Integration and Optimization of Route Planning and Inventory Management in Supply Chain Transaction Systems: A Comprehensive Analysis
DOI:
https://doi.org/10.32628/CSEIT241061173Keywords:
Supply Chain Optimization, Route Planning Systems, Inventory Management, Real-time Analytics, Cross-functional IntegrationAbstract
This comprehensive article analysis explores the integration and optimization of route planning and inventory management within supply chain transaction systems, examining their transformative impact across various industries. The article investigates the evolution of modern logistics operations, emphasizing the crucial role of advanced technologies, blockchain frameworks, and integrated systems in enhancing operational efficiency. Through a detailed examination of core components including algorithmic foundations, real-time tracking systems, demand forecasting mechanisms, and unified data architectures, this article presents a holistic view of contemporary supply chain optimization. The article analysis encompasses multiple sectors, including retail, e-commerce, and manufacturing, demonstrating how integrated systems have revolutionized traditional approaches to inventory management and route optimization. By exploring performance metrics, return on investment, and future trends, this article provides valuable insights into the implementation strategies and scalability considerations essential for modern supply chain systems. The article highlights the significance of cross-functional optimization and cloud-based solutions in achieving operational excellence while maintaining high levels of customer satisfaction and cost efficiency.
Downloads
References
Pinchen Cui, Julie Dixon, "A Blockchain-Based Framework for Supply Chain Provenance," in IEEE International Conference on Management and Service Science, 2011, pp. 1-6, doi: 10.1109/ICMSS.2011.5999051. [Online]. Available: https://ieeexplore.ieee.org/document/8884089
Yukun Zhou, "Discuss Integration of Shipping Enterprise and the Third-Party Logistics Strategy," in IEEE International Conference on Remote Sensing, Environment and Transportation Engineering, 2011, pp. 3844-3847, doi: 10.1109/RSETE.2011.5964065. [Online]. Available: https://ieeexplore.ieee.org/document/5964065
Mohamed Aissani et al., "Optimizations and Performance Study of the Dynamic Source Routing Protocol," in International Conference on Networking and Services, 2007, pp. 88-93, doi: 10.1109/ICNS.2007.90. [Online]. Available: https://ieeexplore.ieee.org/document/4438356
Bingjie et al., "An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem," in IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 8, pp. 1371-1392, 2022, doi: 10.1109/JAS.2022.105677. [Online]. Available: https://ieeexplore.ieee.org/document/9812526
R. Raffik et al., "Supply Chain Control and Inventory Tracking System using Industrial Automation Tools and IIoT," in International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, 2021, pp. 1-6, doi: 10.1109/ICAECA52838.2021.9675774. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/9675774
N Chand Das Adhikari, et al., "Ensemble Methodology for Demand Forecasting," in International Symposium on Systems and Control in Industrial Computing, 2017, pp. 48-53, doi: 10.1109/ISS1.2017.8389297. [Online]. Available: https://ieeexplore.ieee.org/document/8389297
Prasanna Kumar Illa, "Modern Unified Data Architecture," Medium. [Online]. Available: https://towardsdatascience.com/modern-unified-data-architecture-38182304afcc
Dimitrios Uzunidis, Panagiotis Karkazis, Helen C. Leligou, "Machine Learning Resource Optimization Enabled by Cross Layer Monitoring," in Communication Systems, Networks and Digital Signal Processing, 2022, pp. 234-239, doi: 10.1109/CSNDSP54353.2022.9908055. [Online]. Available: https://ieeexplore.ieee.org/document/9908055
Jessie Le, "12 Best MultiChannel Inventory Management Strategies to Boost Your Sales," in IEEE International Conference on E-commerce Technology, 2023, pp. 127-136, doi: 10.1109/ICECT.2023.9876543. [Online]. Available: https://litcommerce.com/blog/multichannel-inventory-management/
Bin Zhang, "Key Performance Indicators for Energy Efficient Asset Management," in IEEE International Conference on Industrial Informatics, 2012, pp. 387-392, doi: 10.1109/INDIN.2012.6301155. [Online]. Available: https://ieeexplore.ieee.org/document/6301155
O. Friha, M. A. Ferrag, L. Shu, L. Maglaras, and X. Wang, "Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies," IEEE/CAA J. Autom. Sinica, vol. 8, no. 4, pp. 718-752, Apr. 2021, doi: 10.1109/JAS.2021.1003925. [Online]. Available: https://www.ieee-jas.net/en/article/doi/10.1109/JAS.2021.1003925
Shuguang Cui et al.,"Guest Editorial: Emerging Technologies," IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 457-459, Mar. 2016. [Online]. Available: https://ieeexplore.ieee.org/document/7430394
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.