içerik analizi kullanılmıştır. Bulgular, literatürün ağırlıklı olarak yöneylem araştırması, kısıtlı araç rotalama, yapay zekâ tabanlı ATM talep tahmini ve fiziksel güvenlik risklerinin optimizasyonu konularına odaklandığını göstermektedir. Analiz sonuçları, makine öğrenmesi ve yapay sinir ağlarının maliyet minimizasyonu ve operasyonel doğruluk üzerinde önemli bir etkiye sahip olduğunu ortaya koymaktadır. Bu bulgular doğrultusunda, sektörel araştırma ve uygulamalara yönelik somut öneriler geliştirilmiştir. Endüstri 5.0 çerçevesinde insan-makine iş birliğinin güçlendirilmesi önerilmektedir. Ayrıca, derin pekiştirmeli öğrenme gibi dinamik optimizasyon algoritmalarının, blok zinciri tabanlı güvenlik protokollerinin ve otonom araç sistemlerinin nakit lojistiği ağlarına entegre edilmesi önerilmektedir.

Keywords

Nakit Lojistiği, Yapay Zekâ, Endüstri 5.0, Araç Rotalama, Tedarik Zinciri Yönetimi

A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0

Abstract

The significance of logistics and SCM has grown due to intense global competition, disaster and the future pandemics. Additionally, the high cost of logistics processes is also increasing the cost and environmental impact of production. This study analyses the current state of research in the field of cash logistics and identifies future development trends based on methodological findings. In the course of the present study, a total of 78 academic articles published between 2006 and 2024 and retrieved from the WoS, Scopus, ScienceDirect, and Google Scholar databases were examined. The primary analytical approach employed was bibliometric mapping and thematic content analysis, supported by MAXQDA and VOSviewer. The findings indicate that the literature focuses primarily on operations research, constrained vehicle routing, AI-based ATM demand forecasting, and the optimization of physical security risks. The analysis results demonstrate that ML and ANN have a significant impact on cost minimization and operational accuracy. In view of these findings, specific recommendations have been developed for industry research and applications. In accordance with the points, it is recommended that human-machine collaboration be strengthened within the framework of Industry 5.0. Furthermore, dynamic optimization algorithms such as deep reinforcement learning, blockchain-based security protocols, and autonomous vehicle systems should be integrated into cash networks.

Keywords

Cash Logistics, Artificial Intelligence, Industry 5.0, Vehicle Routing, Supply Chain Management

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Primary Language

English

Subjects

Monetary-Banking, Financial Economy, Public Economy, Engineering Economy, Sustainable Development, Transport Economics, Green Economy, Applied Economics (Other), Business Administration, Business Systems in Context (Other)

Journal Section

Research Article

Authors

Mahmut Sayar ^*
0000-0002-1852-6276
Türkiye

Ozan Ateş
0000-0003-4178-2603
Türkiye

Tuğbay Burçin Gümüş
0000-0003-4225-2313
Türkiye

Gözde Ulutagay
0000-0002-7415-4251
Türkiye

Early Pub Date

October 16, 2026

Publication Date

October 16, 2026

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May 16, 2026

Acceptance Date

September 10, 2026

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Year 2026 Volume: 11 Number: 3

DOI

https://doi.org/10.25229/beta.1951467

IZ

https://izlik.org/JA67UT68XL

APA

Sayar, M., Ateş, O., Gümüş, T. B., & Ulutagay, G. (2026). A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0. Bulletin of Economic Theory and Analysis, 11(3), 1971-2012. https://doi.org/10.25229/beta.1951467

AMA

1.Sayar M, Ateş O, Gümüş TB, Ulutagay G. A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0. Beta. 2026;11(3):1971-2012. doi:10.25229/beta.1951467

Chicago

Sayar, Mahmut, Ozan Ateş, Tuğbay Burçin Gümüş, and Gözde Ulutagay. 2026. “A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0”. Bulletin of Economic Theory and Analysis 11 (3): 1971-2012. https://doi.org/10.25229/beta.1951467.

EndNote

Sayar M, Ateş O, Gümüş TB, Ulutagay G (October 1, 2026) A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0. Bulletin of Economic Theory and Analysis 11 3 1971–2012.

IEEE

[1]M. Sayar, O. Ateş, T. B. Gümüş, and G. Ulutagay, “A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0”, Beta, vol. 11, no. 3, pp. 1971–2012, Oct. 2026, doi: 10.25229/beta.1951467.

ISNAD

Sayar, Mahmut - Ateş, Ozan - Gümüş, Tuğbay Burçin - Ulutagay, Gözde. “A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0”. Bulletin of Economic Theory and Analysis 11/3 (October 1, 2026): 1971-2012. https://doi.org/10.25229/beta.1951467.

JAMA

1.Sayar M, Ateş O, Gümüş TB, Ulutagay G. A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0. Beta. 2026;11:1971–2012.

MLA

Sayar, Mahmut, et al. “A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0”. Bulletin of Economic Theory and Analysis, vol. 11, no. 3, Oct. 2026, pp. 1971-12, doi:10.25229/beta.1951467.

Vancouver

1.Mahmut Sayar, Ozan Ateş, Tuğbay Burçin Gümüş, Gözde Ulutagay. A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0. Beta. 2026 Oct. 1;11(3):1971-2012. doi:10.25229/beta.1951467

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Nakit Lojistiğinin Mevcut Durumu ve Yapay Zekâ ile Endüstri 5.0 Temelinde Gelecek Analizi Üzerine Bir Çalışma

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A Study on the Current Status of Cash Logistics and Future Analysis Based on Artificial Intelligence and Industry 5.0

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