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@article{207855,
        author = {Rahul Manoj Prajapati and Abhijit Gajbhiye},
        title = {Improving FMCG Distribution Efficiency through Route Optimization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {3},
        pages = {3033-3041},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207855},
        abstract = {Purpose: This study focuses on improving the distribution of Fast-Moving Consumer Goods (FMCG) from warehouses to customers. In an industry with low profit margins and high demand, traditional experience-based logistics often lead to higher fuel costs and delivery delays. The study aims to develop a distribution model that reduces logistics costs while ensuring timely and efficient delivery.
Methodology: The research adopts a case-based approach using a simulated dataset. It combines basic mathematical optimization with practical route-planning techniques to improve distribution efficiency. The study considers key factors such as vehicle routing, warehouse locations, and delivery paths, treating them as part of an integrated distribution system.
Key Findings: Based on existing research, the proposed approach is expected to significantly improve logistics performance. The model aims to reduce distribution costs by approximately 3% to 12% and improve delivery efficiency by over 20%. These improvements are achieved by reducing unnecessary travel distance and improving vehicle utilization. Practical and Theoretical Implications: This study provides practical guidance for managers to improve distribution systems using simple and effective strategies. It also contributes to academic understanding by demonstrating how optimization techniques can be applied in real-world FMCG logistics to enhance efficiency and competitiveness.},
        keywords = {FMCG distribution, logistics optimization, route planning, supply chain management, cost reduction, delivery efficiency},
        month = {August},
        }