TY - GEN
T1 - Balancing Local Production and Imports Using Mixed-Integer Programming
T2 - 10th International Congress on Information and Communication Technology, ICICT 2025
AU - Jovanovic, Raka
AU - Abdel-Halim Shannak, Sa’d
AU - P. Sanfilippo, Antonio
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This paper develops a linear programming model to optimize the balance between domestic agricultural production and imports in Qatar, aligning with the goals of the Qatar National Food Security Strategy (QNFSS). The model incorporates economic, environmental, and policy constraints to ensure food security while addressing critical challenges such as resource limitations, supply chain resilience, and reliance on imports. By evaluating various production and import scenarios, the study identifies strategies to enhance sustainability and reduce vulnerability to global market disruptions. Key findings highlight the importance of optimizing land and water use for local production while diversifying import sources to mitigate risks. The results also emphasize the role of government policies in achieving a sustainable balance between cost-effectiveness and strategic resilience. The proposed approach provides a decision-support framework adaptable to other resource-constrained, import-dependent nations. Future extensions could include dynamic modeling to capture evolving market conditions and nonlinear optimization techniques for more complex trade scenarios.
AB - This paper develops a linear programming model to optimize the balance between domestic agricultural production and imports in Qatar, aligning with the goals of the Qatar National Food Security Strategy (QNFSS). The model incorporates economic, environmental, and policy constraints to ensure food security while addressing critical challenges such as resource limitations, supply chain resilience, and reliance on imports. By evaluating various production and import scenarios, the study identifies strategies to enhance sustainability and reduce vulnerability to global market disruptions. Key findings highlight the importance of optimizing land and water use for local production while diversifying import sources to mitigate risks. The results also emphasize the role of government policies in achieving a sustainable balance between cost-effectiveness and strategic resilience. The proposed approach provides a decision-support framework adaptable to other resource-constrained, import-dependent nations. Future extensions could include dynamic modeling to capture evolving market conditions and nonlinear optimization techniques for more complex trade scenarios.
KW - Food security
KW - Import optimization
KW - Mathematical modeling
KW - Mixed integer linear programming
UR - https://www.scopus.com/pages/publications/105020011461
U2 - 10.1007/978-981-96-6438-2_20
DO - 10.1007/978-981-96-6438-2_20
M3 - Conference contribution
AN - SCOPUS:105020011461
SN - 9789819664375
VL - 1415
T3 - Lecture Notes In Networks And Systems
SP - 301
EP - 310
BT - Proceedings Of Tenth International Congress On Information And Communication Technology, Icict 2025, Vol 9
A2 - Yang, XS
A2 - Sherratt, S
A2 - Dey, N
A2 - Joshi, A
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 February 2025 through 21 February 2025
ER -