MILITARY MANAGEMENT QUARTERLY

MILITARY MANAGEMENT QUARTERLY

A Comparative Study of Logistics Smartization in the Armed Forces of Seven Prominent Countries (Selected NATO Members and Neighboring States)

Document Type : Research Paper

Authors
pouya khadem 1
Mohammad abbasian 2
Mohammad Abbasian 3
alli abbasi 4
1 researcher
2 Researcher
3 University of Imam Ali
4 Faculty member
10.22034/iamu.2026.2058809.3176
Abstract
This study aims to conduct a comparative analysis of the level of smart military logistics within the armed forces of seven selected countries, The research adopts a mixed-methods approach, combining qualitative and quantitative methods. Data were collected through the analysis of library resources, strategic documents, and military reports. To evaluate the level of intelligent logistics and support, four key indicators were identified: utilization of information technology, integration of logistics and support systems, investment in smart modernization, and information and communication infrastructure. Subsequently, a questionnaire was completed with the participation of military experts, and the obtained data were analyzed using the multi-criteria decision-making method TOPSIS. The findings indicate that the United States, China, and the United Kingdom hold the highest ranks due to their extensive investment in intelligent modernization, advanced information technologies, and robust communication infrastructures. In contrast, countries such as Pakistan, India, and Turkey remain in the early stages of intelligent transformation due to limitations in resources, infrastructure, and system integration. Overall, the results suggest that success in smart military logistics depends not only on technological advancement but also on targeted investment, secure information infrastructure development, and the integration of logistics structures. The findings of this study, in addition to providing a novel comparative framework for assessing the level of military readiness and support digitalization, can be utilized in the formulation of defense policies and the design of a roadmap for the digitalization of military readiness and support within the armed forces.
Keywords
Intelligent Military Logistics
Comparative Study of Armed Forces
Military Logistics
Information Technology
Subjects
·       آقایی، عبدالله (1388). اصول سیستم های جامع لجستیک. فصلنامه مدیریت زنجیره تامین، 11(27)،27.
·       جهان دیده، امین و میرفخرائی، سیدحسن (1403). کاربرد هوش مصنوعی در بخش نظامی؛ مطالعه موردی: ایالات متحده آمریکا و چین. فصلنامه مطالعات بین‌ المللی، 21(2)، 295-313.
·       ریاضی، وحید و بیابانی، اسماعیل. (1403). الگوی تهدیدات فناوری‌های نوین نیروی زمینی ارتش جمهوری اسلامی ایران. فصلنامه مدیریت نظامی، 24(96)، 58-77.
·       دانش، رشید، آقامحمدی، داود، حاتمی، امیر و هاشمی، پرویز. (1403). مطالعه تطبیقی تسلیحات زمینی ارتش‌های منطقه‌ای و فرامنطقه‌ای در جنگ زمینی آینده (مطالعه موردی: کشورهای آمریکا، روسیه، عربستان، پاکستان, ترکیه و رژیم غاصب صهیونیستی). فصلنامه مدیریت نظامی، 24(93)، 183-224.
·       قاسمی، نعمت اله، امینی، سید جواد، و بیطرف، احمد (1401). نقشه راه هوشمندسازی آماد و پشتیبانی در سازمان‌های دفاعی. اولین همایش سراسری آماد و پشتیبانی دفاعی در گام دوم انقلاب اسلامی.
·       کاظمی، بابک. (1390). مدیریت تدارکات و آماد و پشتیبانی. تهران: انتشارات فرمنش.
 
·       Abadicio, M. (2019). Artificial intelligence for military logistics – current applications. Emerj. https://emerj.com/artificial-intelligence-military-logistics
·       Acimovic, S., Mijušković, V., & Golubović, M. (2021). Military logistics vs. business logistics. Economic Analysis, 54(1), 118–138.
·       Ajakwe, S. O., Nwakanma, C. I., Lee, J.-M., & Kim, D.-S. (2020). Machine learning algorithm for intelligent prediction for military logistics and planning. 2020 International Conference on Information and Communication Technology Convergence (ICTC), 417–419. IEEE. https://doi.org/10.1109/ICTC49870.2020.9289286
·       Army Recognition. (2018). Russian military vehicles to be equipped with GLONASS satellite navigation system. https://www.armyrecognition.com
·       Bennett, G., Crowder, W., & Baxter, C. (2023). Challenges and opportunities of IoT for defense and national security logistics. In IoT for defense and national security (pp. 83–96). IEEE.
·       Bogue, R. (2016). The role of robots in the battlefields of the future. Industrial Robot: An International Journal, 43(4), 354–359.
·       Bommakanti, K. (2021). As China strengthens army logistics, the implications for India’s eastern frontier. Observer Research Foundation. www.orfonline.org
·       Bommakanti, K. (2021). Indian military platform modernisation: Uncertainties, challenges, and progress. Observer Research Foundation. www.orfonline.org
·       British Army. (2022). Army approach to robotic and autonomous systems. Ministry of Defence. https://www.army.mod.uk
·       British Army. (2023). British Army approach to artificial intelligence. Ministry of Defence. https://www.army.mod.uk
·       Castro, B., Pochmann, P., & Neves, E. (2024). Artificial intelligence applications in military logistics operations. In Developments and advances in defense and security (pp. 89–100). Springer.
·       Crow, E. C., & Reichard, K. M. (2011). Military logistics. In System health management (pp. 369–386). John Wiley & Sons.
·       Department of Defense. (2019). Joint publication 4-0: Joint logistics. U.S. Government Publishing Office.
·       Jia, W., & Bin, D. (2024). Exploring Applications of Artificial Intelligence Technology in Modern Intelligent Logistics Development. 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 7, 1359-1364.
·       Kepe, M. (2023). Logistics and Sustainment in the Russian Armed Forces. RAND Corporation. https://www.rand.org/pubs/research_reports/RRA2523-1.html
·       Kurç, Ç. (2024). Enabling technology of future warfare: Turkey’s approach to defense AI. Contributions to Security and Defence Studies. Springer.
·       Mönch, R. (2022). High technology in support of connected forces. European Security & Defence. https://euro-sd.com/
·       Office of the Deputy Assistant Secretary of Defense for Logistics. (2024). Logistics information technology strategy. U.S. Department of Defense. https://www.dla.mil
·       Peltier, C. (2020). China's logistics capabilities for expeditionary operations. U.S.-China Economic and Security Review Commission. https://www.uscc.gov
·       Serrano, A., Kalenatic, D., López, C., & Montoya-Torres, J. R. (2023). Evolution of Military Logistics. Logistics, 7(2), 22.
·       Singh, S., & Singh, R. (2025). Analysis of smart warehouse in the context of India’s National Logistics Policy and digital-push: an ISM-MICMAC technique. International Journal of Productivity and Performance Management, 74(2), 683-707. https://doi.org/10.1108/IJPPM-10-2023-0533
·       Song, Y., Xu, H., Zheng, Y., Li, Y., & Cao, S. (2025). The Evaluation and Spatial Correlation Analysis of Smart Logistics: Evidence from 30 Provinces in China. Networks and Spatial Economics. https://doi.org/10.1007/s11067-025-09695-x
·       The Defense News. (2024). Indian Army deploys AI-powered drones for real-time intelligence and optimized logistics. https://www.thedefensenews.com/
·       Word Smiths Editorial. (2024). Enhancing operational efficiency: Pakistan Army logistics and support. Word Smiths. https://wordsmiths.blog/pakistan-army-logistics-and-support/
·       Zheng, D. E., & Carter, W. A. (2015). Leveraging the Internet of Things for a more efficient and effective military. Center for Strategic and International Studies.