Military Science and Tactics

Military Science and Tactics

Minimum Requirements for using Intelligent Logistics in Defense Organizations

Document Type : Research/Original/Regular Article

Authors
1 Assistant Prof. Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran.
2 MSc. Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran.
Abstract
Based on the importance of using new technologies in Logistics, recently researchers focus on studies related in intelligent logistics. The role of intelligent logistics in effective supply chain management is increasingly critical, and researchers and practitioners have recently focused their attention in designing more systems to address today's challenges. One of the major challenges for military organizations in the logistics field is to utilize information technology to advance the speed of transmission and to find information and goods in a supply chain. The origin of all new technologies in the field of commercial and military information and communication technology is at the disposal of the intelligence and security organizations of the hostile countries, in which case, the logistical activities and support of the internal and external military organs of the country. Seriously, it has disrupted intelligence and security operations in addition to imposing sanctions or international threats on organizations by leaking military logistics information. Under such circumstances, security is a crucial logistics process for military organizations and organizations. Therefore, in this study, we intend to evaluate and identify the components of intelligent logistics cyber security by reviewing the modern scientific and research and military literature active in the military logistics industry and then using the expert assessment approach to evaluat the components in one of the most important and strategic industries. Finally, with regard to the identification of intelligent logistics security components and indicators, the identified requirements will be evaluated and analyzed using a questionnanire completed by experts.
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    • Barron, S. Cho, Y. M. Hua, A. Norcross, W. Voigt, J. , and Haimes, Y. (2016, April). Systems-based cyber security in the supply chain. In IEEE Systems and Information Engineering Design Symposium (SIEDS) (pp. 20-25). IEEE.
    • Boyes, H. (2015). Cybersecurity and cyber-resilient supply chains. Technology Innovation Management Review, 5(4), 28.
    • Chen, C. L. Deng, Y. Y. Weng, W. Zhou, M. and Sun, H. (2021). A blockchain-based intelligent anti-switch package in tracing logistics system. The Journal of Supercomputing, 77(7), 7791-7832.
    • Chen, J. Huang, T. Xie, X. Lee, P. T. W. and Hua, C. (2019). Constructing governance framework of a green and smart port. Journal of Marine Science and Engineering, 7(4), 83.
    • Choi, T. -M. Wallace, S. W. and Wang, Y. (2018), Big Data Analytics in Operations Management. Prod Oper Manag, 27: 1868-1883.
    • Choi, T-M. , Wen, X. Sun, X. and Chung, S-H. (2019). "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    • Dauvergne, P. (2020). Is artificial intelligence greening global supply chains? Exposing the political economy of environmental costs. Review of International Political Economy, 1-23.
    • Ellram, L. Bals, L. and Tate, W. (Eds.). (2018). Supply Chain Finance: Risk Management, Resilience and Supplier Management. Kogan Page Publishers.
    • Feng, Q. and Shanthikumar, J. G. (2018), How Research in Production and Operations Management May Evolve in the Era of Big Data. Prod Oper Manag, 27: 1670-1684.
    • Gunawan, T. S. Yaldi, I. R. H. Kartiwi, M. Ismail, N. , and Za’bah, N. F. , Mansor, H. , and Nordin, A. N. (2017). Prototype design of smart home system using internet of things. Indonesian Journal of Electrical Engineering and Computer Science, 7(1), 107-115.
    • -Huang, Q. and Yan, X. (2018, July). On the Application of Internet of Things (IOT) in Cold Chain Logistics Management. In 2018 International Symposium on Communication Engineering & Computer Science (CECS 2018). Atlantis Press.
    • Jian, H. Xu, M. and Zhou, L. (2019). Collaborative collection effort strategies based on the “Internet+ recycling” business model. Journal of Cleaner Production, 241, 118120.
    • Khoo, L. J. (2019). Design and Develop a Cybersecurity Education Framework Using Capture the Flag (CTF). In Design, Motivation, and Frameworks in Game-Based Learning (pp. 123-153). IGI Global.
    • Kremer, S. Mé, L. Rémy, D. and Roca, V. (2019). Cybersecurity.
    • Ku, A. Y. (2017). Anticipating critical materials implications from the Internet of Things (IOT): Potential stress on future supply chains from emerging data storage technologies. Sustainable Materials and Technologies.
    • Kuo, T. C. , Chen, K. J. , Shiang, W. J. , Huang, P. B. , Otieno, W. , and Chiu, M. C. (2021). A collaborative data-driven analytics of material resource management in smart supply chain by using a hybrid Industry 3. 5 strategy. Resources, Conservation and Recycling, 164, 105160.
    • Li, X. (2020). Reducing channel costs by investing in smart supply chain technologies. Transportation Research Part E: Logistics and Transportation Review, 137, 101927.
    • Liu, W. Liang, Y. Wei, S. and Wu, P. (2020a). The organizational collaboration framework of smart logistics ecological chain: a multi-case study in China. Industrial Management & Data Systems.
    • Liu, W. Shanthikumar, J. G. Lee, P. T. W. , Li, X. , and Zhou, L. (2021). Special issue editorial: Smart supply chains and intelligent logistics services. Transportation Research Part E: Logistics and Transportation Review, 147, 102256.
    • Liu, W. Shanthikumar, J. G. Lee, P. T. W. , Li, X. , and Zhou, L. (2021). Special issue editorial: Smart supply chains and intelligent logistics services. Transportation Research Part E: Logistics and Transportation Review, 147, 102256.
    • Liu, W. Wang, S. Lin, Y. Xie, D. and Zhang, J. (2020b). Effect of intelligent logistics policy on shareholder value: evidence from Chinese logistics companies. Transportation Research Part E: Logistics and Transportation Review, 137, 101928.
    • McFarlane, D. Giannikas, V. Lu, W (2016). Intelligent Logistics: Involving the Customer. Computers in Industry. 81, 105-115.
    • Nasiri, M. M. and Pourmohammad Zia, N. (2015). A hybrid model for supplier selection and order allocation in supply chain. Advances in Industrial Engineering, 49(1), 117-128.
    • Parn, E. A. and Edwards, D. (2019). Cyber threats confronting the digital built environment: Common data environment vulnerabilities and block chain deterrence. Engineering, Construction and Architectural Management.
    • Petit, J. (2018, July). Automated Vehicles Cybersecurity: Summary AVS’17 and Stakeholder Analysis. In Automated Vehicles Symposium 2018 (pp. 171-181). Springer, Cham.
    • Poster, W. R. (2018). Cybersecurity needs women.
    • Rasouli, M. R. (2019). An architecture for IoT-enabled intelligent process-aware cloud production platform: a case study in a networked cloud clinical laboratory. International Journal of Production Research, 1-16.
    • Ricci, J. Breitinger, F. and Baggili, I. (2019). Survey results on adults and cybersecurity education. Education and Information Technologies, 24(1), 231-249.
    • Ricci, J. Breitinger, F. and Baggili, I. (2019). Survey results on adults and cybersecurity education. Education and Information Technologies, 24(1), 231-249.
    • Tao, F. Zuo, Y. Da Xu, L. and Zhang, L. (2014). IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing.  IEEE Transactions on Industrial Informatics, 10(2), 1547-1557.
    • Uckelmann, D. (2008, September). A definition approach to smart logistics. International Conference on Next Generation Wired/Wireless Networking (pp. 273-284). Springer, Berlin, Heidelberg.
    • Wang, J. Lim, M. K. Zhan, Y. and Wang, X. (2020). An intelligent logistics service system for enhancing dispatching operations in an IoT environment. Transportation Research Part E: Logistics and Transportation Review, 135, 101886.
    • Winkelhaus, S. and Grosse, E. H. (2019). Logistics 4. 0: a systematic review towards a new logistics system. International Journal of Production Research, 1-26.
    • Xu, B. Wang, W. Hao, Q. Zhang, Z. Du, P. , Xia, T and Wang, X. (2018b). A security design for the detecting of buffer overflow attacks in iot device. IEEE Access, 6, 72862-72869.
    • Xu, L. Chen, L. Gao, Z. Chang, Y. , Iakovou, E. , and Shi, W. (2018a, October). Binding the Physical and Cyber Worlds: A Blockchain Approach for Cargo Supply Chain Security Enhancement. In 2018 IEEE International Symposium on Technologies for Homeland Security (HST) (pp. 1-5). IEEE.
    • Yip, N. S. M. S. (2015). The Effect of Cyber Supply Chain Security Towards Lean and Agile Supply Chain Performance in Healthcare Industry: The Mediating Effect of Organizational Capabilities (Doctoral dissertation, Universiti Sains Malaysia).
    • Yuen, J. S. , Choy, K. L. , Lam, H. Y. , and Tsang, Y. P. (2018). An Intelligent-Internet of Things (IoT) Outbound Logistics Knowledge Management System for Handling Temperature Sensitive Products. International Journal of Knowledge and Systems Science (IJKSS), 9(1), 23-40.
    • Zeng, F. Chan, H. K. and Pawar, K. (2020). The adoption of open platform for container bookings in the maritime supply chain. Transportation Research Part E: Logistics and Transportation Review, 141, 102019.
    • Zhang, N. and Liu, Y. (2019, July). NB-IOT Drives Intelligent Cold Chain for Best Application. In 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC) (pp. 1-4). IEEE.
    • Zhang, Y. Guo, Z. , Lv, J. , and Liu, Y. (2018). A framework for smart production-logistics systems based on CPS and industrial IoT. IEEE Transactions on Industrial Informatics, 14(9), 4019-4032.
    • Zhou, L. Chong, A. Y. , and Ngai, E. W. (2015). Supply chain management in the era of the internet of things. International Journal of Production Economics, 159, 1-3.