Published on: April 2026
LOGISTICS NETWORK OPTIMIZATION: A STUDY ON EFFICIENCY AND PERFORMANCE IMPROVEMENT
R.Yuvashree
Dr R Raajalakshmi
Article Status
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Abstract
In today’s globalized economy, efficient logistics management is essential for business success. Companies face increasing challenges in managing transportation, warehousing, and distribution networks due to rising costs and customer expectations. This research focuses on Logistics Network Optimization (LNO), which aims to design and manage supply chain networks efficiently using analytical and technological approaches. The study highlights methods to minimize operational costs, improve delivery performance, and enhance customer satisfaction. The optimized logistics network ensures better resource utilization, reduced transit time, and improved decision-making. The results demonstrate that logistics network optimization plays a vital role in building a competitive and sustainable supply chain system.
How to Cite this Paper
R.Yuvashree, (2026). Logistics Network Optimization: A Study on Efficiency and Performance Improvement. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.735
R.Yuvashree, . "Logistics Network Optimization: A Study on Efficiency and Performance Improvement." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.735.
R.Yuvashree, . "Logistics Network Optimization: A Study on Efficiency and Performance Improvement." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.735.
References
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- Martin Christopher (2016). Logistics and Supply Chain Management. Pearson UK.
- David Simchi-Levi, Philip Kaminsky, and Edith Simchi-Levi (2008). Designing and Managing the Supply Chain. McGraw-Hill.
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Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 25 2026
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