| Issue |
MATEC Web Conf.
Volume 411, 2025
Joint 14th International Conference on Engineering, Project, and Production Management (EPPM2024) and 5th Zaytoonah Engineering Conference (ZEC2024)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 14 | |
| Section | Project Management, Organizational, and Safety Studies | |
| DOI | https://doi.org/10.1051/matecconf/202541103003 | |
| Published online | 05 September 2025 | |
The implementation of supply chain technology in the agricultural food sector
1 JNTU, Bangalore India
2 Al Zaytoonah University of Jordan
3 LTUC-Jordan
Abstract
The integration of supply chain theories and logistics is often given priority in agricultural studies, with a focus on retail firms. The study emphasizes how supply chain theories might be applied to agriculture to increase the productivity of food production. Takt time maintenance entails modifying production rates to satisfy customer requests, while cycle time and lead time increase productivity and shed light on inefficiencies. It also looks at how these techniques are used in Southeast Asian rice production, pointing out challenges like financial constraints and technological barriers to integrating technology into agricultural supply networks. Integrating production planning with lean principles in agriculture offers significant benefits, especially for developing countries facing climate, population, and food crises. Key strategies include optimizing resource use, reducing waste, standardizing processes, and improving supply chain coordination. These measures enhance agricultural efficiency, sustainability, and competitiveness, making them crucial for global and local supply chains. The research provides insights for policymakers, academics, and industry practitioners, addressing challenges like technological integration, financial constraints, and low automation in agricultural supply chains. It suggests remedies such as improved farmer training and financial support. The scope is limited by its reliance on Indian agri data, potentially limiting its broader applicability. Additionally, it does not compare lean principles with traditional agricultural methods, limiting insights into their relative effectiveness. The study emphasizes the need for better farmer training and financial subsidies.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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