TY - JOUR
T1 - Optimal locations of fresh produce aggregation facilities in the United States with scale economies
AU - Ge, Houtian
AU - Goetz, Stephan
AU - Canning, Patrick
AU - Perez, Agnes
N1 - Funding Information:
This research was partially supported by the U.S. Department of Agriculture (USDA). Partial funding under USDA NIFA grant no. 2011-68004-30057 and under a cooperative agreement with Economic Research Service (ERS) is gratefully acknowledged. The authors want to thank the Editor for his input into this article. Valuable comments from two anonymouse referees were also greatly appreciated.
Funding Information:
This research was partially supported by the U.S. Department of Agriculture ( USDA ). Partial funding under USDA NIFA grant no. 2011-68004-30057 and under a cooperative agreement with Economic Research Service ( ERS ) is gratefully acknowledged. The authors want to thank the Editor for his input into this article. Valuable comments from two anonymouse referees were also greatly appreciated.
Publisher Copyright:
© 2018
PY - 2018/3/1
Y1 - 2018/3/1
N2 - This article identifies through modeling the optimal locations of regional fresh produce facilities across the U.S. In contrast to much of the literature, we introduce establishment-level economies of scale to assess their impact on optimal solutions of facility locations, numbers and sizes. The facility location problem is formulated as a mixed integer linear programming model with the objective of minimizing total costs associated with fresh produce assembly, distribution facility operation. Our results suggest that the effect of scale economies is significant when large capacity facilities enjoy a comparative cost advantage. This article provides a replicable empirical framework to conduct impact and cost assessments for building and locating regional and local food system infrastructure. In addition, a number of future modeling scenarios are suggested.
AB - This article identifies through modeling the optimal locations of regional fresh produce facilities across the U.S. In contrast to much of the literature, we introduce establishment-level economies of scale to assess their impact on optimal solutions of facility locations, numbers and sizes. The facility location problem is formulated as a mixed integer linear programming model with the objective of minimizing total costs associated with fresh produce assembly, distribution facility operation. Our results suggest that the effect of scale economies is significant when large capacity facilities enjoy a comparative cost advantage. This article provides a replicable empirical framework to conduct impact and cost assessments for building and locating regional and local food system infrastructure. In addition, a number of future modeling scenarios are suggested.
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U2 - 10.1016/j.ijpe.2018.01.007
DO - 10.1016/j.ijpe.2018.01.007
M3 - Article
AN - SCOPUS:85042920741
VL - 197
SP - 143
EP - 157
JO - International Journal of Production Economics
JF - International Journal of Production Economics
SN - 0925-5273
ER -