Designing climate-adaptable agricultural supply chain networks with heterogeneous regions for perishable food systems in Turkey: A sustainable multi-echelon optimization approach

This study develops a drought-aware agricultural supply chain network (AGSCN) for perishable crops at risk of drought, explicitly incorporating spatial zoning across heterogeneous farming regions with distinct production characteristics, including low- and high-risk zones. A bi-objective mixed-integer linear programming (BOMILP) model is formulated to simultaneously minimize total system cost and carbon emissions, thereby capturing economic efficiency and environmental sustainability considerations in perishable agricultural supply chain (AGSC) operations. The key contributions of this study are: (i) explicit integration of spatially heterogeneous production zones, enabling region-dependent production and allocation decisions under drought conditions; (ii) incorporation of region-specific drought disruption rates and yield factors to represent heterogeneous climate impacts on agricultural production capacity and supply chain performance; (iii) development of a unified BOMILP framework that jointly optimizes economic and environmental objectives in perishable AGSCNs; and (iv) a sequential multi-echelon distribution structure linking (iv) a sequential multi-echelon distribution structure linking farmers, local markets, wholesale markets, processing/export facilities, and consumers while accounting for capacity limitations and the operational characteristics of perishable agricultural products. A real-world case study of the Turkish tomato supply chain demonstrates the applicability of the proposed framework. The results show that increasing drought severity substantially changes regional sourcing patterns: the contribution of the high-risk Zone B to total supply decreases from approximately 45% under mild drought conditions to 22% under severe drought. In contrast, the model increases reliance on the more reliable Zone A, whose contribution reaches approximately 78% of the total network supply. These results demonstrate the model's ability to dynamically reallocate production and distribution flows in response to heterogeneous drought impacts while maintaining supply continuity. Overall, the findings highlight the importance of spatial diversification and adaptive sourcing strategies for improving the resilience and sustainability of perishable AGSCs under climate-induced disruptions.

Authors

Institutions

Publication Details

Journal
Sustainable Futures
Published
2026-09-24
DOI
https://doi.org/10.1016/j.sftr.2026.102141
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Designing climate-adaptable agricultural supply chain networks with heterogeneous regions for perishable food systems in Turkey: A sustainable multi-echelon optimization approach

Sina Abbasi, Yiğit Kazançoğlu
Sustainable Futures
Food Supply Chain Traceability
article

Designing climate-adaptable agricultural supply chain networks with heterogeneous regions for perishable food systems in Turkey: A sustainable multi-echelon optimization approach

Sina Abbasi, Yiğit Kazançoğlu
article en

Abstract

This study develops a drought-aware agricultural supply chain network (AGSCN) for perishable crops at risk of drought, explicitly incorporating spatial zoning across heterogeneous farming regions with distinct production characteristics, including low- and high-risk zones. A bi-objective mixed-integer linear programming (BOMILP) model is formulated to simultaneously minimize total system cost and carbon emissions, thereby capturing economic efficiency and environmental sustainability considerations in perishable agricultural supply chain (AGSC) operations. The key contributions of this study are: (i) explicit integration of spatially heterogeneous production zones, enabling region-dependent production and allocation decisions under drought conditions; (ii) incorporation of region-specific drought disruption rates and yield factors to represent heterogeneous climate impacts on agricultural production capacity and supply chain performance; (iii) development of a unified BOMILP framework that jointly optimizes economic and environmental objectives in perishable AGSCNs; and (iv) a sequential multi-echelon distribution structure linking (iv) a sequential multi-echelon distribution structure linking farmers, local markets, wholesale markets, processing/export facilities, and consumers while accounting for capacity limitations and the operational characteristics of perishable agricultural products. A real-world case study of the Turkish tomato supply chain demonstrates the applicability of the proposed framework. The results show that increasing drought severity substantially changes regional sourcing patterns: the contribution of the high-risk Zone B to total supply decreases from approximately 45% under mild drought conditions to 22% under severe drought. In contrast, the model increases reliance on the more reliable Zone A, whose contribution reaches approximately 78% of the total network supply. These results demonstrate the model's ability to dynamically reallocate production and distribution flows in response to heterogeneous drought impacts while maintaining supply continuity. Overall, the findings highlight the importance of spatial diversification and adaptive sourcing strategies for improving the resilience and sustainability of perishable AGSCs under climate-induced disruptions.

Sustainable FuturesVol. 12
Yaşar University (TR), Alzahra University (IR)
Zero hunger
Openalex Percentile: Top 14%
Food Supply Chain Traceability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.